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[DesireCourse.Net] Udemy - Machine Learning for Beginners Linear Regression model in R
magnet:?xt=urn:btih:3712b307a5e210be42f62b0fe86b1f432d8f9f70&dn=[DesireCourse.Net] Udemy - Machine Learning for Beginners Linear Regression model in R
磁力链接详情
Hash值:
3712b307a5e210be42f62b0fe86b1f432d8f9f70
点击数:
289
文件大小:
2.77 GB
文件数量:
53
创建日期:
2021-9-27 08:00
最后访问:
2024-5-19 23:03
访问标签:
DesireCourse
Net
Udemy
-
Machine
Learning
for
Beginners
Linear
Regression
model
in
R
文件列表详情
1. Introduction/1. Welcome to the course!.mp4 15.41 MB
1. Introduction/3. Course contents.mp4 47.05 MB
2. Basics of Statistics/1. Types of Data.mp4 25.87 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 45.68 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 40.84 MB
3. Getting started with R and R studio/2. Basics of R and R studio.mp4 48.19 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 46.15 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 69.15 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 45.27 MB
5. Data Preprocessing/1. Gathering Business Knowledge.mp4 25.12 MB
5. Data Preprocessing/10. Outlier Treatment in R.mp4 37.97 MB
5. Data Preprocessing/12. Missing Value imputation.mp4 27.56 MB
5. Data Preprocessing/13. Missing Value imputation in R.mp4 31.77 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 67.85 MB
5. Data Preprocessing/19. Non Usable Variables.mp4 23.95 MB
5. Data Preprocessing/2. Data Exploration.mp4 23.41 MB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4 40.61 MB
5. Data Preprocessing/21. Dummy variable creation in R.mp4 52.26 MB
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4 81.28 MB
5. Data Preprocessing/24. Correlation Matrix in R.mp4 95.06 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 15.98 MB
5. Data Preprocessing/6. Univariate Analysis and EDD.mp4 27.3 MB
5. Data Preprocessing/7. EDD in R.mp4 112.27 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/11. Multiple Linear Regression in R.mp4 73.1 MB
6. Linear Regression Model/14. Test-Train split.mp4 49.15 MB
6. Linear Regression Model/15. Bias Variance trade-off.mp4 29.58 MB
6. Linear Regression Model/16. Test-Train Split in R.mp4 91.05 MB
6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.mp4 50.23 MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 104.44 MB
6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.mp4 49.73 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
7. Regression models other than OLS/1. Linear models other than OLS.mp4 19.19 MB
7. Regression models other than OLS/2. Subset Selection techniques.mp4 87.11 MB
7. Regression models other than OLS/3. Subset selection in R.mp4 76.62 MB
7. Regression models other than OLS/5. Shrinkage methods - Ridge Regression and The Lasso.mp4 38.67 MB
7. Regression models other than OLS/6. Ridge regression and Lasso in R.mp4 124.25 MB
7. Regression models other than OLS/7. Heteroscedasticity.mp4 17.72 MB
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