hrnbot / Basic-Mathematics-for-Machine-LearningLinks
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
☆723Updated 3 years ago
Alternatives and similar repositories for Basic-Mathematics-for-Machine-Learning
Users that are interested in Basic-Mathematics-for-Machine-Learning are comparing it to the libraries listed below
Sorting:
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆987Updated 3 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆823Updated 5 years ago
- Machine Learning notebooks for refreshing concepts.☆546Updated 4 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆792Updated 3 years ago
- (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form☆290Updated 3 years ago
- Neural Network Projects with Python, Published by Packt☆333Updated 8 months ago
- ☆308Updated 3 years ago
- Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.☆153Updated 4 years ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆450Updated last year
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆373Updated 4 years ago
- AI-related tutorials. Access any of them for free → https://towardsai.net/editorial☆1,012Updated last year
- Machine learning and deep learning resources☆556Updated 2 weeks ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆189Updated last year
- Data Science + ML Cheat Sheet collection by me☆84Updated last month
- Exercises and solutions to Stanford CS229 Machine Learning in Python☆211Updated 2 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆556Updated 4 years ago
- VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers☆258Updated 5 years ago
- Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!☆1,322Updated 2 weeks ago
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆154Updated 10 months ago
- Probably the best curated list of data science books in Python☆429Updated 3 months ago
- Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications☆455Updated last year
- Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to adva…☆421Updated 3 years ago
- Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks.…☆215Updated 3 months ago
- A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn☆715Updated 5 years ago
- Machine Learning algorithms implemented in Python from scratch☆170Updated 7 years ago
- 🍧 DataCamp data-science and machine learning courses☆410Updated last year
- this is a collection of books and courses for machine learning.☆355Updated 3 years ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆941Updated 3 years ago
- Cracking the Data Science Interview☆363Updated 6 years ago
- Collection of Artificial Intelligence projects.☆372Updated last year