Alternatives and similar repositories for Variable-Selection-Using-Python

Users that are interested in Variable-Selection-Using-Python are comparing it to the libraries listed below

• Sundar0989 / WOE-and-IV
  ☆136Updated 7 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆144Updated 3 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 7 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆281Updated 9 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆421Updated last year
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆346Updated 9 years ago
• Sundar0989 / EndtoEnd---Predictive-modeling-using-Python
  ☆56Updated 7 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆83Updated 8 years ago
• mGalarnyk / Installations_Mac_Ubuntu_Windows
  Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
  ☆236Updated 2 years ago
• seanabu / seanabu.github.io
  personal blog
  ☆106Updated 7 years ago
• raffg / air-passengers-arima
  ARIMA forecasts on the AirPassengers dataset built in Python and Tableau
  ☆50Updated 7 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 7 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆77Updated 3 years ago
• IdoZehori / Credit_Score
  data from the kaggle 'give me some credit" competition
  ☆124Updated 9 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆83Updated 5 years ago
• ultimatist / ODSC17
  https://www.odsc.com/boston
  ☆35Updated 8 years ago
• Pierian-Data / AutoArima-Time-Series-Blog
  This is the code notebook for the blog post on using Python and Auto ARIMA
  ☆103Updated 6 years ago
• Semantive / Kaggle-Demand-Forecasting-Models
  Demand Forecasting Models for Kaggle competition
  ☆86Updated 7 years ago
• analyticalmonk / KMeans_elbow
  Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
  ☆42Updated 6 months ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆220Updated 9 years ago
• j-planet / machine-learning-big-loop
  a big loop that runs through all sklearn supervised models, as well as hyperparameter-selection via cross-validation
  ☆36Updated 8 years ago
• maoting1223 / pycon_sg_2016
  PyCon SG 2016 - Customer Segmentation in Python
  ☆56Updated 9 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• treselle-systems / customer_churn_analysis
  In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…
  ☆61Updated 2 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆50Updated 7 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• aprilypchen / depy2016
  ☆110Updated 9 years ago
• loldja / loldja.github.io
  Data science blog
  ☆33Updated 7 years ago
• knathanieltucker / deep-learning-building-blocks
  ☆33Updated 3 years ago