Alternatives and similar repositories for 2018-MachineLearning-Lectures-ESA

Users that are interested in 2018-MachineLearning-Lectures-ESA are comparing it to the libraries listed below

• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 7 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆491Updated 6 years ago
• ahmedbesbes / Neural-Network-from-scratch
  Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
  ☆264Updated 6 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• tirthajyoti / Interactive_Machine_Learning
  IPython widgets, interactive plots, interactive machine learning
  ☆150Updated 6 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆329Updated 2 years ago
• dipanjanS / data_science_for_all
  Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
  ☆212Updated 5 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 7 years ago
• rasbt / msu-datascience-ml-tutorial-2018
  Machine learning with Python tutorial at MSU Data Science 2018
  ☆110Updated 7 years ago
• Apress / mastering-ml-w-python-in-six-steps
  Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
  ☆113Updated 8 years ago
• krasserm / machine-learning-notebooks
  Stanford Machine Learning course exercises implemented with scikit-learn
  ☆348Updated 4 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆270Updated 5 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆157Updated 6 years ago
• lemoz / Cheatsheets
  All the cheat sheets you need as a novice machine learning engineer
  ☆215Updated 7 years ago
• bjpcjp / scikit-and-tensorflow-workbooks
  based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
  ☆316Updated 8 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆310Updated 4 years ago
• the-deep-learners / study-group
  Deep Learning Study Group
  ☆329Updated 4 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆276Updated 7 years ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 7 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆287Updated 8 years ago
• rragundez / PyDataAmsterdam2018
  Contents of the workshop "Hands-on introduction to Deep Learning with Keras and Tensorflow" I gave at PyData Amsterdam 2018
  ☆65Updated 7 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆100Updated 2 years ago
• ardendertat / Applied-Deep-Learning-with-Keras
  Deep Learning examples with Keras.
  ☆302Updated 2 years ago
• llSourcell / kaggle_challenge
  This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube
  ☆121Updated 7 years ago
• albahnsen / PracticalMachineLearningClass
  ☆91Updated 5 years ago
• neerjad / MachineLearning
  A repo with tutorials for algorithms from scratch
  ☆100Updated 7 years ago
• rugantio / MachineLearningCourse
  A collection of notebooks of my Machine Learning class written in python 3
  ☆44Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆126Updated 8 years ago