Alternatives and similar repositories for LogisticRegression

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

• SudalaiRajkumar / Kaggle
  Codes for Kaggle Competitions
  ☆517Updated 8 years ago
• vsmolyakov / experiments_with_python
  experiments with python
  ☆376Updated 8 years ago
• Shitao-zz / Kaggle-House-Prices-Advanced-Regression-Techniques
  Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques
  ☆113Updated 9 years ago
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆345Updated 9 years ago
• ahmedbesbes / How-to-score-0.8134-in-Titanic-Kaggle-Challenge
  Solution of the Titanic Kaggle competition
  ☆132Updated 4 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆220Updated 9 years ago
• eclarson / DataMiningNotebooks
  This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given link…
  ☆182Updated 4 years ago
• madhug-nadig / Machine-Learning-Algorithms-from-Scratch
  Implementing machine learning algorithms from scratch.
  ☆388Updated 4 years ago
• dataworkshop / xgboost
  Tutorial how to use xgboost
  ☆192Updated 9 years ago
• analyticalmonk / KMeans_elbow
  Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
  ☆42Updated 8 months ago
• pratos / flask_api
  Creating a Machine Learning API using Flask - Repository for AV Article
  ☆193Updated 6 years ago
• mattnedrich / GradientDescentExample
  Example demonstrating how gradient descent may be used to solve a linear regression problem
  ☆550Updated 2 years ago
• llSourcell / k_means_clustering
  This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube
  ☆125Updated 5 years ago
• groverpr / Machine-Learning
  Notes for machine learning
  ☆219Updated 3 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆126Updated 9 years ago
• IdoZehori / Credit_Score
  data from the kaggle 'give me some credit" competition
  ☆124Updated 9 years ago
• llSourcell / random_forests
  This is the code for "Random Forests - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
  ☆87Updated 8 years ago
• saimadhu-polamuri / DataAspirant_codes
  Complete machine learning model codes
  ☆212Updated 8 months ago
• shreyans29 / thesemicolon
  This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
  ☆395Updated 5 years ago
• SudalaiRajkumar / ML
  Codes related to various ML Hackathons
  ☆211Updated 6 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆42Updated 7 years ago
• PacktPublishing / Learning-Data-Mining-with-Python
  Code repo for Learning Data Mining with Python, published by Packt Publishing
  ☆199Updated 2 years ago
• khanhnamle1994 / data-mining
  Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
  ☆94Updated 7 years ago
• georgymh / ml-fraud-detection
  Credit card fraud detection through logistic regression, k-means, and deep learning.
  ☆266Updated 8 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆448Updated 4 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆100Updated 2 years ago
• agconti / kaggle-titanic
  A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization…
  ☆946Updated last year
• tthustla / twitter_sentiment_analysis_part11
  Twitter sentiment analysis part 11: Word2Vec with Convolutional Neural Network
  ☆31Updated 7 years ago
• PacktPublishing / Building-Machine-Learning-Projects-with-TensorFlow
  Building Machine Learning Projects with TensorFlow by Packt
  ☆269Updated last month
• bensadeghi / pyspark-churn-prediction
  Churn Prediction with PySpark using MLlib and ML Packages
  ☆58Updated 9 years ago