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    Learn Machine Learning Like a GENIUS and Not Waste Time


    Learn Machine Learning Like a GENIUS and Not Waste Time

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    I just started my own Patreon, in case you want to support!
    Patreon Link:
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    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.

    Also Watch:
    All Machine Learning algorithms explained in 17 min
    The Math that make Machine Learning easy (and how you can learn it)
    15 Machine Learning Lessons I Wish I Knew Earlier

    Machine Learning Playlist:

    Git/Github Playlist:

    👇🏻 Links Resources I mention in the Video👇🏻

    === Python ===

    My Python for beginners playlist:

    Other tutorials:
    Official Course:
    W3 schools:
    Uni of Helsinki MOOC:
    Khan Academy:
    Or simply type “Python tutorial” into Google 🙂

    === Math ===

    Stats & Probability:

    Linear Algebra:

    3Blue1brown (neat visuals)

    Calculus:

    3Blue1Brown (amazing visuals!)

    === Data Tools ===
    Jupyter:
    Numpy:
    Pandas:
    Matplotlib:

    === ML Theory ===

    ISL (free PDF)
    ISL Python Playlist:
    Coursera ML introduction:

    === ML tools ===

    SK Learn:
    SK Learn algorithm Cheat Sheet:

    === Neural Networks / Deep Learning ===

    Coursera:
    3Blue1Brown (amazing visuals!)

    Andrej Kaparthy
    Hugging Face NLP course:

    Keras

    === Real Projects ===

    ================== 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

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