Alternatives and similar repositories for Data-Structures-and-Algorithms-Specialization

Users that are interested in Data-Structures-and-Algorithms-Specialization are comparing it to the libraries listed below

• ryancheunggit / Mining_Of_Massive_Datasets
  Sketch code along the reading of Mining Massive Datasets
  ☆14Updated 10 years ago
• alzmcr / allstate
  Kaggle's Allstate Purchase Prediction Challenge
  ☆89Updated 8 years ago
• pyduan / amazonaccess
  Amazon Employee Access Challenge
  ☆207Updated 12 years ago
• 1094401996 / machine-learning-coursera
  Lecture notes and assignments for coursera machine learning class
  ☆96Updated 12 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆165Updated 10 years ago
• ChuntaoLu / Algorithms-Design-and-Analysis
  Algorithms I learned from Stanford's Algorithms: Design and Analysis
  ☆78Updated 5 years ago
• PacktPublishing / Large-Scale-Machine-Learning-With-Python
  Code repository for Large Scale Machine Learning with Python, published by Packt
  ☆90Updated 3 years ago
• FindBoat / Kaggle
  Codes for several practice contests in Kaggle
  ☆85Updated 10 years ago
• turi-code / how-to
  How-To code samples for working with GraphLab Create.
  ☆207Updated 9 years ago
• mike-perdide / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆49Updated 14 years ago
• intfloat / coursera
  related materials for coursera & edx MOOCs, will no longer update.
  ☆64Updated 9 years ago
• rieder91 / MachineLearning
  Exercises for the Stanford/Coursera Machine Learning Class
  ☆248Updated 13 years ago
• dwf / glmnet-python
  Wrappers of Jerome Friedman's coordinate-descent Fortran implementation of lasso/elastic net regression from the R "glmnet" package.
  ☆33Updated 15 years ago
• PacktPublishing / Practical-Reinforcement-Learning
  Practical​ Reinforcement Learning, published by Packt
  ☆25Updated 3 years ago
• mikemyl / algorithms-stanford
  This repo holds my solutions (in python) for the programming assignments of the Coursera course Algorithms - Design and Analysis (Stanfor…
  ☆58Updated 5 years ago
• jakevdp / sklearn_pycon2013
  Files for my scikit-learn tutorial at PyCon 2013
  ☆168Updated 9 years ago
• mazefeng / ml
  Implementations of classic Machine Learning algorithms
  ☆190Updated 5 years ago
• jasebell / mlbook
  Example code for the Wiley book "Machine Learning - Hands On for Developers and Technical Professionals"
  ☆70Updated 11 years ago
• dnc1994 / MachineLearning-UW
  Solutions for Machine Learning Specialization MOOC offered by University of Washington.
  ☆16Updated 8 years ago
• agconti / KaggleAux
  A collection of statistical tools to aid Data Science competitors in Kaggle Competitions.
  ☆63Updated 8 years ago
• dougmcilwraith / aiw-second-edition
  Code required for the examples in Algorithms of the Intelligent Web, 2nd Edition
  ☆27Updated 4 years ago
• phunterlau / kaggle_higgs
  My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)
  ☆82Updated 11 years ago
• Speedml / notebooks
  Speedml Python Notebooks
  ☆130Updated 8 years ago
• gmonce / scikit-learn-book
  Source code for the "Learning scikit-learn: Machine Learning in Python"
  ☆396Updated 6 years ago
• ajtulloch / Elements-of-Statistical-Learning
  Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)
  ☆292Updated 12 years ago
• zygmuntz / kaggle-advertised-salaries
  Predicting job salaries from ads - a Kaggle competition
  ☆55Updated 11 years ago
• ReactiveCJ / BayesianLearning
  Bayesian Machine Learning
  ☆209Updated 3 years ago
• wepe / tgboost
  Tiny Gradient Boosting Tree
  ☆322Updated 6 years ago
• MLWave / kaggle-criteo
  Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge
  ☆97Updated 11 years ago
• cheng-li / pyramid
  Open source Machine Learning library written in Java
  ☆189Updated 3 years ago