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: courses

1.Python tutorial for beginners
https://youtube.com/playlist?list=PLZPZq0r_RZOOkUQbat8LyQii36cJf2SWT

2.Python Tutorial - Python Full Course for Beginners
https://youtu.be/_uQrJ0TkZlc

Coursera online courses
3.
https://www.coursera.org/learn/python-data-analysis

4. Courses by satr
Python 101:
https://satr.codes/courses/rRUQyVDkwQ/view
Python 102:
https://satr.codes/courses/VIvMvhyCiV/view
Python 103:
https://satr.codes/courses/MvNhowmHeB/view
Python 104:
https://satr.codes/courses/BDtmFNpFMp/view

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Numpy

1- https://youtu.be/QUT1VHiLmmI

2- https://youtu.be/Offeoe7ZZ-A

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Pands

1 - https://youtu.be/vmEHCJofslg

2- https://www.youtube.com/watch?v=rkGtNC4yMR4&list=PLuRv1IekA3YVwzaWa2Kp7bgIVcJsJ5XGW&pp=iAQB

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Complete Python Pandas Data Science Tutorial! (Reading CSV/Excel files, Sorting, Filtering, Groupby)

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Book

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Book

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Python Artificial Intelligence Projects for Beginners_ Get up and running with Artificial Intelligence using 8 smart and exciting AI applications ( PDFDrive )

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matplotlib

1- https://youtu.be/3Xc3CA655Y4
2- https://www.youtube.com/watch?v=9pot3wR0UKY&list=PLuRv1IekA3YUdhJNrsn-nK71yvTc45OlW&pp=iAQB

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Week 1:ML Overview

ML introduction
https://youtu.be/olFxW7kdtP8
https://youtu.be/nKW8Ndu7Mjw

Real life application
https://youtu.be/HKcO3-6TYr0

ML terms
https://youtu.be/ApNgG-w3UXI

Evaluation metrics:
https://youtu.be/LbX4X71-TFI

Data split
https://youtu.be/-KYiefj2wuw

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Week 2: Linear Regression
LR Idea

https://youtu.be/dLc-lfEEYss
https://youtu.be/KWULpBYzIYk

LR With Python
https://youtu.be/4t1G8c3t9U4

Multiply LR
https://youtu.be/wH_ezgftiy0

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Week 3:Classification
https://youtu.be/DAFljjxmyZw

Logistic Regression
https://youtu.be/XnOAdxOWXWg

KNN
https://youtu.be/4HKqjENq9OU

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Week 4:
Naive Bayes
https://youtu.be/l3dZ6ZNFjo0

Decision Tree
https://youtu.be/JcI5E2Ng6r4
https://youtu.be/7eh4d6sabA0

Random Forest
https://youtu.be/eM4uJ6XGnSM

Extra Sources:
All Classification algorithms
https://youtu.be/xG-E--Ak5jg
Book
https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf