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Udemy - Machine learning in Python with Google Colab

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Udemy - Machine learning in Python with Google Colab (Size: 1.2 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction
  1. Run an Example Python Code in Google Colab.mp4 15.2 MB
  2 - Data Handling with Pandas in Python
  10. Basic Tasks After Opening Data in Python (Description).html 921.6 B
  10. Basic Tasks After Opening Data in Python.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 1 KB
  11. Box Plot for Continuous Data Do Not Just Run the Code Learn It.mp4 11.5 MB
  11. BoxPlot.txt 1.3 KB
  12. Variables for Boxplot in Python (Description).html 819.2 B
  12. Variables for Boxplot in Python.mp4 66.8 MB
  13. Python Code for Boxplot (Description).html 819.2 B
  13. Python Code for Boxplot.mp4 38.8 MB
  14. Boxplot Formatting in Python (Description).html 819.2 B
  14. Boxplot Formatting in Python.mp4 55.3 MB
  15. Set Axis and Legend Labels for Boxplot (Description).html 819.2 B
  15. Set Axis and Legend Labels for Boxplot.mp4 96.3 MB
  4 - Data summary descriptive and inferential statistic
  16. Descrip_Univar_Bivar.txt 1.6 KB
  16. Variable Preparation for Descriptive Summary (Description).html 921.6 B
  16. Variable Preparation for Descriptive Summary.mp4 64.5 MB
  17. Univariate Analysis in Python (Description).html 819.2 B
  17. Univariate Analysis in Python.mp4 50.1 MB
  18. Bivariate Analysis in Python (Description).html 819.2 B
  18. Bivariate Analysis in Python.mp4 49.1 MB
  5 - Data Management for Machine Learning in Python
  19. ML_data Managemnt.txt 1.6 KB
  19. Python Libraries for Machine Learning Dtata management (Description).html 819.2 B
  19. Python Libraries for Machine Learning Dtata management.mp4 42.5 MB
  20. Define Class and Feature Variables in Python for machine learning (Description).html 819.2 B
  20. Define Class and Feature Variables in Python for machine learning.mp4 77.6 MB
  21. Drop Missing Values (Description).html 716.8 B
  21. Drop Missing Values.mp4 48.4 MB
  22. Prepare the Class and Features (Description).html 716.8 B
  22. Prepare the Class and Features.mp4 17.8 MB
  23. Create Training and Testing Data (Description).html 716.8 B
  23. Create Training and Testing Data.mp4 21.7 MB
  24. Data Preprocessing in Python (Description).html 819.2 B
  24. Data Preprocessing in Python.mp4 48 MB
  6 - Classification Models in Python - LR, DT, KNN, SVM, RF
  25. Classification Models in Python.txt 3.5 KB
  25. Libraries for Classification Models in Python (Description).html 819.2 B
  25. Libraries for Classification Models in Python.mp4 18.5 MB
  26. Logistic Regression Classifier in Python (Description).html 819.2 B
  26. Logistic Regression Classifier in Python.mp4 50.5 MB
  27. Random Forest Classifier in Python (Description).html 921.6 B
  27. Random Forest Classifier in Python.mp4 35.1 MB
  28. Build Multiple Classification Models in Python (Description).html 921.6 B
  28. Build Multiple Classification Models in Python.mp4 59.1 MB
  7. Data_read_code.txt 204.8 B
  7. Open a Dataset from a Folder from PC (Description).html 819.2 B
  7. Open a Dataset from a Folder from PC.mp4 83.6 MB
  7. data_new.csv 240 KB
  7. my_data.xlsx 313.9 KB
  8. Connect Google Drive for Importing Data from Google Drive (Description).html 921.6 B
  8. Connect Google Drive for Importing Data from Google Drive.mp4 25.4 MB
  8. Data_from_google_drive.txt 307.2 B
  9. Import Data into Colab from Google Drive (Description).html 921.6 B
  9. Import Data into Colab from Google Drive.mp4 75 MB
  2. Open Google Colab and Run Your First Python Command (Description).html 921.6 B
  2. Open Google Colab and Run Your First Python Command.mp4 29.9 MB
  3. Reopen Google Colab and Continue Your Notebook (Description).html 921.6 B
  3. Reopen Google Colab and Continue Your Notebook.mp4 13.5 MB
  4. Add Headings and Subheadings Using Text Cells (Description).html 921.6 B
  4. Add Headings and Subheadings Using Text Cells.mp4 8.2 MB
  5. Variables and Data Types in Python.mp4 40.3 MB
  6. Download Course Data and Code Files.mp4 7.3 MB

Description


Machine learning in Python with Google Colab
https://WebToolTip.com
Published 5/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 1h 56m | Size: 1.19 GB
Machine Learning with Statistical Analysis and Data Visualization in Python using Google Colab
What you'll learn

Prepare, clean, and explore datasets for machine learning

Learn Python basics for machine learning using Google Colab

Build practical machine learning models step by step in Python

Evaluate model performance using accuracy, confusion matrix, and other metrics
Requirements

Basic computer knowledge is enough. No previous machine learning experience is required.

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