MillionIntegrals / ESL

Related projects ⓘ

Alternatives and complementary repositories for ESL

• littlezz / ESL-Model
  Algorithm from The Elements of Statistical Learning book implement by Python 3 code
  ☆19Updated 8 years ago
• KirkHadley / SectorRotation
  RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ
  ☆23Updated 10 years ago
• glouppe / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆15Updated 7 years ago
• nanjunxiao / tag_doc_with_lda
  tag doc using topN words with lda
  ☆10Updated 9 years ago
• joy13 / RandomForest
  Random Forest Learner to predict stock prices
  ☆11Updated 10 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 9 years ago
• ChenglongChen / Kaggle_The_Hunt_for_Prohibited_Content
  4th Place Solution for The Hunt for Prohibited Content Competition on Kaggle (http://www.kaggle.com/c/avito-prohibited-content)
  ☆29Updated 10 years ago
• weaponsjtu / Kaggle_xBle
  A Swiss Army Knife for Machine Learning Practice, cross validation, model selection, ensemble selection, stacking
  ☆16Updated 8 years ago
• MKLab-ITI / news-popularity-prediction
  A set of methods that predict the future values of popularity indices for news posts using a variety of features.
  ☆33Updated 6 years ago
• MasazI / stock_reinforcementlearning_tensorflow
  an implementation of reinforcement learning problem, stock prices
  ☆10Updated 7 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• mdeff / python_tour_of_data_science
  A Python Tour of Data Science
  ☆29Updated 6 years ago
• phdata / exploring-mllib-post
  Source code for exploring MLlib blog post
  ☆11Updated 9 years ago
• zygmuntz / the-secret-of-the-big-guys
  k-means + a linear model = good results
  ☆55Updated 10 years ago
• Jianbo-Lab / deep-learning-project
  ☆8Updated 7 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 6 years ago
• MLWave / normalized-compression-neighbors
  Document or binary file vectorization with Normalized Compression Distance in Python.
  ☆16Updated 9 years ago
• dselivanov / word_embeddings
  Experiments on english wikipedia. GloVe and word2vec.
  ☆13Updated 8 years ago
• glouppe / kaggle-marinexplore
  Code for the Kaggle Marinexplore challenge
  ☆17Updated 11 years ago
• fducau / ML2016_EDU
  ☆12Updated 7 years ago
• dmcgarry / Default_Loan_Prediction
  Code for Kaggle's Default Loan Prediction - Imperial College London challenge.
  ☆29Updated 10 years ago
• zygmuntz / kaggle-advertised-salaries
  Predicting job salaries from ads - a Kaggle competition
  ☆55Updated 10 years ago
• peterwilliams97 / nlp-class
  Notes from Stanford NLP class
  ☆24Updated 11 years ago
• phunterlau / kaggle_higgs
  My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)
  ☆81Updated 10 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 9 years ago
• zygmuntz / kaggle-amazon
  Amazon access control challenge
  ☆25Updated 10 years ago
• glorotxa / DeepANN
  Theano based deep ANN learning code
  ☆38Updated 14 years ago
• tdhopper / smo-svm
  A derivation of the Sequential Minimal Optimization Algorithm for Support Vector Machines
  ☆11Updated 9 months ago
• lbkchen / deep-learning
  Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to p…
  ☆36Updated 8 years ago