Learn Machine Learning Like a GENIUS and Not Waste Time
Learn Machine Learning Like a GENIUS and Not Waste Time
You won’t learn Machine Learning in 3 months. I don’t know how long it will take you but here I am sharing everything I know to get you started and make it as fast as possible.
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👇🏻 Links Resources I mention in the Video👇🏻
=== Python ===
My Python for beginners playlist: • Python Tutorials for Beginners
Other tutorials:
Official Course: https://docs.python.org/3/tutorial/in...
W3 schools: https://www.w3schools.com/python/
Uni of Helsinki MOOC: https://programming-24.mooc.fi/
Khan Academy: https://www.khanacademy.org/computing...
Or simply type “Python tutorial” into Google :-)
=== Math ===
Stats & Probability:
https://www.khanacademy.org/math/stat...
https://www.edx.org/learn/probability...
Linear Algebra:
https://www.khanacademy.org/math/line...
https://www.edx.org/learn/linear-alge...
3Blue1brown (neat visuals) • Vectors | Chapter 1, Essence of linea...
Calculus:
https://www.khanacademy.org/math/diff...
3Blue1Brown (amazing visuals!) • The essence of calculus
=== Data Tools ===
Jupyter: https://jupyter.org/
Numpy: https://numpy.org/doc/stable/user/qui...
Pandas: https://pandas.pydata.org/docs/user_g...
Matplotlib: https://matplotlib.org/stable/tutoria...
=== ML Theory ===
ISL (free PDF) https://www.statlearning.com/
ISL Python Playlist: • Statistical Learning with Python
Coursera ML introduction: https://www.coursera.org/specializati...
=== ML tools ===
SK Learn: https://scikit-learn.org/stable/tutor...
SK Learn algorithm Cheat Sheet: https://scikit-learn.org/stable/tutor...
=== Neural Networks / Deep Learning ===
Coursera: https://www.coursera.org/specializati...
3Blue1Brown (amazing visuals!) • But what is a neural network? | Deep ...
Andrej Kaparthy • Neural Networks: Zero to Hero
Hugging Face NLP course: https://huggingface.co/learn/nlp-cour...
Keras https://keras.io/getting_started/
=== Real Projects ===
https://www.kaggle.com/
https://github.com/
================== Timestamps ================
00:00 - Intro
00:40 - Why learn Machine Learning & Data Science
01:11 - How to learn?
03:25 - Where to start? (Jupyter, Python, Pandas)
05:25 - Your first Data Analysis Project
06:32 - Essential Math for Machine Learning (Stats, Linear Algebra, Calculus)
08:53 - The Core Machine Learning Concepts & Algorithms (From Regression to Deep Learning)
10:16 - Scikit Learn
11:37 - Your first Machine Learning Project
13:24 - Collaborate & Share
13:59 - Advanced Topics
14:22 - Do’s and Don'ts