[FreeCourseSite.com] Udemy - Complete Machine Learning with R Studio - ML for 2023
大小
5.49 GB
文件数
237
Info Hash:
C6D7044BEB36D6EF59890B0FDEA52F71A30C9BAB
收录时间
2026-01-09 18:37:34
更新时间
2026-01-09 18:37:34
文件列表 (237)
0. Websites you may like/[CourseClub.Me].url
122 B
0. Websites you may like/[FreeCourseSite.com].url
127 B
0. Websites you may like/[GigaCourse.Com].url
49 B
1. Welcome to the course/1. Introduction.mp4
21.19 MB
1. Welcome to the course/1. Introduction.srt
2.88 KB
1. Welcome to the course/2. Course Resources.html
346 B
10. Linear Discriminant Analysis/1. Linear Discriminant Analysis.mp4
48.38 MB
10. Linear Discriminant Analysis/1. Linear Discriminant Analysis.srt
12.29 KB
10. Linear Discriminant Analysis/2. Linear Discriminant Analysis in R.mp4
89.5 MB
10. Linear Discriminant Analysis/2. Linear Discriminant Analysis in R.srt
10.5 KB
11. K-Nearest Neighbors/0. Websites you may like/[CourseClub.Me].url
122 B
11. K-Nearest Neighbors/0. Websites you may like/[FreeCourseSite.com].url
127 B
11. K-Nearest Neighbors/0. Websites you may like/[GigaCourse.Com].url
49 B
11. K-Nearest Neighbors/1. Test-Train Split.mp4
45.37 MB
11. K-Nearest Neighbors/1. Test-Train Split.srt
10.97 KB
11. K-Nearest Neighbors/2. Test-Train Split in R.mp4
90.17 MB
11. K-Nearest Neighbors/2. Test-Train Split in R.srt
10.27 KB
11. K-Nearest Neighbors/3. K-Nearest Neighbors classifier.mp4
83.27 MB
11. K-Nearest Neighbors/3. K-Nearest Neighbors classifier.srt
10.33 KB
11. K-Nearest Neighbors/4. K-Nearest Neighbors in R.mp4
79.65 MB
11. K-Nearest Neighbors/4. K-Nearest Neighbors in R.srt
9.36 KB
12. Comparing results from 3 models/1. Understanding the results of classification models.mp4
45.8 MB
12. Comparing results from 3 models/1. Understanding the results of classification models.srt
7.8 KB
12. Comparing results from 3 models/2. Summary of the three models.mp4
25.13 MB
12. Comparing results from 3 models/2. Summary of the three models.srt
6.2 KB
13. Simple Decision Trees/1. Introduction to Decision trees.mp4
44.76 MB
13. Simple Decision Trees/1. Introduction to Decision trees.srt
4.57 KB
13. Simple Decision Trees/10. Pruning a Tree in R.mp4
96.97 MB
13. Simple Decision Trees/10. Pruning a Tree in R.srt
11.8 KB
13. Simple Decision Trees/2. Basics of Decision Trees.mp4
50.55 MB
13. Simple Decision Trees/2. Basics of Decision Trees.srt
13.19 KB
13. Simple Decision Trees/3. Understanding a Regression Tree.mp4
52.16 MB
13. Simple Decision Trees/3. Understanding a Regression Tree.srt
13.97 KB
13. Simple Decision Trees/4. The stopping criteria for controlling tree growth.mp4
16.5 MB
13. Simple Decision Trees/4. The stopping criteria for controlling tree growth.srt
4.29 KB
13. Simple Decision Trees/5. Course resources Notes and Datasets.html
79 B
13. Simple Decision Trees/5.1 Files_Dt_r.zip
2.07 MB
13. Simple Decision Trees/6. Importing the Data set into R.mp4
51.84 MB
13. Simple Decision Trees/6. Importing the Data set into R.srt
8.75 KB
13. Simple Decision Trees/7. Splitting Data into Test and Train Set in R.mp4
52.57 MB
13. Simple Decision Trees/7. Splitting Data into Test and Train Set in R.srt
7.29 KB
13. Simple Decision Trees/8. Building a Regression Tree in R.mp4
121.88 MB
13. Simple Decision Trees/8. Building a Regression Tree in R.srt
18.88 KB
13. Simple Decision Trees/9. Pruning a tree.mp4
22.23 MB
13. Simple Decision Trees/9. Pruning a tree.srt
5.42 KB
14. Simple Classification Tree/1. Classification Trees.mp4
33.04 MB
14. Simple Classification Tree/1. Classification Trees.srt
8.11 KB
14. Simple Classification Tree/2. The Data set for Classification problem.mp4
21.95 MB
14. Simple Classification Tree/2. The Data set for Classification problem.srt
2.36 KB
14. Simple Classification Tree/3. Building a classification Tree in R.mp4
100.1 MB
14. Simple Classification Tree/3. Building a classification Tree in R.srt
11.88 KB
14. Simple Classification Tree/4. Advantages and Disadvantages of Decision Trees.mp4
7.75 MB
14. Simple Classification Tree/4. Advantages and Disadvantages of Decision Trees.srt
2.16 KB
15. Ensemble technique 1 - Bagging/1. Bagging.mp4
32.33 MB
15. Ensemble technique 1 - Bagging/1. Bagging.srt
7.58 KB
15. Ensemble technique 1 - Bagging/2. Bagging in R.mp4
69.33 MB
15. Ensemble technique 1 - Bagging/2. Bagging in R.srt
8.16 KB
16. Ensemble technique 2 - Random Forest/1. Random Forest technique.mp4
21.42 MB
16. Ensemble technique 2 - Random Forest/1. Random Forest technique.srt
5.07 KB
16. Ensemble technique 2 - Random Forest/2. Random Forest in R.mp4
37.44 MB
16. Ensemble technique 2 - Random Forest/2. Random Forest in R.srt
5.58 KB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/1. Boosting techniques.mp4
34.37 MB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/1. Boosting techniques.srt
9.58 KB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/2. Gradient Boosting in R.mp4
78.56 MB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/2. Gradient Boosting in R.srt
9.62 KB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/3. AdaBoosting in R.mp4
102.98 MB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/3. AdaBoosting in R.srt
12.24 KB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/4. XGBoosting in R.mp4
186.46 MB
17. Ensemble technique 3 - GBM, AdaBoost and XGBoost/4. XGBoosting in R.srt
21.1 KB
18. Support Vector Machines/1. Introduction to SVM.mp4
21.61 MB
18. Support Vector Machines/1. Introduction to SVM.srt
3.15 KB
18. Support Vector Machines/2. The Concept of a Hyperplane.mp4
35.33 MB
18. Support Vector Machines/2. The Concept of a Hyperplane.srt
6.22 KB
18. Support Vector Machines/3. Maximum Margin Classifier.mp4
26.17 MB
18. Support Vector Machines/3. Maximum Margin Classifier.srt
4.41 KB
18. Support Vector Machines/4. Limitations of Maximum Margin Classifier.mp4
12.52 MB
18. Support Vector Machines/4. Limitations of Maximum Margin Classifier.srt
3.12 KB
19. Support Vector Classifier/1. Support Vector classifiers.mp4
64.12 MB
19. Support Vector Classifier/1. Support Vector classifiers.srt
12.46 KB
19. Support Vector Classifier/2. Limitations of Support Vector Classifiers.mp4
12.98 MB
19. Support Vector Classifier/2. Limitations of Support Vector Classifiers.srt
1.9 KB
2. Setting up R Studio and R crash course/1. Installing R and R studio.mp4
40.78 MB
2. Setting up R Studio and R crash course/1. Installing R and R studio.srt
7.37 KB
2. Setting up R Studio and R crash course/2. This is a milestone!.mp4
20.69 MB
2. Setting up R Studio and R crash course/2. This is a milestone!.srt
3.94 KB
2. Setting up R Studio and R crash course/3. Basics of R and R studio.mp4
47.96 MB
2. Setting up R Studio and R crash course/3. Basics of R and R studio.srt
14.35 KB
2. Setting up R Studio and R crash course/4. Packages in R.mp4
98.48 MB
2. Setting up R Studio and R crash course/4. Packages in R.srt
14.6 KB
2. Setting up R Studio and R crash course/5. Inputting data part 1 Inbuilt datasets of R.mp4
46.14 MB
2. Setting up R Studio and R crash course/5. Inputting data part 1 Inbuilt datasets of R.srt
5.61 KB
2. Setting up R Studio and R crash course/6. Inputting data part 2 Manual data entry.mp4
30.79 MB
2. Setting up R Studio and R crash course/6. Inputting data part 2 Manual data entry.srt
3.68 KB
2. Setting up R Studio and R crash course/7. Inputting data part 3 Importing from CSV or Text files.mp4
68.97 MB
2. Setting up R Studio and R crash course/7. Inputting data part 3 Importing from CSV or Text files.srt
8.38 KB
2. Setting up R Studio and R crash course/7.1 Customer.csv
64.02 KB
2. Setting up R Studio and R crash course/7.2 Product.txt
139.48 KB
2. Setting up R Studio and R crash course/8. Creating Barplots in R.mp4
117.22 MB
2. Setting up R Studio and R crash course/8. Creating Barplots in R.srt
18.34 KB
2. Setting up R Studio and R crash course/9. Creating Histograms in R.mp4
51.34 MB
2. Setting up R Studio and R crash course/9. Creating Histograms in R.srt
7.58 KB
20. Support Vector Machines/1. Kernel Based Support Vector Machines.mp4
45.7 MB
20. Support Vector Machines/1. Kernel Based Support Vector Machines.srt
8.46 KB
20. Support Vector Machines/2. Quiz.html
181 B
21. Creating Support Vector Machine Model in R/1. Course resources Notes and Datasets.html
52 B
21. Creating Support Vector Machine Model in R/1.1 Files_svm_r.zip
1.72 MB
21. Creating Support Vector Machine Model in R/2. Importing and preprocessing data.mp4
24.99 MB
21. Creating Support Vector Machine Model in R/2. Importing and preprocessing data.srt
2.71 KB
21. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4
166.94 MB
21. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.srt
18.39 KB
21. Creating Support Vector Machine Model in R/4. Hyperparameter Tuning for Linear Kernel.mp4
70.44 MB
21. Creating Support Vector Machine Model in R/4. Hyperparameter Tuning for Linear Kernel.srt
7.16 KB
21. Creating Support Vector Machine Model in R/5. Polynomial Kernel with Hyperparameter Tuning.mp4
98.66 MB
21. Creating Support Vector Machine Model in R/5. Polynomial Kernel with Hyperparameter Tuning.srt
11.84 KB
21. Creating Support Vector Machine Model in R/6. Radial Kernel with Hyperparameter Tuning.mp4
67.38 MB
21. Creating Support Vector Machine Model in R/6. Radial Kernel with Hyperparameter Tuning.srt
7.36 KB
21. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4
124.02 MB
21. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.srt
12.7 KB
22. Congratulations & about your certificate/1. The final milestone!.mp4
11.86 MB
22. Congratulations & about your certificate/1. The final milestone!.srt
1.79 KB
22. Congratulations & about your certificate/2. Bonus Lecture.html
2.32 KB
3. Basics of Statistics/1. Types of Data.mp4
21.76 MB
3. Basics of Statistics/1. Types of Data.srt
5.2 KB
3. Basics of Statistics/2. Types of Statistics.mp4
10.94 MB
3. Basics of Statistics/2. Types of Statistics.srt
3.3 KB
3. Basics of Statistics/3. Describing the data graphically.mp4
65.37 MB
3. Basics of Statistics/3. Describing the data graphically.srt
13.22 KB
3. Basics of Statistics/4. Measures of Centers.mp4
38.55 MB
3. Basics of Statistics/4. Measures of Centers.srt
8.08 KB
3. Basics of Statistics/5. Measures of Dispersion.mp4
22.85 MB
3. Basics of Statistics/5. Measures of Dispersion.srt
5.26 KB
4. Intorduction to Machine Learning/1. Introduction to Machine Learning.mp4
123.27 MB
4. Intorduction to Machine Learning/1. Introduction to Machine Learning.srt
19.38 KB
4. Intorduction to Machine Learning/2. Building a Machine Learning Model.mp4
44.92 MB
4. Intorduction to Machine Learning/2. Building a Machine Learning Model.srt
10.22 KB
4. Intorduction to Machine Learning/3. Quiz Introduction to Machine Learning.html
181 B
5. Data Preprocessing for Regression Analysis/1. Gathering Business Knowledge.mp4
14.52 MB
5. Data Preprocessing for Regression Analysis/1. Gathering Business Knowledge.srt
3.8 KB
5. Data Preprocessing for Regression Analysis/10. Missing Value imputation in R.mp4
31.71 MB
5. Data Preprocessing for Regression Analysis/10. Missing Value imputation in R.srt
4.11 KB
5. Data Preprocessing for Regression Analysis/11. Seasonality in Data.mp4
20.78 MB
5. Data Preprocessing for Regression Analysis/11. Seasonality in Data.srt
4.11 KB
5. Data Preprocessing for Regression Analysis/12. Bi-variate Analysis and Variable Transformation.mp4
113.08 MB
5. Data Preprocessing for Regression Analysis/12. Bi-variate Analysis and Variable Transformation.srt
20.2 KB
5. Data Preprocessing for Regression Analysis/13. Variable transformation in R.mp4
67.59 MB
5. Data Preprocessing for Regression Analysis/13. Variable transformation in R.srt
9.32 KB
5. Data Preprocessing for Regression Analysis/14. Non Usable Variables.mp4
23.74 MB
5. Data Preprocessing for Regression Analysis/14. Non Usable Variables.srt
6.27 KB
5. Data Preprocessing for Regression Analysis/15. Dummy variable creation Handling qualitative data.mp4
40.54 MB
5. Data Preprocessing for Regression Analysis/15. Dummy variable creation Handling qualitative data.srt
5.53 KB
5. Data Preprocessing for Regression Analysis/16. Dummy variable creation in R.mp4
52.23 MB
5. Data Preprocessing for Regression Analysis/16. Dummy variable creation in R.srt
6.45 KB
5. Data Preprocessing for Regression Analysis/17. Correlation Matrix and cause-effect relationship.mp4
80.84 MB
5. Data Preprocessing for Regression Analysis/17. Correlation Matrix and cause-effect relationship.srt
11.43 KB
5. Data Preprocessing for Regression Analysis/18. Correlation Matrix in R.mp4
94.95 MB
5. Data Preprocessing for Regression Analysis/18. Correlation Matrix in R.srt
7.18 KB
5. Data Preprocessing for Regression Analysis/19. Quiz.html
181 B
5. Data Preprocessing for Regression Analysis/2. Data Exploration.mp4
20.11 MB
5. Data Preprocessing for Regression Analysis/2. Data Exploration.srt
3.82 KB
5. Data Preprocessing for Regression Analysis/3. The Data and the Data Dictionary.mp4
78.32 MB
5. Data Preprocessing for Regression Analysis/3. The Data and the Data Dictionary.srt
8.47 KB
5. Data Preprocessing for Regression Analysis/4. Importing the dataset into R.mp4
15.94 MB
5. Data Preprocessing for Regression Analysis/4. Importing the dataset into R.srt
2.87 KB
5. Data Preprocessing for Regression Analysis/5. Univariate Analysis and EDD.mp4
27.21 MB
5. Data Preprocessing for Regression Analysis/5. Univariate Analysis and EDD.srt
3.76 KB
5. Data Preprocessing for Regression Analysis/6. EDD in R.mp4
111.99 MB
5. Data Preprocessing for Regression Analysis/6. EDD in R.srt
13.73 KB
5. Data Preprocessing for Regression Analysis/7. Outlier Treatment.mp4
27.29 MB
5. Data Preprocessing for Regression Analysis/7. Outlier Treatment.srt
4.92 KB
5. Data Preprocessing for Regression Analysis/8. Outlier Treatment in R.mp4
37.83 MB
5. Data Preprocessing for Regression Analysis/8. Outlier Treatment in R.srt
4.91 KB
5. Data Preprocessing for Regression Analysis/9. Missing Value imputation.mp4
23.16 MB
5. Data Preprocessing for Regression Analysis/9. Missing Value imputation.srt
4.25 KB
6. Linear Regression Model/1. The problem statement.mp4
10.64 MB
6. Linear Regression Model/1. The problem statement.srt
1.84 KB
6. Linear Regression Model/10. Quiz.html
181 B
6. Linear Regression Model/11. Test-Train split.mp4
48.75 MB
6. Linear Regression Model/11. Test-Train split.srt
12.64 KB
6. Linear Regression Model/12. Bias Variance trade-off.mp4
29.39 MB
6. Linear Regression Model/12. Bias Variance trade-off.srt
8.2 KB
6. Linear Regression Model/13. More about test-train split.html
559 B
6. Linear Regression Model/14. Test-Train Split in R.mp4
90.93 MB
6. Linear Regression Model/14. Test-Train Split in R.srt
9.61 KB
6. Linear Regression Model/15. Assignment 1 Regression Analysis.html
185 B
6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.mp4
49.92 MB
6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.srt
12.66 KB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4
103.88 MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.srt
19.92 KB
6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.mp4
49.52 MB
6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.srt
9.8 KB
6. Linear Regression Model/5. Simple Linear Regression in R.mp4
50.46 MB
6. Linear Regression Model/5. Simple Linear Regression in R.srt
9.55 KB
6. Linear Regression Model/6. Multiple Linear Regression.mp4
38.71 MB
6. Linear Regression Model/6. Multiple Linear Regression.srt
7.38 KB
6. Linear Regression Model/7. The F - statistic.mp4
63.83 MB
6. Linear Regression Model/7. The F - statistic.srt
11.45 KB
6. Linear Regression Model/8. Interpreting result for categorical Variable.mp4
26.95 MB
6. Linear Regression Model/8. Interpreting result for categorical Variable.srt
6.93 KB
6. Linear Regression Model/9. Multiple Linear Regression in R.mp4
72.82 MB
6. Linear Regression Model/9. Multiple Linear Regression in R.srt
9.56 KB
7. Regression models other than OLS/1. Linear models other than OLS.mp4
19.02 MB
7. Regression models other than OLS/1. Linear models other than OLS.srt
5.28 KB
7. Regression models other than OLS/2. Subset Selection techniques.mp4
86.66 MB
7. Regression models other than OLS/2. Subset Selection techniques.srt
15.28 KB
7. Regression models other than OLS/3. Subset selection in R.mp4
76.6 MB
7. Regression models other than OLS/3. Subset selection in R.srt
8.37 KB
7. Regression models other than OLS/4. Shrinkage methods - Ridge Regression and The Lasso.mp4
38.44 MB
7. Regression models other than OLS/4. Shrinkage methods - Ridge Regression and The Lasso.srt
9.41 KB
7. Regression models other than OLS/5. Ridge regression and Lasso in R.mp4
124.02 MB
7. Regression models other than OLS/5. Ridge regression and Lasso in R.srt
13 KB
8. Introduction to the classification Models/1. Three classification models and Data set.mp4
52.31 MB
8. Introduction to the classification Models/1. Three classification models and Data set.srt
6.67 KB
8. Introduction to the classification Models/1.1 Classification preprocessed data R.csv
40.97 KB
8. Introduction to the classification Models/2. Importing the data into R.mp4
8.81 MB
8. Introduction to the classification Models/2. Importing the data into R.srt
1.39 KB
8. Introduction to the classification Models/2.1 Classification preprocessed data R.csv
50.97 KB
8. Introduction to the classification Models/3. The problem statements.mp4
17.08 MB
8. Introduction to the classification Models/3. The problem statements.srt
1.8 KB
8. Introduction to the classification Models/4. Why can't we use Linear Regression.mp4
20.25 MB
8. Introduction to the classification Models/4. Why can't we use Linear Regression.srt
5.69 KB
9. Logistic Regression/1. Logistic Regression.mp4
38.82 MB
9. Logistic Regression/1. Logistic Regression.srt
8.92 KB
9. Logistic Regression/2. Training a Simple Logistic model in R.mp4
31 MB
9. Logistic Regression/2. Training a Simple Logistic model in R.srt
4.31 KB
9. Logistic Regression/3. Results of Simple Logistic Regression.mp4
30.9 MB
9. Logistic Regression/3. Results of Simple Logistic Regression.srt
6.06 KB
9. Logistic Regression/4. Logistic with multiple predictors.mp4
9.95 MB
9. Logistic Regression/4. Logistic with multiple predictors.srt
3.08 KB
9. Logistic Regression/5. Training multiple predictor Logistic model in R.mp4
18.28 MB
9. Logistic Regression/5. Training multiple predictor Logistic model in R.srt
2.08 KB
9. Logistic Regression/6. Confusion Matrix.mp4
26.55 MB
9. Logistic Regression/6. Confusion Matrix.srt
5.17 KB
9. Logistic Regression/7. Evaluating Model performance.mp4
42.52 MB
9. Logistic Regression/7. Evaluating Model performance.srt
9.67 KB
9. Logistic Regression/8. Predicting probabilities, assigning classes and making Confusion Matrix in R.mp4
66.07 MB
9. Logistic Regression/8. Predicting probabilities, assigning classes and making Confusion Matrix in R.srt
7.65 KB
9. Logistic Regression/9. Quiz.html
181 B