[DesireCourse.Net] Udemy - Machine Learning Basics Classification models in Python

File Name

Size

1. Introduction/1. Welcome to the course!.mp4

18 MB

1. Introduction/1. Welcome to the course!.vtt

3.3 kB

1. Introduction/1.1 00_Introduction_01_py.pdf.pdf

472 kB

2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4

124 MB

2. Introduction to Machine Learning/1. Introduction to Machine Learning.vtt

16 kB

2. Introduction to Machine Learning/1.1 Lecture_machineLearning.pdf.pdf

992 kB

2. Introduction to Machine Learning/2. Building a Machine Learning model.mp4

45 MB

2. Introduction to Machine Learning/2. Building a Machine Learning model.vtt

8.6 kB

3. Basics of Statistics/1. Types of Data.mp4

26 MB

3. Basics of Statistics/1. Types of Data.vtt

4.3 kB

3. Basics of Statistics/1.1 01_01_Lecture_TypesOfData.pdf.pdf

178 kB

3. Basics of Statistics/2. Types of Statistics.mp4

13 MB

3. Basics of Statistics/2. Types of Statistics.vtt

2.7 kB

3. Basics of Statistics/2.1 01_02_Lecture_TypesOfStatistics.pdf.pdf

172 kB

3. Basics of Statistics/3. Describing data Graphically.mp4

82 MB

3. Basics of Statistics/3. Describing data Graphically.vtt

11 kB

3. Basics of Statistics/3.1 01_03_Lecture_DataSummaryandGraph.pdf.pdf

318 kB

3. Basics of Statistics/4. Measures of Centers.mp4

46 MB

3. Basics of Statistics/4. Measures of Centers.vtt

6.4 kB

3. Basics of Statistics/4.1 01_04_Lecture_Centers.pdf.pdf

313 kB

3. Basics of Statistics/5. Practice Exercise 1.html

354 B

3. Basics of Statistics/5.1 Exercise-1.pdf.pdf

554 kB

3. Basics of Statistics/6. Measures of Dispersion.mp4

28 MB

3. Basics of Statistics/6. Measures of Dispersion.vtt

4.7 kB

3. Basics of Statistics/6.1 01_05_Lecture_Dispersion.pdf.pdf

211 kB

3. Basics of Statistics/7. Practice Exercise 2.html

295 B

3. Basics of Statistics/7.1 Exercise-2.pdf.pdf

470 kB

4. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4

19 MB

4. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.vtt

2.2 kB

4. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4

73 MB

4. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.vtt

8.0 kB

4. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4

51 MB

4. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.vtt

11 kB

4. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp4

16 MB

4. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.vtt

3.5 kB

4. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4

81 MB

4. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.vtt

14 kB

4. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4

74 MB

4. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.vtt

15 kB

4. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4

54 MB

4. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.vtt

9.1 kB

4. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4

56 MB

4. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.vtt

7.2 kB

4. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4

49 MB

4. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.vtt

6.5 kB

5. Data Preprocessing/1. Gathering Business Knowledge.mp4

25 MB

5. Data Preprocessing/1. Gathering Business Knowledge.vtt

3.4 kB

5. Data Preprocessing/1.1 03_01_PDE_Business_knowledge.pdf.pdf

154 kB

5. Data Preprocessing/10. Outlier treatment in Python.mp4

58 MB

5. Data Preprocessing/10. Outlier treatment in Python.vtt

7.0 kB

5. Data Preprocessing/11. Project Exercise 3.html

233 B

5. Data Preprocessing/12. Missing Value Imputation.mp4

28 MB

5. Data Preprocessing/12. Missing Value Imputation.vtt

3.6 kB

5. Data Preprocessing/12.1 04_05_PDE_Missing_value.pdf.pdf

316 kB

5. Data Preprocessing/13. Missing Value Imputation in Python.mp4

28 MB

5. Data Preprocessing/13. Missing Value Imputation in Python.vtt

3.6 kB

5. Data Preprocessing/14. Project Exercise 4.html

238 B

5. Data Preprocessing/15. Seasonality in Data.mp4

21 MB

5. Data Preprocessing/15. Seasonality in Data.vtt

3.3 kB

5. Data Preprocessing/15.1 04_07_PDE_Seasonality.pdf.pdf

364 kB

5. Data Preprocessing/16. Variable Transformation.mp4

15 MB

5. Data Preprocessing/16. Variable Transformation.vtt

1.2 kB

5. Data Preprocessing/16.1 04_07_Variable_Transformation.pdf.pdf

456 kB

5. Data Preprocessing/17. Variable transformation and Deletion in Python.mp4

36 MB

5. Data Preprocessing/17. Variable transformation and Deletion in Python.vtt

3.4 kB

5. Data Preprocessing/18. Project Exercise 5.html

225 B

5. Data Preprocessing/19. Dummy variable creation Handling qualitative data.mp4

41 MB

5. Data Preprocessing/19. Dummy variable creation Handling qualitative data.vtt

4.3 kB

5. Data Preprocessing/19.1 04_11_Dummy_Var.pdf.pdf

163 kB

5. Data Preprocessing/2. Data Exploration.mp4

23 MB

5. Data Preprocessing/2. Data Exploration.vtt

3.2 kB

5. Data Preprocessing/2.1 03_02_PDE_Data_exploration.pdf.pdf

323 kB

5. Data Preprocessing/20. Dummy variable creation in Python.mp4

34 MB

5. Data Preprocessing/20. Dummy variable creation in Python.vtt

4.7 kB

5. Data Preprocessing/21. Project Exercise 6.html

202 B

5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4

88 MB

5. Data Preprocessing/3. The Dataset and the Data Dictionary.vtt

7.5 kB

5. Data Preprocessing/4. Data Import in Python.mp4

26 MB

5. Data Preprocessing/4. Data Import in Python.vtt

3.9 kB

5. Data Preprocessing/5. Project Exercise 1.html

481 B

5. Data Preprocessing/5.1 Movie_collection.csv.csv

56 kB

5. Data Preprocessing/6. Univariate analysis and EDD.mp4

27 MB

5. Data Preprocessing/6. Univariate analysis and EDD.vtt

3.1 kB

5. Data Preprocessing/6.1 03_04_PDE_Univariate_Analysis_Uni.pdf.pdf

333 kB

5. Data Preprocessing/7. EDD in Python.mp4

97 MB

5. Data Preprocessing/7. EDD in Python.vtt

14 kB

5. Data Preprocessing/8. Project Exercise 2.html

177 B

5. Data Preprocessing/9. Outlier Treatment.mp4

28 MB

5. Data Preprocessing/9. Outlier Treatment.vtt

4.0 kB

5. Data Preprocessing/9.1 04_06_PDE_Outlier_Treatment.pdf.pdf

355 kB

6. Classification Models/1. Three Classifiers and the problem statement.mp4

23 MB

6. Classification Models/1. Three Classifiers and the problem statement.vtt

3.3 kB

6. Classification Models/1.1 01_INtro.pdf.pdf

190 kB

6. Classification Models/10. Confusion Matrix.mp4

27 MB

6. Classification Models/10. Confusion Matrix.vtt

3.7 kB

6. Classification Models/10.1 06_Confusion matrix.pdf.pdf

222 kB

6. Classification Models/11. Making Confusion Matrix in Python.mp4

65 MB

6. Classification Models/11. Making Confusion Matrix in Python.vtt

8.8 kB

6. Classification Models/12. Evaluating performance of model.mp4

43 MB

6. Classification Models/12. Evaluating performance of model.vtt

7.5 kB

6. Classification Models/12.1 08_ROC.pdf.pdf

183 kB

6. Classification Models/13. Evaluating model performance in Python.mp4

12 MB

6. Classification Models/13. Evaluating model performance in Python.vtt

2.1 kB

6. Classification Models/14. Project Exercise 9.html

175 B

6. Classification Models/15. Linear Discriminant Analysis.mp4

49 MB

6. Classification Models/15. Linear Discriminant Analysis.vtt

9.7 kB

6. Classification Models/15.1 07_LDA.pdf.pdf

183 kB

6. Classification Models/16. LDA in Python.mp4

14 MB

6. Classification Models/16. LDA in Python.vtt

2.1 kB

6. Classification Models/17. Project Exercise 10.html

165 B

6. Classification Models/18. Test-Train Split.mp4

46 MB

6. Classification Models/18. Test-Train Split.vtt

8.9 kB

6. Classification Models/18.1 10_Test_Train.pdf.pdf

239 kB

6. Classification Models/19. Test-Train Split in Python.mp4

43 MB

6. Classification Models/19. Test-Train Split in Python.vtt

6.1 kB

6. Classification Models/2. Why can't we use Linear Regression.mp4

20 MB

6. Classification Models/2. Why can't we use Linear Regression.vtt

4.5 kB

6. Classification Models/2.1 02_whynot_linear.pdf.pdf

155 kB

6. Classification Models/20. Project Exercise 11.html

207 B

6. Classification Models/21. K-Nearest Neighbors classifier.mp4

84 MB

6. Classification Models/21. K-Nearest Neighbors classifier.vtt

8.3 kB

6. Classification Models/21.1 09_KNN.pdf.pdf

237 kB

6. Classification Models/22. K-Nearest Neighbors in Python Part 1.mp4

46 MB

6. Classification Models/22. K-Nearest Neighbors in Python Part 1.vtt

4.9 kB

6. Classification Models/23. K-Nearest Neighbors in Python Part 2.mp4

52 MB

6. Classification Models/23. K-Nearest Neighbors in Python Part 2.vtt

5.8 kB

6. Classification Models/24. Project Exercise 12.html

174 B

6. Classification Models/25. Understanding the results of classification models.mp4

46 MB

6. Classification Models/25. Understanding the results of classification models.vtt

6.3 kB

6. Classification Models/25.1 11_results.pdf.pdf

171 kB

6. Classification Models/26. Summary of the three models.mp4

25 MB

6. Classification Models/26. Summary of the three models.vtt

4.8 kB

6. Classification Models/26.1 12_steps.pdf.pdf

148 kB

6. Classification Models/27. The Final Exercise!.html

1.8 kB

6. Classification Models/28. Course Conclusion.html

1.0 kB

6. Classification Models/3. Logistic Regression.mp4

39 MB

6. Classification Models/3. Logistic Regression.vtt

7.2 kB

6. Classification Models/3.1 03_logistic.pdf.pdf

353 kB

6. Classification Models/4. Training a Simple Logistic Model in Python.mp4

61 MB

6. Classification Models/4. Training a Simple Logistic Model in Python.vtt

8.6 kB

6. Classification Models/5. Project Exercise 7.html

320 B

6. Classification Models/6. Result of Simple Logistic Regression.mp4

31 MB

6. Classification Models/6. Result of Simple Logistic Regression.vtt

4.8 kB

6. Classification Models/6.1 04_P_value.pdf.pdf

228 kB

6. Classification Models/7. Logistic with multiple predictors.mp4

10 MB

6. Classification Models/7. Logistic with multiple predictors.vtt

2.5 kB

6. Classification Models/7.1 05_Multiple_predictors.pdf.pdf

151 kB

6. Classification Models/8. Training multiple predictor Logistic model in Python.mp4

34 MB

6. Classification Models/8. Training multiple predictor Logistic model in Python.vtt

4.9 kB

6. Classification Models/9. Project Exercise 8.html

306 B

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48 B

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51 B