Alternatives and similar repositories for logistic_regression_from_scratch

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

• lazyprogrammer / data-science-blogs
  A curated list of data science blogs
  ☆100Updated 7 years ago
• AileenNielsen / PyGotham_2016_Probabilistic_Graphical_Models
  Presentation + Jupyter Notebook from PyGotham July 2016
  ☆35Updated 2 years ago
• mmmayo13 / scikit-learn-classifiers
  An introduction to implementing a number of scikit-learn classifiers, along with some data exploration
  ☆102Updated 9 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆81Updated 9 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆83Updated 5 years ago
• lazyprogrammer / DeepLearningTutorials
  Deep Learning Tutorial notes and code. See the wiki for more info.
  ☆72Updated 9 years ago
• rounakbanik / movies
  Second Springboard Capstone Project: A Movie Recommender
  ☆86Updated 8 years ago
• khanhnamle1994 / data-mining
  Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
  ☆92Updated 7 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆126Updated 9 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆153Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• aprilypchen / depy2016
  ☆110Updated 9 years ago
• jayinai / ml-cheatsheet
  A constantly updated python machine learning cheatsheet
  ☆167Updated 8 years ago
• rragundez / PyDataAmsterdam2018
  Contents of the workshop "Hands-on introduction to Deep Learning with Keras and Tensorflow" I gave at PyData Amsterdam 2018
  ☆65Updated 7 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆149Updated 9 years ago
• mubaris / friendly-fortnight
  K-Means Clustering using Python from Scratch
  ☆129Updated 8 years ago
• yanneta / pytorch-tutorials
  ☆241Updated 2 years ago
• wimlds / conferences
  List of Machine Learning & Data Science Conferences
  ☆82Updated 5 years ago
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆40Updated 7 years ago
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆162Updated 7 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 8 years ago
• shreyans29 / thesemicolon
  This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
  ☆394Updated 5 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• saimadhu-polamuri / DataAspirant_codes
  Complete machine learning model codes
  ☆209Updated 5 months ago
• mbernico / CS570
  Code for CS570, Essentials of Data Science
  ☆109Updated 8 years ago
• dvysardana / RecommenderSystems_PyData_2016
  ☆179Updated 9 years ago
• kthouz / NYC_Green_Taxi
  Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare
  ☆45Updated 8 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆167Updated 7 years ago