Alternatives and similar repositories for sklearn-classification

Users that are interested in sklearn-classification are comparing it to the libraries listed below

• DustinAlandzes / machine-learning-with-python-cookbook-notes
  (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
  ☆288Updated 2 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆330Updated 2 years ago
• hammadshaikhha / Data-Science-and-Machine-Learning-from-Scratch
  Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…
  ☆436Updated 4 years ago
• dformoso / deeplearning-mindmap
  A mindmap summarising Deep Learning concepts.
  ☆1,704Updated 6 years ago
• mrdbourke / your-first-kaggle-submission
  How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
  ☆223Updated last year
• maykulkarni / Machine-Learning-Notebooks
  Machine Learning notebooks for refreshing concepts.
  ☆534Updated 4 years ago
• WillKoehrsen / Machine-Learning-Projects
  Machine Learning Experiments and Work
  ☆654Updated 2 years ago
• edyoda / data-science-complete-tutorial
  For extensive instructor led learning
  ☆1,816Updated 3 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆302Updated 6 years ago
• WillKoehrsen / machine-learning-project-walkthrough
  An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all…
  ☆1,221Updated 2 years ago
• clair513 / Seaborn-Tutorial
  This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their caree…
  ☆195Updated 5 years ago
• madhug-nadig / Machine-Learning-Algorithms-from-Scratch
  Implementing machine learning algorithms from scratch.
  ☆385Updated 4 years ago
• aikho / awesome-feature-engineering
  A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
  ☆596Updated 7 years ago
• juincc0 / python_data_science_and_machine_learning_bootcamp
  Jupyter notebook for Udemy course: Python data science and machine learning bootcamp
  ☆225Updated 8 years ago
• briandalessandro / DataScienceCourse
  This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
  ☆755Updated 4 years ago
• justmarkham / scikit-learn-tips
  50 scikit-learn tips
  ☆1,739Updated 3 years ago
• cmawer / pycon-2017-eda-tutorial
  Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
  ☆237Updated 3 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆161Updated 3 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆787Updated 2 years ago
• krasserm / machine-learning-notebooks
  Stanford Machine Learning course exercises implemented with scikit-learn
  ☆349Updated 4 years ago
• justmarkham / pycon-2018-tutorial
  Using pandas for Better (and Worse) Data Science
  ☆326Updated 6 years ago
• hrnbot / Basic-Mathematics-for-Machine-Learning
  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 Learni…
  ☆710Updated 3 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,804Updated 2 years ago
• SudalaiRajkumar / ML
  Codes related to various ML Hackathons
  ☆212Updated 6 years ago
• StephenElston / ExploringDataWithPython
  Methods of data exploration and visualization using Python.
  ☆144Updated 5 years ago
• kunalj101 / Data-Science-Hacks
  Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to adva…
  ☆417Updated 2 years ago
• firmai / business-machine-learning
  A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employ…
  ☆801Updated last year
• hse-aml / competitive-data-science
  Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
  ☆660Updated 5 years ago
• SSaishruthi / LogisticRegression_Vectorized_Implementation
  ☆183Updated 3 years ago