Alternatives and similar repositories for notebooks:

Users that are interested in notebooks are comparing it to the libraries listed below

• Speedml / speedml
  Speedml is a Python package to speed start machine learning projects.
  ☆211Updated 5 years ago
• natbusa / deepcredit
  How to predict credit defaulting?
  ☆94Updated 5 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 10 years ago
• tdeboissiere / Kaggle
  Code for Kaggle Competitions
  ☆128Updated 8 years ago
• gabrielspmoreira / static_resources
  ☆77Updated 8 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆515Updated 6 years ago
• aikinogard / 5th_place_solution_facebook_check_ins
  My solution rank 5th/1212 in Facebook check ins prediction competition at Kaggle
  ☆44Updated 8 years ago
• kaz-Anova / ensemble_amazon
  Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle c…
  ☆222Updated 8 years ago
• alexeygrigorev / outbrain-click-prediction-kaggle
  Solution to the Outbrain Click Prediction competition
  ☆146Updated 7 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆158Updated 5 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 6 years ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆302Updated 6 years ago
• gmonce / scikit-learn-book
  Source code for the "Learning scikit-learn: Machine Learning in Python"
  ☆394Updated 5 years ago
• EthanRosenthal / DataPiques_source
  **deprecated**
  ☆53Updated 6 years ago
• ttvand / Santander-Product-Recommendation
  2nd Place Solution of the Kaggle Competition - Santander Product Recommendation
  ☆174Updated 2 years ago
• laurenshareshian / home_price_estimator
  Uses Zillow metadata, NLP on realtor description, and VGG16 on home images to predict home sale prices in Portland from 6/16 - 7/17.
  ☆63Updated 7 years ago
• kevindewalt / ai-notebooks
  ☆63Updated 6 years ago
• ChenglongChen / kaggle-HomeDepot
  3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
  ☆466Updated 6 years ago
• alno / kaggle-allstate-claims-severity
  2nd place solution for Allstate Claims Severity competition at Kaggle
  ☆131Updated 8 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆218Updated 8 years ago
• cstorm125 / sophia
  Neural networks from scratch
  ☆108Updated 4 years ago
• teezeit / tuning_xgboost
  Using consecutive (greedy) gridsearch with cross validation to tune xgboost hyperparameters in python.
  ☆91Updated 8 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 8 years ago
• patrick201 / information_value
  ☆101Updated 8 years ago
• pyduan / amazonaccess
  Amazon Employee Access Challenge
  ☆207Updated 11 years ago
• pratos / flask_api
  Creating a Machine Learning API using Flask - Repository for AV Article
  ☆191Updated 5 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• dnkirill / allstate_capstone
  Allstate Kaggle Competition ML Capstone Project
  ☆80Updated 8 years ago
• vsmolyakov / experiments_with_python
  experiments with python
  ☆378Updated 7 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆79Updated 7 years ago