Ritesh Takole's Projects
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.
This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.
:books: List of awesome university courses for learning Computer Science!
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
Collection of useful data science topics along with code and articles
Data science interview questions and answers
Repo for the Deep Learning Nanodegree Foundations program.
Deep Learning Specialization
A collection of various deep learning architectures, models, and tips
Compilation of resources and insights that helped me on my journey to data scientist
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
Markdown Cheatsheet for Github Readme.md
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
https://huyenchip.com/ml-interviews-book/
Config files for my GitHub profile.
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Top 200 deep learning Github repositories sorted by the number of stars.