A curated list of Best Artificial Intelligence Resources

StatQuest with Josh Starmer

Coding the examples from the StatQuest Illustrated Guide to Machine Learning (Python)

Formation Data Science Statquest

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My notes from watching StatQuest https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw

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Coding Neural Networks with PyTorch

This project is based on The StatQuest Illustrated Guide to Neural Networks and AI by Josh Starmer

Pytorch Tutorial via StatQuest

HackerRank's 10 days of statistics

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Some packages might be obsolete (esp. those implemented with Lightning)

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Statistics and Machine Learning Resources from StatQuest (Youtube Channel).

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SBD Course - StatQuest presentation: Understanding P-values (Video: psuRGfAaju4)

SBD Course - StatQuest presentation: Linear Regression Clearly Explained (Video: 7ArmBVF2dCs)

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Statquest search YouTube - https://www.youtube.com/playlist?list=PLblh5JKOoLUICTaGLRoHQDuF_7q2GfuJF

I am going to start an epic journey by brushing up on statistics and machine learning concepts with StatQuest. Every day, I'll watch a video from StatQuest playlist and share it with everyone. BAM!

This repository contains Jupyter notebooks that provide practical examples, exercises, and code implementations based on concepts explained in the StatQuest videos by Josh Starmer.

This repository is based on the tutorial series on Nueral Networks at StatQuest (https://www.youtube.com/watch?v=zxagGtF9MeU&list=PLblh5JKOoLUIxGDQs4LFFD--41Vzf-ME1&index=1)

This repo contains information about optimizers, activation and loss functions used in Deep Learning Models. This is collected from various resources such as Krish Naik, Codebasics and Statquest.

statquest

StatQuest Workshop Website

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StatQuest, as it evolves into something useful.