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[DesireCourse.Net] Udemy - Machine Learning for Beginners Linear Regression model in R
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2021-9-27 08:00
2024-12-23 11:08
356
2.77 GB
53
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相关链接
DesireCourse
Net
Udemy
-
Machine
Learning
for
Beginners
Linear
Regression
model
in
R
文件列表
1. Introduction/1. Welcome to the course!.mp4
15.41MB
1. Introduction/3. Course contents.mp4
47.05MB
2. Basics of Statistics/1. Types of Data.mp4
25.87MB
2. Basics of Statistics/2. Types of Statistics.mp4
13.24MB
2. Basics of Statistics/3. Describing the data graphically.mp4
82.16MB
2. Basics of Statistics/4. Measures of Centers.mp4
45.68MB
2. Basics of Statistics/6. Measures of Dispersion.mp4
28.37MB
3. Getting started with R and R studio/1. Installing R and R studio.mp4
40.84MB
3. Getting started with R and R studio/2. Basics of R and R studio.mp4
48.19MB
3. Getting started with R and R studio/3. Packages in R.mp4
98.67MB
3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.mp4
46.15MB
3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.mp4
30.88MB
3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4
69.15MB
3. Getting started with R and R studio/7. Creating Barplots in R.mp4
117.54MB
3. Getting started with R and R studio/8. Creating Histograms in R.mp4
51.51MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4
123.89MB
4. Introduction to Machine Learning/2. Building a Machine Learning model.mp4
45.27MB
5. Data Preprocessing/1. Gathering Business Knowledge.mp4
25.12MB
5. Data Preprocessing/10. Outlier Treatment in R.mp4
37.97MB
5. Data Preprocessing/12. Missing Value imputation.mp4
27.56MB
5. Data Preprocessing/13. Missing Value imputation in R.mp4
31.77MB
5. Data Preprocessing/15. Seasonality in Data.mp4
20.89MB
5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4
113.76MB
5. Data Preprocessing/17. Variable transformation in R.mp4
67.85MB
5. Data Preprocessing/19. Non Usable Variables.mp4
23.95MB
5. Data Preprocessing/2. Data Exploration.mp4
23.41MB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4
40.61MB
5. Data Preprocessing/21. Dummy variable creation in R.mp4
52.26MB
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4
81.28MB
5. Data Preprocessing/24. Correlation Matrix in R.mp4
95.06MB
5. Data Preprocessing/3. The Data and the Data Dictionary.mp4
78.58MB
5. Data Preprocessing/4. Importing the dataset into R.mp4
15.98MB
5. Data Preprocessing/6. Univariate Analysis and EDD.mp4
27.3MB
5. Data Preprocessing/7. EDD in R.mp4
112.27MB
5. Data Preprocessing/9. Outlier Treatment.mp4
27.76MB
6. Linear Regression Model/1. The problem statement.mp4
10.68MB
6. Linear Regression Model/11. Multiple Linear Regression in R.mp4
73.1MB
6. Linear Regression Model/14. Test-Train split.mp4
49.15MB
6. Linear Regression Model/15. Bias Variance trade-off.mp4
29.58MB
6. Linear Regression Model/16. Test-Train Split in R.mp4
91.05MB
6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.mp4
50.23MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4
104.44MB
6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.mp4
49.73MB
6. Linear Regression Model/5. Simple Linear Regression in R.mp4
50.6MB
6. Linear Regression Model/7. Multiple Linear Regression.mp4
38.92MB
6. Linear Regression Model/8. The F - statistic.mp4
64.16MB
6. Linear Regression Model/9. Interpreting result for categorical Variable.mp4
27.16MB
7. Regression models other than OLS/1. Linear models other than OLS.mp4
19.19MB
7. Regression models other than OLS/2. Subset Selection techniques.mp4
87.11MB
7. Regression models other than OLS/3. Subset selection in R.mp4
76.62MB
7. Regression models other than OLS/5. Shrinkage methods - Ridge Regression and The Lasso.mp4
38.67MB
7. Regression models other than OLS/6. Ridge regression and Lasso in R.mp4
124.25MB
7. Regression models other than OLS/7. Heteroscedasticity.mp4
17.72MB
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