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[ DevCourseWeb com ] Udemy - Prerequisites to Machine Learning - A Beginners Guide
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Get Bonus Downloads Here.url (Size: 483.58 MB) (Files: 43)
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1. Introduction
1. Course Overview.mp4
1. Course Overview.srt
2. Meet Your Instructor.html
3. Introduction to Machine Learning.mp4
3. Introduction to Machine Learning.srt
4. Google Colab Notebook.mp4
4. Google Colab Notebook.srt
4.1 First_Program (1).ipynb
2. Python for Machine Learning
1. Print Statement and Variables.mp4
1. Print Statement and Variables.srt
1.1 Print_Variables.ipynb
2. Functions.mp4
2. Functions.srt
2.1 functions.ipynb
3. Range, Lists and Tuples.mp4
3. Range, Lists and Tuples.srt
3.1 Range_Lists_Tuples.ipynb
4. Importing Modules.mp4
4. Importing Modules.srt
4.1 Modules.ipynb
3. Packages and Statistics for Machine Learning
1. NumPy.mp4
1. NumPy.srt
1.1 NumPy.ipynb
2. Pandas.mp4
2. Pandas.srt
2.1 Pandas.ipynb
3. Read CSV File.mp4
3. Read CSV File.srt
3.1 covid.csv
3.2 read_csv.ipynb
4. Matplotlib.mp4
4. Matplotlib.srt
5. Matplotlib Continue....mp4
5. Matplotlib Continue....srt
5.1 matplotlib.ipynb
6. Mean, Median and Mode.mp4
6. Mean, Median and Mode.srt
6.1 Mean_Median_Mode.ipynb
7. Variance and Standard Deviation.mp4
7. Variance and Standard Deviation.srt
7.1 Variance_Standard_Deviation.ipynb
Bonus Resources.txt
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