Alternatives and similar repositories for Andrew-Ng-Coursera-Machine-learning-in-Python

Users that are interested in Andrew-Ng-Coursera-Machine-learning-in-Python are comparing it to the libraries listed below

• dr-mushtaq / Deep-Learning
  This repository offers video-based tutorials on Deep Learning concepts along with practical implementations using Python, TensorFlow, and…
  ☆33Updated this week
• moondra2017 / Python-Stuff
  Python Stuff
  ☆14Updated 6 years ago
• davecom / MazeSolvingGUI
  A simple tkinter GUI for illustrating DFS and BFS.
  ☆11Updated 5 years ago
• dkryadav / python-machine-learning-by-sebastian-raschka-and-vahid-mirjalili-pdf-3rd-edition
  ☆26Updated 5 years ago
• kennethleungty / Logistic-Regression-Assumptions
  Assumptions of Logistic Regression, Clearly Explained
  ☆32Updated 3 years ago
• curiousily / Machine-Learning-from-Scratch
  Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of…
  ☆185Updated 2 years ago
• cbare / data-science-from-scratch
  Examples and hacks inspired by the book Data Science from Scratch by Joel Grus
  ☆28Updated 6 years ago
• ardianumam / compilations
  This repository contains compilation of some chosen topics.
  ☆40Updated 3 years ago
• RyanJTalbot / MSDS
  Master of Science degree in Data Science - University of Colorado Boulder
  ☆61Updated last month
• murilogustineli / linear-algebra
  Python code for the Linear Algebra course by Mike X Cohen
  ☆23Updated 3 years ago
• rohan-paul / Deep-Learning-Paper-Implementation
  From Scratch Implementation of some popular Deep Learning Papers with PyTorch and Tensorflow
  ☆18Updated 2 years ago
• huynguyen250896 / Introduction-to-Applied-Linear-Algebra
  Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares - Stephen Boyd & Lieven Vandenberghe
  ☆12Updated 5 years ago
• gahogg / YouTube-I-mostly-use-colab-now-
  The Repository for all code I use in my Data Science and Machine Learning Tutorials on YouTube
  ☆75Updated 3 years ago
• KeithGalli / pycon2020
  Natural Language Processing (NLP) in Python tutorial given for PyCon 2020 remote conference.
  ☆130Updated 3 years ago
• dbclinton / jupyter_data
  Jupyter notebooks
  ☆114Updated 4 years ago
• Strata-Scratch / api-youtube
  Working with Youtube's API to collect video statistics from a channel
  ☆51Updated 4 years ago
• patrickloeber / tensorflow-course
  Tensorflow Beginner Course from my YouTube channel
  ☆121Updated 2 years ago
• mirkorodriguez / COURSERA_Advanced-Machine-Learning-with-TensorFlow-on-GCP-Specialization
  Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization offered by Google Cloud Team
  ☆18Updated 6 years ago
• rashida048 / Datasets
  ☆124Updated last year
• Pitsillides91 / Python-Tutorials
  ☆236Updated last year
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆150Updated 8 months ago
• PacktWorkshops / The-Computer-Vision-Workshop
  ☆40Updated 2 weeks ago
• PacktWorkshops / The-Data-Analysis-Workshop
  A New Interactive Approach to Learning Data Analysis
  ☆74Updated 2 weeks ago
• renanmouraf / data-science-house-prices
  Data Science Project: House Prices
  ☆23Updated 4 years ago
• koaning / calm-notebooks
  notebooks that are used at calmcode.io
  ☆326Updated 4 years ago
• MonicaGS / Machine-Learning-A-Z
  Machine learning A-Z course from Udemy
  ☆42Updated 7 years ago
• arapfaik / scraping-glassdoor-selenium
  Jupyter Notebook from Selenium Tutorial: Scraping Glassdoor.com"
  ☆98Updated 2 years ago
• Tariqueakhtar / Machine-Learning
  ☆11Updated last year
• AssemblyAI-Community / ml-fastapi-docker-heroku
  Deploy ML models with FastAPI, Docker, and Heroku
  ☆87Updated 3 years ago
• codebasics / math-for-machine-learning
  Statistics and math for machine learning and data science
  ☆127Updated last year