vsmolyakov / experiments_with_python

Related projects ⓘ

Alternatives and complementary repositories for experiments_with_python

• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆520Updated 5 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆217Updated 8 years ago
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆623Updated last year
• Shitao-zz / Kaggle-House-Prices-Advanced-Regression-Techniques
  Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques
  ☆106Updated 8 years ago
• xiaozhouwang / kaggle-porto-seguro
  2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction
  ☆157Updated 5 years ago
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆152Updated 6 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 4 years ago
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆216Updated last year
• FrancisArgnR / Time-series---deep-learning---state-of-the-art
  Scientific time series and deep learning state of the art
  ☆282Updated 4 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆763Updated 3 years ago
• Sundar0989 / WOE-and-IV
  ☆137Updated 5 years ago
• LenzDu / Kaggle-Competition-Favorita
  5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
  ☆251Updated 6 years ago
• dataworkshop / xgboost
  Tutorial how to use xgboost
  ☆171Updated 8 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆284Updated 6 years ago
• Geo-Joy / Deep-Learning-for-Time-Series-Forecasting
  This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete an…
  ☆141Updated 5 years ago
• SudalaiRajkumar / Kaggle
  Codes for Kaggle Competitions
  ☆506Updated 7 years ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆301Updated 6 years ago
• groverpr / Machine-Learning
  Notes for machine learning
  ☆219Updated 2 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆118Updated 6 years ago
• Speedml / notebooks
  Speedml Python Notebooks
  ☆130Updated 7 years ago
• tgjeon / Keras-Tutorials
  Simple tutorials using Keras Framework
  ☆268Updated 7 years ago
• pratos / flask_api
  Creating a Machine Learning API using Flask - Repository for AV Article
  ☆191Updated 5 years ago
• jayinai / kaggle-classification
  A compiled list of kaggle competitions and their winning solutions for classification problems.
  ☆268Updated 8 years ago
• msahamed / handle_imabalnce_class
  Address imbalance classes in machine learning projects.
  ☆66Updated 6 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆304Updated 5 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆113Updated 6 years ago
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆150Updated 7 years ago
• llSourcell / Gaussian_Mixture_Models
  This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
  ☆146Updated 6 years ago
• thismlguy / analytics_vidhya
  Codes related to activities on AV including articles, hackathons and discussions.
  ☆1,194Updated 5 years ago
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆343Updated 8 years ago