Alternatives and similar repositories for Kaggle-House-Prices-Advanced-Regression-Techniques

Users that are interested in Kaggle-House-Prices-Advanced-Regression-Techniques are comparing it to the libraries listed below

• vsmolyakov / experiments_with_python
  experiments with python
  ☆376Updated 8 years ago
• SudalaiRajkumar / Kaggle
  Codes for Kaggle Competitions
  ☆517Updated 8 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆518Updated 6 years ago
• dataworkshop / xgboost
  Tutorial how to use xgboost
  ☆192Updated 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
• pratos / flask_api
  Creating a Machine Learning API using Flask - Repository for AV Article
  ☆193Updated 6 years ago
• data-doctors / kaggle-house-prices-advanced-regression-techniques
  Repository for source code of kaggle competition: House Prices: Advanced Regression Techniques
  ☆45Updated 8 years ago
• susanli2016 / PySpark-and-MLlib
  Getting start with PySpark and MLlib
  ☆300Updated 7 years ago
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆216Updated 3 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆113Updated 8 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆324Updated 5 years ago
• analyticalmonk / KMeans_elbow
  Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
  ☆42Updated 8 months ago
• neelabhpant / Deep-Learning-in-Python
  Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
  ☆389Updated 5 years ago
• jayinai / kaggle-classification
  A compiled list of kaggle competitions and their winning solutions for classification problems.
  ☆273Updated 9 years ago
• itsmuriuki / FIFA-2018-World-cup-predictions
  I used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the resu…
  ☆166Updated 7 years ago
• IdoZehori / Credit_Score
  data from the kaggle 'give me some credit" competition
  ☆124Updated 9 years ago
• xiaozhouwang / kaggle-porto-seguro
  2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction
  ☆155Updated 6 years ago
• msahamed / handle_imabalnce_class
  Address imbalance classes in machine learning projects.
  ☆65Updated 7 years ago
• alexeygrigorev / outbrain-click-prediction-kaggle
  Solution to the Outbrain Click Prediction competition
  ☆146Updated 8 years ago
• gabrielspmoreira / static_resources
  ☆77Updated 9 years ago
• teezeit / tuning_xgboost
  Using consecutive (greedy) gridsearch with cross validation to tune xgboost hyperparameters in python.
  ☆92Updated 8 years ago
• groverpr / Machine-Learning
  Notes for machine learning
  ☆219Updated 3 years ago
• Speedml / notebooks
  Speedml Python Notebooks
  ☆130Updated 8 years ago
• ttvand / Santander-Product-Recommendation
  2nd Place Solution of the Kaggle Competition - Santander Product Recommendation
  ☆178Updated 3 years ago
• jayinai / kaggle-regression
  A compiled list of kaggle competitions and their winning solutions for regression problems.
  ☆149Updated 9 years ago
• bjpcjp / scikit-and-tensorflow-workbooks
  based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
  ☆316Updated 8 years ago
• PacktPublishing / Learning-PySpark
  Code repository for Learning PySpark by Packt
  ☆341Updated 3 years ago
• perborgen / LogisticRegression
  Logistic regression from scratch in Python
  ☆332Updated last year
• edyoda / pyspark-tutorial
  PySpark Code for Hands-on Learners
  ☆117Updated 6 years ago