Alternatives and similar repositories for Python-Projects

Users that are interested in Python-Projects are comparing it to the libraries listed below

• solegalli / machine-learning-interpretability
  Code repository for the online course Machine Learning Interpretability
  ☆29Updated last year
• PacktPublishing / Data-Science-for-Marketing-Analytics-Second-Edition
  ☆135Updated last month
• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆12Updated last year
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 3 years ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆169Updated last year
• finlytics-hub / credit_risk_model
  A comprehensive credit risk model and scorecard using data from Lending Club
  ☆148Updated 4 years ago
• solegalli / feature-engineering-for-machine-learning
  Code repository for the online course Feature Engineering for Machine Learning
  ☆407Updated 2 years ago
• archd3sai / Instacart-Market-Basket-Analysis
  The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previou…
  ☆92Updated 3 years ago
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆336Updated last year
• srivatsan88 / End-to-End-Time-Series
  This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…
  ☆265Updated 2 years ago
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆129Updated last year
• ajhalthor / bayesian-testing
  Notebook to walk through Bayesian testing with Kaggle data
  ☆38Updated 4 years ago
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆485Updated last week
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated last week
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆150Updated 9 months ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆63Updated 3 years ago
• abhashpanwar / credit-risk-modeling
  credit-risk-modeling
  ☆31Updated 4 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆216Updated last week
• PacktPublishing / Data-Cleaning-and-Exploration-with-Machine-Learning
  Data Cleaning and Exploration with Machine Learning
  ☆55Updated last week
• chen-bowen / Data_Science_Portfolio
  Portofolio repository for Udacity Data Scientist Nanodegree
  ☆42Updated 5 years ago
• kennethleungty / End-to-End-AutoML-Insurance
  An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
  ☆81Updated 3 years ago
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆73Updated last week
• mukulsinghal001 / customer-lifetime-prediction-using-python
  What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…
  ☆157Updated 3 years ago
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆79Updated 2 years ago
• alenyeh1014 / DataAnalytics-AB_Testing
  Statistical Analysis: Project with A/B testing and Machine Learning methodologies
  ☆15Updated 6 years ago
• melvfnz / data_science_portfolio
  Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
  ☆82Updated 7 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated last week
• SooyeonWon / customer_analytics_fmcg
  Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity
  ☆50Updated 5 years ago
• brianrisk / Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
  Examples of python neural net and ML stock prediction methods with sample stock data.
  ☆270Updated last year
• archd3sai / Customer-Survival-Analysis-and-Churn-Prediction
  In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…
  ☆237Updated 3 years ago