Alternatives and similar repositories for data_science_and_engineering_ipython_notebooks:

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

• KirkHadley / SectorRotation
  RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ
  ☆24Updated 10 years ago
• glouppe / kaggle-marinexplore
  Code for the Kaggle Marinexplore challenge
  ☆17Updated 11 years ago
• AlexIoannides / lime-interpretable-ml
  An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…
  ☆15Updated 6 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 8 years ago
• jmoy / repec-lda
  Classifying economics articles using Latent Dirichlet Allocation
  ☆8Updated 8 years ago
• burun / BerkeleyX-Apache-Spark-Labs
  ☆19Updated 8 years ago
• ofermend / practical-data-science-with-hadoop-and-spark
  ☆26Updated last year
• frederickayala / session-based-recsys
  Tutorials on session-based recommender systems
  ☆11Updated 7 years ago
• joy13 / RandomForest
  Random Forest Learner to predict stock prices
  ☆12Updated 11 years ago
• KevinLiao159 / TalkingData
  TalkingData AdTracking Fraud Detection Challenge on Kaggle Competition
  ☆13Updated 6 years ago
• zygmuntz / kaggle-amazon
  Amazon access control challenge
  ☆25Updated 10 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 10 years ago
• cacoderquan / Predict-financial-recession
  The major goal of this project is to predict financial re- cession given the frequencies of the top 500 word stems in the reports of fina…
  ☆14Updated 9 years ago
• yrbszhsh / Principles-of-Artificial-Intelligence-Learning-Algorithms
  My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms
  ☆13Updated 5 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• rkirana / kdd2014
  kdd2014PrizeWinner
  ☆13Updated 10 years ago
• criteo-research / tf-tile
  TF-Tile: an efficient sparse representation for real-valued data
  ☆13Updated last year
• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 7 years ago
• songgc / loan-default-prediction
  Loan Default Prediction at Kaggle
  ☆24Updated 10 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 3 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• NikTRSK / Data-Science-and-Machine-Learning-with-Python---Hands-On
  Data Science and Machine Learning with Python - Hands On from Udemy
  ☆14Updated 7 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• PGuti / Uplift
  About uplift modeling
  ☆30Updated 8 years ago
• samuelleach / python-notebooks
  Python notebooks for demonstrating various ideas, APIs, libraries.
  ☆32Updated 7 years ago
• fmfn / data-science-ipython-notebooks
  Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hado…
  ☆12Updated 9 years ago
• mvaz / osqf2015
  ☆25Updated 9 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 6 years ago
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 5 years ago
• PiotrTa / Mining-Massive-Datasets
  Data mining algorithms with Python
  ☆10Updated 5 years ago