Alternatives and similar repositories for LogisticRegression

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

• 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
• ahmedbesbes / How-to-score-0.8134-in-Titanic-Kaggle-Challenge
  Solution of the Titanic Kaggle competition
  ☆131Updated 4 years ago
• vsmolyakov / experiments_with_python
  experiments with python
  ☆376Updated 7 years ago
• dataworkshop / xgboost
  Tutorial how to use xgboost
  ☆192Updated 9 years ago
• SudalaiRajkumar / Kaggle
  Codes for Kaggle Competitions
  ☆517Updated 8 years ago
• groverpr / Machine-Learning
  Notes for machine learning
  ☆219Updated 3 years ago
• thismlguy / analytics_vidhya
  Codes related to activities on AV including articles, hackathons and discussions.
  ☆1,195Updated 6 years ago
• analyticalmonk / KMeans_elbow
  Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
  ☆42Updated 6 months ago
• madhug-nadig / Machine-Learning-Algorithms-from-Scratch
  Implementing machine learning algorithms from scratch.
  ☆388Updated 4 years ago
• georgymh / ml-fraud-detection
  Credit card fraud detection through logistic regression, k-means, and deep learning.
  ☆263Updated 7 years ago
• SSaishruthi / LogisticRegression_Vectorized_Implementation
  ☆183Updated 3 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆220Updated 9 years ago
• mattnedrich / GradientDescentExample
  Example demonstrating how gradient descent may be used to solve a linear regression problem
  ☆547Updated 2 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆520Updated 6 years ago
• curiousily / Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
  iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transaction…
  ☆575Updated 6 years ago
• IdoZehori / Credit_Score
  data from the kaggle 'give me some credit" competition
  ☆124Updated 9 years ago
• agconti / kaggle-titanic
  A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization…
  ☆942Updated last year
• pratos / flask_api
  Creating a Machine Learning API using Flask - Repository for AV Article
  ☆193Updated 6 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
• jimenbian / DataMining
  My data mining code！
  ☆183Updated 9 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆83Updated 8 years ago
• bensadeghi / pyspark-churn-prediction
  Churn Prediction with PySpark using MLlib and ML Packages
  ☆58Updated 9 years ago
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆346Updated 9 years ago
• Apress / practical-ml-w-python
  Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
  ☆123Updated 8 years ago
• saimadhu-polamuri / DataAspirant_codes
  Complete machine learning model codes
  ☆210Updated 6 months ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆113Updated 8 years ago
• yazanobeidi / fraud-detection
  Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
  ☆107Updated 3 years ago
• ludobouan / linear-regression-sklearn
  Multivariate linear regression with sklearn
  ☆75Updated 2 years ago
• PacktPublishing / Building-Machine-Learning-Projects-with-TensorFlow
  Building Machine Learning Projects with TensorFlow by Packt
  ☆268Updated this week
• pyduan / amazonaccess
  Amazon Employee Access Challenge
  ☆207Updated 12 years ago