Download Udemy - Machine learning in Python with Google Colab Torrent

Torrent Contents Size: 1.2 GB

Udemy - Machine learning in Python with Google Colab

Bonus Resources.txt

TXT

102.4 B

Get Bonus Downloads Here.url

URL

204.8 B

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1 - Introduction

1. Run an Example Python Code in Google Colab.mp4

MP4

15.2 MB

2 - Data Handling with Pandas in Python

10. Basic Tasks After Opening Data in Python (Description).html

HTML

921.6 B

10. Basic Tasks After Opening Data in Python.mp4

MP4

68.4 MB

3 - Data Visualization in Python

11. Box Plot for Continuous Data Do Not Just Run the Code Learn It (Description).html

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1 KB

11. Box Plot for Continuous Data Do Not Just Run the Code Learn It.mp4

MP4

11.5 MB

11. BoxPlot.txt

TXT

1.3 KB

12. Variables for Boxplot in Python (Description).html

HTML

819.2 B

12. Variables for Boxplot in Python.mp4

MP4

66.8 MB

13. Python Code for Boxplot (Description).html

HTML

819.2 B

13. Python Code for Boxplot.mp4

MP4

38.8 MB

14. Boxplot Formatting in Python (Description).html

HTML

819.2 B

14. Boxplot Formatting in Python.mp4

MP4

55.3 MB

15. Set Axis and Legend Labels for Boxplot (Description).html

HTML

819.2 B

15. Set Axis and Legend Labels for Boxplot.mp4

MP4

96.3 MB

4 - Data summary descriptive and inferential statistic

16. Descrip_Univar_Bivar.txt

TXT

1.6 KB

16. Variable Preparation for Descriptive Summary (Description).html

HTML

921.6 B

16. Variable Preparation for Descriptive Summary.mp4

MP4

64.5 MB

17. Univariate Analysis in Python (Description).html

HTML

819.2 B

17. Univariate Analysis in Python.mp4

MP4

50.1 MB

18. Bivariate Analysis in Python (Description).html

HTML

819.2 B

18. Bivariate Analysis in Python.mp4

MP4

49.1 MB

5 - Data Management for Machine Learning in Python

19. ML_data Managemnt.txt

TXT

1.6 KB

19. Python Libraries for Machine Learning Dtata management (Description).html

HTML

819.2 B

19. Python Libraries for Machine Learning Dtata management.mp4

MP4

42.5 MB

20. Define Class and Feature Variables in Python for machine learning (Description).html

HTML

819.2 B

20. Define Class and Feature Variables in Python for machine learning.mp4

MP4

77.6 MB

21. Drop Missing Values (Description).html

HTML

716.8 B

21. Drop Missing Values.mp4

MP4

48.4 MB

22. Prepare the Class and Features (Description).html

HTML

716.8 B

22. Prepare the Class and Features.mp4

MP4

17.8 MB

23. Create Training and Testing Data (Description).html

HTML

716.8 B

23. Create Training and Testing Data.mp4

MP4

21.7 MB

24. Data Preprocessing in Python (Description).html

HTML

819.2 B

24. Data Preprocessing in Python.mp4

MP4

48 MB

6 - Classification Models in Python - LR, DT, KNN, SVM, RF

25. Classification Models in Python.txt	TXT	3.5 KB
25. Libraries for Classification Models in Python (Description).html	HTML	819.2 B
25. Libraries for Classification Models in Python.mp4	MP4	18.5 MB
26. Logistic Regression Classifier in Python (Description).html	HTML	819.2 B
26. Logistic Regression Classifier in Python.mp4	MP4	50.5 MB
27. Random Forest Classifier in Python (Description).html	HTML	921.6 B
27. Random Forest Classifier in Python.mp4	MP4	35.1 MB
28. Build Multiple Classification Models in Python (Description).html	HTML	921.6 B
28. Build Multiple Classification Models in Python.mp4	MP4	59.1 MB

7. Data_read_code.txt

TXT

204.8 B

7. Open a Dataset from a Folder from PC (Description).html

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819.2 B

7. Open a Dataset from a Folder from PC.mp4

MP4

83.6 MB

7. data_new.csv

CSV

240 KB

7. my_data.xlsx

XLSX

313.9 KB

8. Connect Google Drive for Importing Data from Google Drive (Description).html

HTML

921.6 B

8. Connect Google Drive for Importing Data from Google Drive.mp4

MP4

25.4 MB

8. Data_from_google_drive.txt

TXT

307.2 B

9. Import Data into Colab from Google Drive (Description).html

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921.6 B

9. Import Data into Colab from Google Drive.mp4

MP4

75 MB

2. Open Google Colab and Run Your First Python Command (Description).html

HTML

921.6 B

2. Open Google Colab and Run Your First Python Command.mp4

MP4

29.9 MB

3. Reopen Google Colab and Continue Your Notebook (Description).html

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921.6 B

3. Reopen Google Colab and Continue Your Notebook.mp4

MP4

13.5 MB

4. Add Headings and Subheadings Using Text Cells (Description).html

HTML

921.6 B

4. Add Headings and Subheadings Using Text Cells.mp4

MP4

8.2 MB

5. Variables and Data Types in Python.mp4

MP4

40.3 MB

6. Download Course Data and Code Files.mp4

MP4

7.3 MB

Description

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Udemy - Machine learning in Python with Google Colab

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