AssemblyAI-Community / ML-Study-Guide
Minimal Machine Learning Study Plan
☆1,844Updated 3 months ago
Related projects: ⓘ
- A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.☆553Updated last year
- This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube☆858Updated 10 months ago
- Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Pro…☆3,445Updated last month
- ☆1,293Updated last month
- Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes☆411Updated last year
- This repo is to add pages on various career paths and roadmaps such as data scientist, software engineer etc.☆688Updated 2 years ago
- Train and Deploy an ML REST API to predict crypto prices, in 10 steps☆724Updated 3 months ago
- https://github.com/tirthajyoti/Papers-Literature-ML-DL-RL-AI/blob/master/General-Machine-Learning/The%20Hundred-Page%20Machine%20Learning…☆76Updated 5 years ago
- Resoruce to help you to prepare for your comming data science interviews☆956Updated 3 months ago
- Practical machine learning notebook & articles covers the machine learning end to end life cycle.☆915Updated 9 months ago
- A roadmap for getting started with Machine Learning☆353Updated 3 weeks ago
- A curated list of Best Artificial Intelligence Resources☆938Updated 2 weeks ago
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,516Updated last month
- Implementation of popular ML algorithms from scratch☆680Updated 8 months ago
- ML001 Sources Code and Learning Materials☆486Updated 11 months ago
- Implementations in python of methods and programming assignments of course Machine Learning of Coursera by Andrew Ng☆268Updated 4 years ago
- 2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments☆232Updated last year
- Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization wh…☆298Updated last year
- Notebooks from the Machine Learning Specialization☆224Updated last year
- Teaching materials for the applied machine learning course at Cornell Tech (online edition)☆871Updated last year
- A collection of the most important Github repos for ML, AI & Data science practitioners☆655Updated last week
- A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months☆772Updated 3 weeks ago
- Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science☆3,338Updated last week
- This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.☆51Updated last year
- Full Notes of Andrew Ng's Coursera Machine Learning.☆169Updated 3 years ago
- Jupyter Notebooks of the Andrew Ng's Machine Learning Specialization.☆8Updated 2 years ago
- Data Science Roadmap from A to Z☆3,221Updated 2 weeks ago
- The fast.ai course notebooks☆2,399Updated last month
- Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative A…☆454Updated 9 months ago
- Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Adv…☆201Updated 9 months ago