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GetFreeCourses.Co-Udemy-The Data Science Course 2022 Complete Data Science Bootcamp
magnet:?xt=urn:btih:e62d6200698652d758d6d8abf10576e79cc9f884&dn=GetFreeCourses.Co-Udemy-The Data Science Course 2022 Complete Data Science Bootcamp
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e62d6200698652d758d6d8abf10576e79cc9f884
infohash:
398
文件数量
7.7 GB
文件大小
2022-8-19 00:20
创建日期
2024-6-26 14:32
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相关分词
GetFreeCourses
Co-Udemy-The
Data
Science
Course
2022
Complete
Data
Science
Bootcamp
01 - Part 1_ Introduction/001 A Practical Example_ What You Will Learn in This Course.mp4 13.08 MB
01 - Part 1_ Introduction/002 What Does the Course Cover.mp4 49.69 MB
02 - The Field of Data Science - The Various Data Science Disciplines/001 Data Science and Business Buzzwords_ Why are there so Many_.mp4 54.72 MB
02 - The Field of Data Science - The Various Data Science Disciplines/002 What is the difference between Analysis and Analytics.mp4 8.01 MB
02 - The Field of Data Science - The Various Data Science Disciplines/003 Business Analytics, Data Analytics, and Data Science_ An Introduction.mp4 49.96 MB
02 - The Field of Data Science - The Various Data Science Disciplines/004 Continuing with BI, ML, and AI.mp4 35.94 MB
02 - The Field of Data Science - The Various Data Science Disciplines/005 A Breakdown of our Data Science Infographic.mp4 33.95 MB
03 - The Field of Data Science - Connecting the Data Science Disciplines/001 Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 21.73 MB
04 - The Field of Data Science - The Benefits of Each Discipline/001 The Reason Behind These Disciplines.mp4 12.41 MB
05 - The Field of Data Science - Popular Data Science Techniques/001 Techniques for Working with Traditional Data.mp4 105.52 MB
05 - The Field of Data Science - Popular Data Science Techniques/002 Real Life Examples of Traditional Data.mp4 13.92 MB
05 - The Field of Data Science - Popular Data Science Techniques/003 Techniques for Working with Big Data.mp4 60.48 MB
05 - The Field of Data Science - Popular Data Science Techniques/004 Real Life Examples of Big Data.mp4 4.21 MB
05 - The Field of Data Science - Popular Data Science Techniques/005 Business Intelligence (BI) Techniques.mp4 51.34 MB
05 - The Field of Data Science - Popular Data Science Techniques/006 Real Life Examples of Business Intelligence (BI).mp4 19.35 MB
05 - The Field of Data Science - Popular Data Science Techniques/007 Techniques for Working with Traditional Methods.mp4 74.75 MB
05 - The Field of Data Science - Popular Data Science Techniques/008 Real Life Examples of Traditional Methods.mp4 21.17 MB
05 - The Field of Data Science - Popular Data Science Techniques/009 Machine Learning (ML) Techniques.mp4 47.78 MB
05 - The Field of Data Science - Popular Data Science Techniques/010 Types of Machine Learning.mp4 61.78 MB
05 - The Field of Data Science - Popular Data Science Techniques/011 Real Life Examples of Machine Learning (ML).mp4 22.44 MB
06 - The Field of Data Science - Popular Data Science Tools/001 Necessary Programming Languages and Software Used in Data Science.mp4 19.54 MB
07 - The Field of Data Science - Careers in Data Science/001 Finding the Job - What to Expect and What to Look for.mp4 9.48 MB
08 - The Field of Data Science - Debunking Common Misconceptions/001 Debunking Common Misconceptions.mp4 16.43 MB
09 - Part 2_ Probability/001 The Basic Probability Formula.mp4 29.13 MB
09 - Part 2_ Probability/002 Computing Expected Values.mp4 29.24 MB
09 - Part 2_ Probability/003 Frequency.mp4 36.39 MB
09 - Part 2_ Probability/004 Events and Their Complements.mp4 11.4 MB
10 - Probability - Combinatorics/001 Fundamentals of Combinatorics.mp4 3.21 MB
10 - Probability - Combinatorics/002 Permutations and How to Use Them.mp4 13.97 MB
10 - Probability - Combinatorics/003 Simple Operations with Factorials.mp4 13.98 MB
10 - Probability - Combinatorics/004 Solving Variations with Repetition.mp4 13.75 MB
10 - Probability - Combinatorics/005 Solving Variations without Repetition.mp4 14.76 MB
10 - Probability - Combinatorics/006 Solving Combinations.mp4 18.99 MB
10 - Probability - Combinatorics/007 Symmetry of Combinations.mp4 13.51 MB
10 - Probability - Combinatorics/008 Solving Combinations with Separate Sample Spaces.mp4 12.87 MB
10 - Probability - Combinatorics/009 Combinatorics in Real-Life_ The Lottery.mp4 16.16 MB
10 - Probability - Combinatorics/010 A Recap of Combinatorics.mp4 12 MB
10 - Probability - Combinatorics/011 A Practical Example of Combinatorics.mp4 42.24 MB
11 - Probability - Bayesian Inference/001 Sets and Events.mp4 17.44 MB
11 - Probability - Bayesian Inference/002 Ways Sets Can Interact.mp4 19.02 MB
11 - Probability - Bayesian Inference/003 Intersection of Sets.mp4 8.78 MB
11 - Probability - Bayesian Inference/004 Union of Sets.mp4 19.47 MB
11 - Probability - Bayesian Inference/005 Mutually Exclusive Sets.mp4 5.25 MB
11 - Probability - Bayesian Inference/006 Dependence and Independence of Sets.mp4 11.98 MB
11 - Probability - Bayesian Inference/007 The Conditional Probability Formula.mp4 16.33 MB
11 - Probability - Bayesian Inference/008 The Law of Total Probability.mp4 11.39 MB
11 - Probability - Bayesian Inference/009 The Additive Rule.mp4 10.89 MB
11 - Probability - Bayesian Inference/010 The Multiplication Law.mp4 19.8 MB
11 - Probability - Bayesian Inference/011 Bayes' Law.mp4 20.94 MB
11 - Probability - Bayesian Inference/012 A Practical Example of Bayesian Inference.mp4 125.49 MB
12 - Probability - Distributions/001 Fundamentals of Probability Distributions.mp4 19.28 MB
12 - Probability - Distributions/002 Types of Probability Distributions.mp4 28.69 MB
12 - Probability - Distributions/003 Characteristics of Discrete Distributions.mp4 9.25 MB
12 - Probability - Distributions/004 Discrete Distributions_ The Uniform Distribution.mp4 10.08 MB
12 - Probability - Distributions/005 Discrete Distributions_ The Bernoulli Distribution.mp4 14.76 MB
12 - Probability - Distributions/006 Discrete Distributions_ The Binomial Distribution.mp4 24.94 MB
12 - Probability - Distributions/007 Discrete Distributions_ The Poisson Distribution.mp4 14.62 MB
12 - Probability - Distributions/008 Characteristics of Continuous Distributions.mp4 28.87 MB
12 - Probability - Distributions/009 Continuous Distributions_ The Normal Distribution.mp4 19.67 MB
12 - Probability - Distributions/010 Continuous Distributions_ The Standard Normal Distribution.mp4 20.72 MB
12 - Probability - Distributions/011 Continuous Distributions_ The Students' T Distribution.mp4 5.44 MB
12 - Probability - Distributions/012 Continuous Distributions_ The Chi-Squared Distribution.mp4 10.95 MB
12 - Probability - Distributions/013 Continuous Distributions_ The Exponential Distribution.mp4 15.76 MB
12 - Probability - Distributions/014 Continuous Distributions_ The Logistic Distribution.mp4 15.95 MB
12 - Probability - Distributions/015 A Practical Example of Probability Distributions.mp4 138.31 MB
13 - Probability - Probability in Other Fields/001 Probability in Finance.mp4 39.66 MB
13 - Probability - Probability in Other Fields/002 Probability in Statistics.mp4 14.26 MB
13 - Probability - Probability in Other Fields/003 Probability in Data Science.mp4 23.94 MB
14 - Part 3_ Statistics/001 Population and Sample.mp4 10.89 MB
15 - Statistics - Descriptive Statistics/001 Types of Data.mp4 42.47 MB
15 - Statistics - Descriptive Statistics/002 Levels of Measurement.mp4 31.44 MB
15 - Statistics - Descriptive Statistics/003 Categorical Variables - Visualization Techniques.mp4 36.65 MB
15 - Statistics - Descriptive Statistics/005 Numerical Variables - Frequency Distribution Table.mp4 12.8 MB
15 - Statistics - Descriptive Statistics/007 The Histogram.mp4 3.85 MB
15 - Statistics - Descriptive Statistics/009 Cross Tables and Scatter Plots.mp4 19.7 MB
15 - Statistics - Descriptive Statistics/011 Mean, median and mode.mp4 17.53 MB
15 - Statistics - Descriptive Statistics/013 Skewness.mp4 9.92 MB
15 - Statistics - Descriptive Statistics/015 Variance.mp4 20.21 MB
15 - Statistics - Descriptive Statistics/017 Standard Deviation and Coefficient of Variation.mp4 20.14 MB
15 - Statistics - Descriptive Statistics/019 Covariance.mp4 18.41 MB
15 - Statistics - Descriptive Statistics/021 Correlation Coefficient.mp4 19.38 MB
16 - Statistics - Practical Example_ Descriptive Statistics/001 Practical Example_ Descriptive Statistics.mp4 37.17 MB
17 - Statistics - Inferential Statistics Fundamentals/001 Introduction.mp4 2.93 MB
17 - Statistics - Inferential Statistics Fundamentals/002 What is a Distribution.mp4 16.9 MB
17 - Statistics - Inferential Statistics Fundamentals/003 The Normal Distribution.mp4 16.16 MB
17 - Statistics - Inferential Statistics Fundamentals/004 The Standard Normal Distribution.mp4 8.62 MB
17 - Statistics - Inferential Statistics Fundamentals/006 Central Limit Theorem.mp4 22.86 MB
17 - Statistics - Inferential Statistics Fundamentals/007 Standard error.mp4 13.33 MB
17 - Statistics - Inferential Statistics Fundamentals/008 Estimators and Estimates.mp4 16.13 MB
18 - Statistics - Inferential Statistics_ Confidence Intervals/001 What are Confidence Intervals_.mp4 28.38 MB
18 - Statistics - Inferential Statistics_ Confidence Intervals/002 Confidence Intervals; Population Variance Known; Z-score.mp4 52.21 MB
18 - Statistics - Inferential Statistics_ Confidence Intervals/004 Confidence Interval Clarifications.mp4 18.56 MB
18 - Statistics - Inferential Statistics_ Confidence Intervals/005 Student's T Distribution.mp4 13.33 MB
18 - Statistics - Inferential Statistics_ Confidence Intervals/006 Confidence Intervals; Population Variance Unknown; T-score.mp4 11.58 MB
18 - Statistics - Inferential Statistics_ Confidence Intervals/008 Margin of Error.mp4 22.66 MB
18 - Statistics - Inferential Statistics_ Confidence Intervals/009 Confidence intervals. Two means. Dependent samples.mp4 45.04 MB
18 - Statistics - Inferential Statistics_ Confidence Intervals/011 Confidence intervals. Two means. Independent Samples (Part 1).mp4 12 MB
18 - Statistics - Inferential Statistics_ Confidence Intervals/013 Confidence intervals. Two means. Independent Samples (Part 2).mp4 13.05 MB
18 - Statistics - Inferential Statistics_ Confidence Intervals/015 Confidence intervals. Two means. Independent Samples (Part 3).mp4 4.17 MB
19 - Statistics - Practical Example_ Inferential Statistics/001 Practical Example_ Inferential Statistics.mp4 22.1 MB
20 - Statistics - Hypothesis Testing/001 Null vs Alternative Hypothesis.mp4 80.83 MB
20 - Statistics - Hypothesis Testing/003 Rejection Region and Significance Level.mp4 38.2 MB
20 - Statistics - Hypothesis Testing/004 Type I Error and Type II Error.mp4 18.17 MB
20 - Statistics - Hypothesis Testing/005 Test for the Mean. Population Variance Known.mp4 36.96 MB
20 - Statistics - Hypothesis Testing/007 p-value.mp4 33.08 MB
20 - Statistics - Hypothesis Testing/008 Test for the Mean. Population Variance Unknown.mp4 19.72 MB
20 - Statistics - Hypothesis Testing/010 Test for the Mean. Dependent Samples.mp4 32.8 MB
20 - Statistics - Hypothesis Testing/012 Test for the mean. Independent Samples (Part 1).mp4 7.57 MB
20 - Statistics - Hypothesis Testing/014 Test for the mean. Independent Samples (Part 2).mp4 24.47 MB
21 - Statistics - Practical Example_ Hypothesis Testing/001 Practical Example_ Hypothesis Testing.mp4 16.3 MB
22 - Part 4_ Introduction to Python/001 Introduction to Programming.mp4 14.33 MB
22 - Part 4_ Introduction to Python/002 Why Python_.mp4 11.77 MB
22 - Part 4_ Introduction to Python/003 Why Jupyter_.mp4 7.96 MB
22 - Part 4_ Introduction to Python/004 Installing Python and Jupyter.mp4 32.86 MB
22 - Part 4_ Introduction to Python/005 Understanding Jupyter's Interface - the Notebook Dashboard.mp4 4.39 MB
22 - Part 4_ Introduction to Python/006 Prerequisites for Coding in the Jupyter Notebooks.mp4 15.38 MB
23 - Python - Variables and Data Types/001 Variables.mp4 8.93 MB
23 - Python - Variables and Data Types/002 Numbers and Boolean Values in Python.mp4 4.61 MB
23 - Python - Variables and Data Types/003 Python Strings.mp4 19.74 MB
24 - Python - Basic Python Syntax/001 Using Arithmetic Operators in Python.mp4 7.28 MB
24 - Python - Basic Python Syntax/002 The Double Equality Sign.mp4 2.72 MB
24 - Python - Basic Python Syntax/003 How to Reassign Values.mp4 1.86 MB
24 - Python - Basic Python Syntax/004 Add Comments.mp4 2.41 MB
24 - Python - Basic Python Syntax/005 Understanding Line Continuation.mp4 1014.51 KB
24 - Python - Basic Python Syntax/006 Indexing Elements.mp4 2.36 MB
24 - Python - Basic Python Syntax/007 Structuring with Indentation.mp4 2.8 MB
25 - Python - Other Python Operators/001 Comparison Operators.mp4 3.12 MB
25 - Python - Other Python Operators/002 Logical and Identity Operators.mp4 19 MB
26 - Python - Conditional Statements/001 The IF Statement.mp4 5.33 MB
26 - Python - Conditional Statements/002 The ELSE Statement.mp4 5.25 MB
26 - Python - Conditional Statements/003 The ELIF Statement.mp4 14.25 MB
26 - Python - Conditional Statements/004 A Note on Boolean Values.mp4 3.26 MB
27 - Python - Python Functions/001 Defining a Function in Python.mp4 3.23 MB
27 - Python - Python Functions/002 How to Create a Function with a Parameter.mp4 8.29 MB
27 - Python - Python Functions/003 Defining a Function in Python - Part II.mp4 6.45 MB
27 - Python - Python Functions/004 How to Use a Function within a Function.mp4 3.25 MB
27 - Python - Python Functions/005 Conditional Statements and Functions.mp4 6.04 MB
27 - Python - Python Functions/006 Functions Containing a Few Arguments.mp4 2.24 MB
27 - Python - Python Functions/007 Built-in Functions in Python.mp4 8.5 MB
28 - Python - Sequences/001 Lists.mp4 20.5 MB
28 - Python - Sequences/002 Using Methods.mp4 23.42 MB
28 - Python - Sequences/003 List Slicing.mp4 19.17 MB
28 - Python - Sequences/004 Tuples.mp4 9.5 MB
28 - Python - Sequences/005 Dictionaries.mp4 24.91 MB
29 - Python - Iterations/001 For Loops.mp4 23.58 MB
29 - Python - Iterations/002 While Loops and Incrementing.mp4 20.2 MB
29 - Python - Iterations/003 Lists with the range() Function.mp4 14.5 MB
29 - Python - Iterations/004 Conditional Statements and Loops.mp4 21.94 MB
29 - Python - Iterations/005 Conditional Statements, Functions, and Loops.mp4 2.91 MB
29 - Python - Iterations/006 How to Iterate over Dictionaries.mp4 16.46 MB
30 - Python - Advanced Python Tools/001 Object Oriented Programming.mp4 8.42 MB
30 - Python - Advanced Python Tools/002 Modules and Packages.mp4 1.71 MB
30 - Python - Advanced Python Tools/003 What is the Standard Library_.mp4 4.87 MB
30 - Python - Advanced Python Tools/004 Importing Modules in Python.mp4 8.53 MB
31 - Part 5_ Advanced Statistical Methods in Python/001 Introduction to Regression Analysis.mp4 2.92 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/001 The Linear Regression Model.mp4 13.16 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/002 Correlation vs Regression.mp4 3.75 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/003 Geometrical Representation of the Linear Regression Model.mp4 1.75 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/004 Python Packages Installation.mp4 23.7 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/005 First Regression in Python.mp4 29.63 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/007 Using Seaborn for Graphs.mp4 7.37 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/008 How to Interpret the Regression Table.mp4 28.72 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/009 Decomposition of Variability.mp4 8.62 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/010 What is the OLS_.mp4 22.44 MB
32 - Advanced Statistical Methods - Linear Regression with StatsModels/011 R-Squared.mp4 10.79 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/001 Multiple Linear Regression.mp4 5.54 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/002 Adjusted R-Squared.mp4 34.22 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/004 Test for Significance of the Model (F-Test).mp4 5.9 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/005 OLS Assumptions.mp4 5.12 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/006 A1_ Linearity.mp4 2.66 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/007 A2_ No Endogeneity.mp4 8.99 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/008 A3_ Normality and Homoscedasticity.mp4 27.39 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/009 A4_ No Autocorrelation.mp4 7.67 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/010 A5_ No Multicollinearity.mp4 7.36 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/011 Dealing with Categorical Data - Dummy Variables.mp4 35.09 MB
33 - Advanced Statistical Methods - Multiple Linear Regression with StatsModels/013 Making Predictions with the Linear Regression.mp4 16.36 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/001 What is sklearn and How is it Different from Other Packages.mp4 6.24 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/002 How are we Going to Approach this Section_.mp4 4.03 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/003 Simple Linear Regression with sklearn.mp4 31.65 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/004 Simple Linear Regression with sklearn - A StatsModels-like Summary Table.mp4 28.88 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/007 Multiple Linear Regression with sklearn.mp4 9.81 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/008 Calculating the Adjusted R-Squared in sklearn.mp4 16.92 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/010 Feature Selection (F-regression).mp4 15.68 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/012 Creating a Summary Table with P-values.mp4 6.45 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/014 Feature Scaling (Standardization).mp4 20.37 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/015 Feature Selection through Standardization of Weights.mp4 27.16 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/016 Predicting with the Standardized Coefficients.mp4 18.34 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/018 Underfitting and Overfitting.mp4 5.69 MB
34 - Advanced Statistical Methods - Linear Regression with sklearn/019 Train - Test Split Explained.mp4 35.58 MB
35 - Advanced Statistical Methods - Practical Example_ Linear Regression/001 Practical Example_ Linear Regression (Part 1).mp4 84.84 MB
35 - Advanced Statistical Methods - Practical Example_ Linear Regression/002 Practical Example_ Linear Regression (Part 2).mp4 31.9 MB
35 - Advanced Statistical Methods - Practical Example_ Linear Regression/004 Practical Example_ Linear Regression (Part 3).mp4 6.91 MB
35 - Advanced Statistical Methods - Practical Example_ Linear Regression/006 Practical Example_ Linear Regression (Part 4).mp4 29.84 MB
35 - Advanced Statistical Methods - Practical Example_ Linear Regression/008 Practical Example_ Linear Regression (Part 5).mp4 50.42 MB
36 - Advanced Statistical Methods - Logistic Regression/001 Introduction to Logistic Regression.mp4 4.41 MB
36 - Advanced Statistical Methods - Logistic Regression/002 A Simple Example in Python.mp4 21.91 MB
36 - Advanced Statistical Methods - Logistic Regression/003 Logistic vs Logit Function.mp4 43.96 MB
36 - Advanced Statistical Methods - Logistic Regression/004 Building a Logistic Regression.mp4 8.61 MB
36 - Advanced Statistical Methods - Logistic Regression/006 An Invaluable Coding Tip.mp4 16.77 MB
36 - Advanced Statistical Methods - Logistic Regression/007 Understanding Logistic Regression Tables.mp4 12.89 MB
36 - Advanced Statistical Methods - Logistic Regression/009 What do the Odds Actually Mean.mp4 11.38 MB
36 - Advanced Statistical Methods - Logistic Regression/010 Binary Predictors in a Logistic Regression.mp4 18.47 MB
36 - Advanced Statistical Methods - Logistic Regression/012 Calculating the Accuracy of the Model.mp4 20.28 MB
36 - Advanced Statistical Methods - Logistic Regression/014 Underfitting and Overfitting.mp4 7.25 MB
36 - Advanced Statistical Methods - Logistic Regression/015 Testing the Model.mp4 21.6 MB
37 - Advanced Statistical Methods - Cluster Analysis/001 Introduction to Cluster Analysis.mp4 10.66 MB
37 - Advanced Statistical Methods - Cluster Analysis/002 Some Examples of Clusters.mp4 35.12 MB
37 - Advanced Statistical Methods - Cluster Analysis/003 Difference between Classification and Clustering.mp4 9.53 MB
37 - Advanced Statistical Methods - Cluster Analysis/004 Math Prerequisites.mp4 4.47 MB
38 - Advanced Statistical Methods - K-Means Clustering/001 K-Means Clustering.mp4 10.53 MB
38 - Advanced Statistical Methods - K-Means Clustering/002 A Simple Example of Clustering.mp4 26.08 MB
38 - Advanced Statistical Methods - K-Means Clustering/004 Clustering Categorical Data.mp4 10.35 MB
38 - Advanced Statistical Methods - K-Means Clustering/006 How to Choose the Number of Clusters.mp4 19.79 MB
38 - Advanced Statistical Methods - K-Means Clustering/008 Pros and Cons of K-Means Clustering.mp4 10.93 MB
38 - Advanced Statistical Methods - K-Means Clustering/009 To Standardize or not to Standardize.mp4 10.5 MB
38 - Advanced Statistical Methods - K-Means Clustering/010 Relationship between Clustering and Regression.mp4 2.42 MB
38 - Advanced Statistical Methods - K-Means Clustering/011 Market Segmentation with Cluster Analysis (Part 1).mp4 21.16 MB
38 - Advanced Statistical Methods - K-Means Clustering/012 Market Segmentation with Cluster Analysis (Part 2).mp4 34.08 MB
38 - Advanced Statistical Methods - K-Means Clustering/013 How is Clustering Useful_.mp4 36.49 MB
39 - Advanced Statistical Methods - Other Types of Clustering/001 Types of Clustering.mp4 7.57 MB
39 - Advanced Statistical Methods - Other Types of Clustering/002 Dendrogram.mp4 17.34 MB
39 - Advanced Statistical Methods - Other Types of Clustering/003 Heatmaps.mp4 25.71 MB
40 - Part 6_ Mathematics/001 What is a Matrix_.mp4 11.7 MB
40 - Part 6_ Mathematics/002 Scalars and Vectors.mp4 8.39 MB
40 - Part 6_ Mathematics/003 Linear Algebra and Geometry.mp4 13.56 MB
40 - Part 6_ Mathematics/004 Arrays in Python - A Convenient Way To Represent Matrices.mp4 19.01 MB
40 - Part 6_ Mathematics/005 What is a Tensor_.mp4 11.61 MB
40 - Part 6_ Mathematics/006 Addition and Subtraction of Matrices.mp4 22.08 MB
40 - Part 6_ Mathematics/007 Errors when Adding Matrices.mp4 3.34 MB
40 - Part 6_ Mathematics/008 Transpose of a Matrix.mp4 20.49 MB
40 - Part 6_ Mathematics/009 Dot Product.mp4 11.36 MB
40 - Part 6_ Mathematics/010 Dot Product of Matrices.mp4 26.42 MB
40 - Part 6_ Mathematics/011 Why is Linear Algebra Useful_.mp4 86.18 MB
41 - Part 7_ Deep Learning/001 What to Expect from this Part_.mp4 7.56 MB
42 - Deep Learning - Introduction to Neural Networks/001 Introduction to Neural Networks.mp4 10.37 MB
42 - Deep Learning - Introduction to Neural Networks/002 Training the Model.mp4 7.57 MB
42 - Deep Learning - Introduction to Neural Networks/003 Types of Machine Learning.mp4 9.81 MB
42 - Deep Learning - Introduction to Neural Networks/004 The Linear Model (Linear Algebraic Version).mp4 7.87 MB
42 - Deep Learning - Introduction to Neural Networks/005 The Linear Model with Multiple Inputs.mp4 7.77 MB
42 - Deep Learning - Introduction to Neural Networks/006 The Linear model with Multiple Inputs and Multiple Outputs.mp4 16.23 MB
42 - Deep Learning - Introduction to Neural Networks/007 Graphical Representation of Simple Neural Networks.mp4 6.35 MB
42 - Deep Learning - Introduction to Neural Networks/008 What is the Objective Function_.mp4 6.03 MB
42 - Deep Learning - Introduction to Neural Networks/009 Common Objective Functions_ L2-norm Loss.mp4 4.47 MB
42 - Deep Learning - Introduction to Neural Networks/010 Common Objective Functions_ Cross-Entropy Loss.mp4 9.68 MB
42 - Deep Learning - Introduction to Neural Networks/011 Optimization Algorithm_ 1-Parameter Gradient Descent.mp4 22.7 MB
42 - Deep Learning - Introduction to Neural Networks/012 Optimization Algorithm_ n-Parameter Gradient Descent.mp4 16.35 MB
43 - Deep Learning - How to Build a Neural Network from Scratch with NumPy/001 Basic NN Example (Part 1).mp4 5.14 MB
43 - Deep Learning - How to Build a Neural Network from Scratch with NumPy/002 Basic NN Example (Part 2).mp4 15.23 MB
43 - Deep Learning - How to Build a Neural Network from Scratch with NumPy/003 Basic NN Example (Part 3).mp4 15.68 MB
43 - Deep Learning - How to Build a Neural Network from Scratch with NumPy/004 Basic NN Example (Part 4).mp4 30.06 MB
44 - Deep Learning - TensorFlow 2.0_ Introduction/001 How to Install TensorFlow 2.0.mp4 27.34 MB
44 - Deep Learning - TensorFlow 2.0_ Introduction/002 TensorFlow Outline and Comparison with Other Libraries.mp4 14.94 MB
44 - Deep Learning - TensorFlow 2.0_ Introduction/003 TensorFlow 1 vs TensorFlow 2.mp4 14.95 MB
44 - Deep Learning - TensorFlow 2.0_ Introduction/004 A Note on TensorFlow 2 Syntax.mp4 2.34 MB
44 - Deep Learning - TensorFlow 2.0_ Introduction/005 Types of File Formats Supporting TensorFlow.mp4 7.25 MB
44 - Deep Learning - TensorFlow 2.0_ Introduction/006 Outlining the Model with TensorFlow 2.mp4 26.99 MB
44 - Deep Learning - TensorFlow 2.0_ Introduction/007 Interpreting the Result and Extracting the Weights and Bias.mp4 13.67 MB
44 - Deep Learning - TensorFlow 2.0_ Introduction/008 Customizing a TensorFlow 2 Model.mp4 16.78 MB
45 - Deep Learning - Digging Deeper into NNs_ Introducing Deep Neural Networks/001 What is a Layer_.mp4 3.47 MB
45 - Deep Learning - Digging Deeper into NNs_ Introducing Deep Neural Networks/002 What is a Deep Net_.mp4 11.06 MB
45 - Deep Learning - Digging Deeper into NNs_ Introducing Deep Neural Networks/003 Digging into a Deep Net.mp4 19.14 MB
45 - Deep Learning - Digging Deeper into NNs_ Introducing Deep Neural Networks/004 Non-Linearities and their Purpose.mp4 9.74 MB
45 - Deep Learning - Digging Deeper into NNs_ Introducing Deep Neural Networks/005 Activation Functions.mp4 8.53 MB
45 - Deep Learning - Digging Deeper into NNs_ Introducing Deep Neural Networks/006 Activation Functions_ Softmax Activation.mp4 8.42 MB
45 - Deep Learning - Digging Deeper into NNs_ Introducing Deep Neural Networks/007 Backpropagation.mp4 19.49 MB
45 - Deep Learning - Digging Deeper into NNs_ Introducing Deep Neural Networks/008 Backpropagation Picture.mp4 7.68 MB
46 - Deep Learning - Overfitting/001 What is Overfitting_.mp4 10.5 MB
46 - Deep Learning - Overfitting/002 Underfitting and Overfitting for Classification.mp4 13.53 MB
46 - Deep Learning - Overfitting/003 What is Validation_.mp4 8.14 MB
46 - Deep Learning - Overfitting/004 Training, Validation, and Test Datasets.mp4 7.74 MB
46 - Deep Learning - Overfitting/005 N-Fold Cross Validation.mp4 5.14 MB
46 - Deep Learning - Overfitting/006 Early Stopping or When to Stop Training.mp4 8.5 MB
47 - Deep Learning - Initialization/001 What is Initialization_.mp4 17.42 MB
47 - Deep Learning - Initialization/002 Types of Simple Initializations.mp4 5.73 MB
47 - Deep Learning - Initialization/003 State-of-the-Art Method - (Xavier) Glorot Initialization.mp4 4.18 MB
48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/001 Stochastic Gradient Descent.mp4 7.62 MB
48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/002 Problems with Gradient Descent.mp4 3.51 MB
48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/003 Momentum.mp4 5.01 MB
48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/004 Learning Rate Schedules, or How to Choose the Optimal Learning Rate.mp4 12.03 MB
48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/005 Learning Rate Schedules Visualized.mp4 2.34 MB
48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/006 Adaptive Learning Rate Schedules (AdaGrad and RMSprop ).mp4 8.24 MB
48 - Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/007 Adam (Adaptive Moment Estimation).mp4 6.88 MB
49 - Deep Learning - Preprocessing/001 Preprocessing Introduction.mp4 8.98 MB
49 - Deep Learning - Preprocessing/002 Types of Basic Preprocessing.mp4 2.4 MB
49 - Deep Learning - Preprocessing/003 Standardization.mp4 11.95 MB
49 - Deep Learning - Preprocessing/004 Preprocessing Categorical Data.mp4 5.34 MB
49 - Deep Learning - Preprocessing/005 Binary and One-Hot Encoding.mp4 8.36 MB
50 - Deep Learning - Classifying on the MNIST Dataset/001 MNIST_ The Dataset.mp4 4.06 MB
50 - Deep Learning - Classifying on the MNIST Dataset/002 MNIST_ How to Tackle the MNIST.mp4 7.66 MB
50 - Deep Learning - Classifying on the MNIST Dataset/003 MNIST_ Importing the Relevant Packages and Loading the Data.mp4 12.24 MB
50 - Deep Learning - Classifying on the MNIST Dataset/004 MNIST_ Preprocess the Data - Create a Validation Set and Scale It.mp4 22.93 MB
50 - Deep Learning - Classifying on the MNIST Dataset/006 MNIST_ Preprocess the Data - Shuffle and Batch.mp4 32.71 MB
50 - Deep Learning - Classifying on the MNIST Dataset/008 MNIST_ Outline the Model.mp4 22.09 MB
50 - Deep Learning - Classifying on the MNIST Dataset/009 MNIST_ Select the Loss and the Optimizer.mp4 10.65 MB
50 - Deep Learning - Classifying on the MNIST Dataset/010 MNIST_ Learning.mp4 31.03 MB
50 - Deep Learning - Classifying on the MNIST Dataset/012 MNIST_ Testing the Model.mp4 22.64 MB
51 - Deep Learning - Business Case Example/001 Business Case_ Exploring the Dataset and Identifying Predictors.mp4 51.38 MB
51 - Deep Learning - Business Case Example/002 Business Case_ Outlining the Solution.mp4 2.21 MB
51 - Deep Learning - Business Case Example/003 Business Case_ Balancing the Dataset.mp4 26.19 MB
51 - Deep Learning - Business Case Example/004 Business Case_ Preprocessing the Data.mp4 73.82 MB
51 - Deep Learning - Business Case Example/006 Business Case_ Load the Preprocessed Data.mp4 13.8 MB
51 - Deep Learning - Business Case Example/008 Business Case_ Learning and Interpreting the Result.mp4 27.77 MB
51 - Deep Learning - Business Case Example/009 Business Case_ Setting an Early Stopping Mechanism.mp4 43.81 MB
51 - Deep Learning - Business Case Example/011 Business Case_ Testing the Model.mp4 8.19 MB
52 - Deep Learning - Conclusion/001 Summary on What You've Learned.mp4 9.66 MB
52 - Deep Learning - Conclusion/002 What's Further out there in terms of Machine Learning.mp4 3.71 MB
52 - Deep Learning - Conclusion/004 An overview of CNNs.mp4 30.47 MB
52 - Deep Learning - Conclusion/005 An Overview of RNNs.mp4 6.75 MB
52 - Deep Learning - Conclusion/006 An Overview of non-NN Approaches.mp4 15.65 MB
53 - Appendix_ Deep Learning - TensorFlow 1_ Introduction/002 How to Install TensorFlow 1.mp4 3.71 MB
53 - Appendix_ Deep Learning - TensorFlow 1_ Introduction/004 TensorFlow Intro.mp4 16.56 MB
53 - Appendix_ Deep Learning - TensorFlow 1_ Introduction/005 Actual Introduction to TensorFlow.mp4 6.17 MB
53 - Appendix_ Deep Learning - TensorFlow 1_ Introduction/006 Types of File Formats, supporting Tensors.mp4 8.9 MB
53 - Appendix_ Deep Learning - TensorFlow 1_ Introduction/007 Basic NN Example with TF_ Inputs, Outputs, Targets, Weights, Biases.mp4 28 MB
53 - Appendix_ Deep Learning - TensorFlow 1_ Introduction/008 Basic NN Example with TF_ Loss Function and Gradient Descent.mp4 15.72 MB
53 - Appendix_ Deep Learning - TensorFlow 1_ Introduction/009 Basic NN Example with TF_ Model Output.mp4 17.09 MB
54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/001 MNIST_ What is the MNIST Dataset_.mp4 4.23 MB
54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/002 MNIST_ How to Tackle the MNIST.mp4 7.68 MB
54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/003 MNIST_ Relevant Packages.mp4 7.88 MB
54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/004 MNIST_ Model Outline.mp4 34.69 MB
54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/005 MNIST_ Loss and Optimization Algorithm.mp4 11.56 MB
54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/006 Calculating the Accuracy of the Model.mp4 16.64 MB
54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/007 MNIST_ Batching and Early Stopping.mp4 8.7 MB
54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/008 MNIST_ Learning.mp4 31.88 MB
54 - Appendix_ Deep Learning - TensorFlow 1_ Classifying on the MNIST Dataset/009 MNIST_ Results and Testing.mp4 38.19 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/001 Business Case_ Getting Acquainted with the Dataset.mp4 60.26 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/002 Business Case_ Outlining the Solution.mp4 2.89 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/003 The Importance of Working with a Balanced Dataset.mp4 21.6 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/004 Business Case_ Preprocessing.mp4 74.39 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/006 Creating a Data Provider.mp4 56.23 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/007 Business Case_ Model Outline.mp4 42.48 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/008 Business Case_ Optimization.mp4 26.95 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/009 Business Case_ Interpretation.mp4 18.59 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/010 Business Case_ Testing the Model.mp4 4.39 MB
55 - Appendix_ Deep Learning - TensorFlow 1_ Business Case/011 Business Case_ A Comment on the Homework.mp4 19.64 MB
56 - Software Integration/001 What are Data, Servers, Clients, Requests, and Responses.mp4 19.17 MB
56 - Software Integration/002 What are Data Connectivity, APIs, and Endpoints_.mp4 58.83 MB
56 - Software Integration/003 Taking a Closer Look at APIs.mp4 65.29 MB
56 - Software Integration/004 Communication between Software Products through Text Files.mp4 9.28 MB
56 - Software Integration/005 Software Integration - Explained.mp4 41.99 MB
57 - Case Study - What's Next in the Course_/001 Game Plan for this Python, SQL, and Tableau Business Exercise.mp4 15.8 MB
57 - Case Study - What's Next in the Course_/002 The Business Task.mp4 6.8 MB
57 - Case Study - What's Next in the Course_/003 Introducing the Data Set.mp4 15.29 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/002 Importing the Absenteeism Data in Python.mp4 18.03 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/003 Checking the Content of the Data Set.mp4 54.27 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/004 Introduction to Terms with Multiple Meanings.mp4 18.04 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/006 Using a Statistical Approach towards the Solution to the Exercise.mp4 9.9 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/007 Dropping a Column from a DataFrame in Python.mp4 41.3 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/010 Analyzing the Reasons for Absence.mp4 27.63 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/011 Obtaining Dummies from a Single Feature.mp4 63.77 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/015 More on Dummy Variables_ A Statistical Perspective.mp4 3.18 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/016 Classifying the Various Reasons for Absence.mp4 51.32 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/017 Using .concat() in Python.mp4 19.77 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/020 Reordering Columns in a Pandas DataFrame in Python.mp4 7.18 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/023 Creating Checkpoints while Coding in Jupyter.mp4 17.34 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/026 Analyzing the Dates from the Initial Data Set.mp4 40.13 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/027 Extracting the Month Value from the _Date_ Column.mp4 38.91 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/028 Extracting the Day of the Week from the _Date_ Column.mp4 9.12 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/030 Analyzing Several _Straightforward_ Columns for this Exercise.mp4 12.23 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/031 Working on _Education_, _Children_, and _Pets_.mp4 19.69 MB
58 - Case Study - Preprocessing the 'Absenteeism_data'/032 Final Remarks of this Section.mp4 17.04 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/001 Exploring the Problem with a Machine Learning Mindset.mp4 11.08 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/002 Creating the Targets for the Logistic Regression.mp4 32.5 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/003 Selecting the Inputs for the Logistic Regression.mp4 4.64 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/004 Standardizing the Data.mp4 15.14 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/005 Splitting the Data for Training and Testing.mp4 36.12 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/006 Fitting the Model and Assessing its Accuracy.mp4 35.29 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/007 Creating a Summary Table with the Coefficients and Intercept.mp4 26.98 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/008 Interpreting the Coefficients for Our Problem.mp4 34.41 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/009 Standardizing only the Numerical Variables (Creating a Custom Scaler).mp4 28.02 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/010 Interpreting the Coefficients of the Logistic Regression.mp4 15.22 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/011 Backward Elimination or How to Simplify Your Model.mp4 31.96 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/012 Testing the Model We Created.mp4 31.63 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/013 Saving the Model and Preparing it for Deployment.mp4 25.52 MB
59 - Case Study - Applying Machine Learning to Create the 'absenteeism_module'/016 Preparing the Deployment of the Model through a Module.mp4 28.57 MB
60 - Case Study - Loading the 'absenteeism_module'/002 Deploying the 'absenteeism_module' - Part I.mp4 8.38 MB
60 - Case Study - Loading the 'absenteeism_module'/003 Deploying the 'absenteeism_module' - Part II.mp4 25.99 MB
61 - Case Study - Analyzing the Predicted Outputs in Tableau/002 Analyzing Age vs Probability in Tableau.mp4 38.69 MB
61 - Case Study - Analyzing the Predicted Outputs in Tableau/004 Analyzing Reasons vs Probability in Tableau.mp4 40.24 MB
61 - Case Study - Analyzing the Predicted Outputs in Tableau/006 Analyzing Transportation Expense vs Probability in Tableau.mp4 10.87 MB
62 - Appendix - Additional Python Tools/001 Using the .format() Method.mp4 21.67 MB
62 - Appendix - Additional Python Tools/002 Iterating Over Range Objects.mp4 7.85 MB
62 - Appendix - Additional Python Tools/003 Introduction to Nested For Loops.mp4 12.26 MB
62 - Appendix - Additional Python Tools/004 Triple Nested For Loops.mp4 19.4 MB
62 - Appendix - Additional Python Tools/005 List Comprehensions.mp4 43.23 MB
62 - Appendix - Additional Python Tools/006 Anonymous (Lambda) Functions.mp4 33.71 MB
63 - Appendix - pandas Fundamentals/001 Introduction to pandas Series.mp4 22.22 MB
63 - Appendix - pandas Fundamentals/002 Working with Methods in Python - Part I.mp4 16.8 MB
63 - Appendix - pandas Fundamentals/003 Working with Methods in Python - Part II.mp4 5.77 MB
63 - Appendix - pandas Fundamentals/004 Parameters and Arguments in pandas.mp4 15.45 MB
63 - Appendix - pandas Fundamentals/005 Using .unique() and .nunique().mp4 26.33 MB
63 - Appendix - pandas Fundamentals/006 Using .sort_values().mp4 13.2 MB
63 - Appendix - pandas Fundamentals/007 Introduction to pandas DataFrames - Part I.mp4 10.6 MB
63 - Appendix - pandas Fundamentals/008 Introduction to pandas DataFrames - Part II.mp4 17.83 MB
63 - Appendix - pandas Fundamentals/009 pandas DataFrames - Common Attributes.mp4 29.8 MB
63 - Appendix - pandas Fundamentals/010 Data Selection in pandas DataFrames.mp4 37.28 MB
63 - Appendix - pandas Fundamentals/011 pandas DataFrames - Indexing with .iloc[].mp4 23.54 MB
63 - Appendix - pandas Fundamentals/012 pandas DataFrames - Indexing with .loc[].mp4 20.72 MB
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