Alternatives and similar repositories for Titanic-Machine-Learning

Users that are interested in Titanic-Machine-Learning are comparing it to the libraries listed below

• vmirly / DataScience
  ☆66Updated 2 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 10 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 10 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 11 years ago
• amueller / quick-ml-intro
  One hour interactive training for ML with scikit-learn
  ☆73Updated 8 years ago
• dolaameng / tutorials
  different types of tutorials, such as machine learning, image processing and etc.
  ☆102Updated 9 years ago
• phunterlau / kaggle_higgs
  My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)
  ☆82Updated 11 years ago
• adilmoujahid / Coursera_Analytics
  Source code for blog post: Data Mining Coursera for Popular Courses with Python
  ☆24Updated 10 years ago
• llSourcell / D3_Data_visualization_live
  This is the code for the "Visualizing Data with D3.js" Live stream by @Sirajology on Youtube
  ☆20Updated 9 years ago
• DistrictDataLabs / machine-learning
  Code & Data for Introduction to Machine Learning with Scikit-Learn
  ☆81Updated 7 years ago
• mike-perdide / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆48Updated 14 years ago
• Prooffreader / intro_machine_learning
  Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video
  ☆103Updated 6 years ago
• DistrictDataLabs / blog-files
  Public code files for the DDL blog
  ☆56Updated 7 years ago
• sarguido / k-means-clustering
  Repository for my 'K-Means Clustering with Scikit-Learn' talk materials.
  ☆43Updated 6 years ago
• zygmuntz / kaggle-stackoverflow
  Predicting closed questions on Stack Overflow
  ☆44Updated 7 years ago
• chdoig / dss-scaling-tutorial
  ☆28Updated 9 years ago
• agconti / KaggleAux
  A collection of statistical tools to aid Data Science competitors in Kaggle Competitions.
  ☆63Updated 7 years ago
• danielfrg / copper
  Fast, easy and intuitive machine learning prototyping.
  ☆124Updated 11 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 8 years ago
• bhavika / conf
  Code and presentations used in conferences I attend
  ☆59Updated 6 years ago
• numb3r33 / Kaggle-Competitions
  All Kaggle competitions
  ☆91Updated 9 years ago
• glouppe / tutorials-scikit-learn
  Scikit-Learn tutorials
  ☆131Updated 7 years ago
• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• sjwhitmore / pycon-kaggle-tutorial-2015
  My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.
  ☆23Updated 10 years ago
• amueller / pydata-strata-2015
  Slides and notebooks for PyData Strata San Jose
  ☆50Updated 10 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• zygmuntz / kaggle-blackbox
  Deep learning made easy
  ☆116Updated 11 years ago
• python-recsys / recsys-tutorial
  Recommender Systems in Depth: An introduction to Recommender Systems using Python and Crab
  ☆43Updated 12 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 9 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 11 years ago