Alternatives and similar repositories for catboost-tutorial

Users that are interested in catboost-tutorial are comparing it to the libraries listed below

• vinyluis / Articles
  References to the Medium articles
  ☆86Updated 3 years ago
• parulnith / Analysing-Machine-Learning-Models-with-Yellowbrick
  Yellowbrick is an open source, Python project that extends the scikit-learn API with visual analysis and diagnostic tools
  ☆14Updated 6 years ago
• Deffro / Data-Science-Portfolio
  This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…
  ☆83Updated last year
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆72Updated 5 years ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 8 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• bhattbhavesh91 / time_series_notebooks
  My Experiments with Time Series
  ☆25Updated 4 years ago
• betterdatascience / YouTube
  Code & data from YouTube videos
  ☆19Updated 2 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 6 years ago
• dataman-git / Handbook-of-anomaly-detection
  ☆20Updated 3 months ago
• PacktPublishing / Hands-On-Predictive-Analytics-with-Python
  Hands-On Predictive Analytics with Python, published by Packt
  ☆54Updated 2 years ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆20Updated 2 years ago
• Jcharis / Interpreting-Machine-Learning-Models
  Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
  ☆27Updated 3 years ago
• RamiKrispin / USelectricity
  Forecast the US demand for electricity
  ☆100Updated 3 years ago
• MGCodesandStats / hotel-modelling
  Predicting Hotel Cancellations and ADR with machine learning. Classification, regression, time series analysis.
  ☆55Updated last year
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆65Updated 2 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 4 years ago
• Shivanandroy / CategoricalEmbedder
  Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
  ☆25Updated 6 years ago
• jphall663 / diabetes_use_case
  Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
  ☆27Updated last year
• lucko515 / ml_tutor
  Machine Learning Tutor Python library
  ☆23Updated 5 years ago
• susanli2016 / Mathematics-for-Machine-Learning-Specialization
  ☆18Updated 5 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆74Updated 5 years ago
• anishsingh20 / Time-series-analysis-of-Inflation-rates-using-ShinyDashboard
  This project will aim at studying and analyzing the inflation rates of countries globally. The dataset is a public dataset downloaded fro…
  ☆46Updated 7 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• SeanPLeary / time-series-h2o-automl-example
  Time-series forecasting using H2O's AutoML example
  ☆47Updated 6 years ago
• business-science / modeltime.gluonts
  GluonTS Deep Learning with Modeltime
  ☆43Updated 2 years ago
• BartoszSzablowski / Sell_Out_Sell_In_Forecasting
  Sell Out Sell In Forecasting project implemented at Nestlé
  ☆21Updated 3 years ago
• pmontman / paper-global-forec-princip
  The repository for the paper Principles for forecasting groups of time series: Locality and globality
  ☆10Updated 4 years ago
• bot13956 / ML_Model_for_Predicting_Ships_Crew_Size
  ☆74Updated 6 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year