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[DesireCourse.Com] Udemy - Machine Learning Basics Building a Regression model in R
magnet:?xt=urn:btih:b33cf24c74fdd25b892da56359f42c3c1c56ca94&dn=[DesireCourse.Com] Udemy - Machine Learning Basics Building a Regression model in R
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b33cf24c74fdd25b892da56359f42c3c1c56ca94
infohash:
52
文件数量
2.75 GB
文件大小
2021-5-5 16:09
创建日期
2024-11-26 09:37
最后访问
相关分词
DesireCourse
Com
Udemy
-
Machine
Learning
Basics
Building
a
Regression
model
in
R
1. Introduction/1. Welcome to the course!.mp4 15.41 MB
1. Introduction/2. Course contents.mp4 47.04 MB
2. Basics of Statistics/1. Types of Data.mp4 25.86 MB
2. Basics of Statistics/2. Types of Statistics.mp4 13.24 MB
2. Basics of Statistics/3. Describing the data graphically.mp4 82.16 MB
2. Basics of Statistics/4. Measures of Centers.mp4 45.69 MB
2. Basics of Statistics/6. Measures of Dispersion.mp4 28.37 MB
3. Getting started with R and R studio/1. Installing R and R studio.mp4 40.83 MB
3. Getting started with R and R studio/2. Basics of R and R studio.mp4 48.2 MB
3. Getting started with R and R studio/3. Packages in R.mp4 98.67 MB
3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.mp4 46.16 MB
3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.mp4 30.88 MB
3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4 69.14 MB
3. Getting started with R and R studio/7. Creating Barplots in R.mp4 117.54 MB
3. Getting started with R and R studio/8. Creating Histograms in R.mp4 51.51 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 123.89 MB
4. Introduction to Machine Learning/2. Building a Machine Learning model.mp4 45.28 MB
5. Data Preprocessing/1. Gathering Business Knowledge.mp4 25.12 MB
5. Data Preprocessing/10. Outlier Treatment in R.mp4 37.98 MB
5. Data Preprocessing/12. Missing Value imputation.mp4 27.57 MB
5. Data Preprocessing/13. Missing Value imputation in R.mp4 31.76 MB
5. Data Preprocessing/15. Seasonality in Data.mp4 20.89 MB
5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 113.76 MB
5. Data Preprocessing/17. Variable transformation in R.mp4 67.86 MB
5. Data Preprocessing/19. Non Usable Variables.mp4 23.96 MB
5. Data Preprocessing/2. Data Exploration.mp4 23.42 MB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4 40.62 MB
5. Data Preprocessing/21. Dummy variable creation in R.mp4 52.27 MB
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4 81.29 MB
5. Data Preprocessing/24. Correlation Matrix in R.mp4 95.05 MB
5. Data Preprocessing/3. The Data and the Data Dictionary.mp4 78.58 MB
5. Data Preprocessing/4. Importing the dataset into R.mp4 15.99 MB
5. Data Preprocessing/6. Univariate Analysis and EDD.mp4 27.3 MB
5. Data Preprocessing/7. EDD in R.mp4 112.26 MB
5. Data Preprocessing/9. Outlier Treatment.mp4 27.76 MB
6. Linear Regression Model/1. The problem statement.mp4 10.68 MB
6. Linear Regression Model/10. Multiple Linear Regression in R.mp4 73.1 MB
6. Linear Regression Model/12. Test-Train split.mp4 49.15 MB
6. Linear Regression Model/13. Bias Variance trade-off.mp4 29.59 MB
6. Linear Regression Model/14. Test-Train Split in R.mp4 91.05 MB
6. Linear Regression Model/15. Linear models other than OLS.mp4 19.18 MB
6. Linear Regression Model/16. Subset Selection techniques.mp4 87.11 MB
6. Linear Regression Model/17. Subset selection in R.mp4 76.61 MB
6. Linear Regression Model/19. Shrinkage methods - Ridge Regression and The Lasso.mp4 38.67 MB
6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.mp4 50.23 MB
6. Linear Regression Model/20. Ridge regression and Lasso in R.mp4 124.24 MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 104.43 MB
6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.mp4 49.74 MB
6. Linear Regression Model/5. Simple Linear Regression in R.mp4 50.6 MB
6. Linear Regression Model/7. Multiple Linear Regression.mp4 38.92 MB
6. Linear Regression Model/8. The F - statistic.mp4 64.16 MB
6. Linear Regression Model/9. Interpreting result for categorical Variable.mp4 27.16 MB
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