# Essentials

1. [open source python library for animation](https://github.com/3b1b/manim)
    
2. linux command to list in tree format : `tree`
    
3. AI and ML RoadMap:
    
    <mark>Maths:</mark>
    
    1. [LinearAlgebra-DiffrentialEquation-Calculus-NeuralNetworks](https://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab&pp=iAQB)
        
    2. [Essentials of Mathematics for ML - IITR](https://youtu.be/JO9jNe6BemE?si=oTkI9a7lE7yESMxC)
        
    3. deep learning
        
        1. Neural networks
            
        2. Backpropagation
            
        3. CNN: convolutional neural network
            
        4. learn how LLM's works. Like how to use OpenAI API etc
            
            also learn about GPT plugins and store
            
            [coursera|andrew NG](https://www.deeplearning.ai/courses/)
            
4. <mark>Python</mark>:
    
    1. [Intro to CS using Python - Ana Bell - MIT26Lectures](https://www.youtube.com/watch?v=xAcTmDO6NTI&list=PLUl4u3cNGP62A-ynp6v6-LGBCzeH3VAQB)
        
    2. [Intro to AI with python - Harvard 08Lectures](https://www.youtube.com/watch?v=gR8QvFmNuLE&list=PLhQjrBD2T381PopUTYtMSstgk-hsTGkVm)
        
    3. [Hands On ML - Aurelien-Geron](https://www.amazon.in/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/9355421982/ref=sr_1_1?crid=SYF30DNXODTZ&dib=eyJ2IjoiMSJ9.lt5rf-bTj6nMywsDrEdE05cGdFQwxgbVnbfAnfV4H1Y9DhjC-uJ6LStk0bCHBBXbMjrcrKmFBz9Y6oebVp9TfhbMbypSia9VoUsmfAGOzmk802LU2XJ_ADsH6gf4FRwN77o_5cxZxxD2-wlIQ5oakA.nw_i5obY-iiuvbsgRRlaWswcwIwMyfZHuBEzukngsOw&dib_tag=se&keywords=handson+machine+learning+with+scikitlearn%2C+ke.+geron&qid=1721735323&sprefix=handson+%2Caps%2C206&sr=8-1)
        
    4. [Pytorch : python framework|freecodecamp](https://www.youtube.com/watch?v=V_xro1bcAuA&pp=ygUHcHl0b3JjaA%3D%3D)
        
5. <mark>Data Analytics and projects</mark>
    
    1. [kaggle-data science community|dataset practice](https://www.kaggle.com/datasets)
        
    2. [Python for data analysis - WesMeckinney](https://wesmckinney.com/book/preface)
        
    3. [Numpy|Pandas|Matplotlib : for data analysis|freecodecamp](https://www.youtube.com/watch?v=r-uOLxNrNk8&pp=ygUjbnVtcHkgYW5kIHBhbmRhcyBmb3IgZGF0YSBhbmFseXNpcyA%3D)
        
    4. [Tech with tim | Flappy bird|Python game project](https://www.youtube.com/watch?v=MMxFDaIOHsE&list=PLzMcBGfZo4-lwGZWXz5Qgta_YNX3_vLS2)
        
    5. certification upload on LinkedIn :