Alternatives and similar repositories for Python-Projects

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

• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 3 years ago
• finlytics-hub / credit_risk_model
  A comprehensive credit risk model and scorecard using data from Lending Club
  ☆149Updated 4 years ago
• solegalli / machine-learning-interpretability
  Code repository for the online course Machine Learning Interpretability
  ☆30Updated last year
• PacktPublishing / Data-Science-for-Marketing-Analytics-Second-Edition
  ☆139Updated 2 months ago
• solegalli / Python-Feature-Engineering-Cookbook-Second-Edition
  ☆12Updated last year
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆170Updated last year
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆154Updated 10 months ago
• ajhalthor / bayesian-testing
  Notebook to walk through Bayesian testing with Kaggle data
  ☆39Updated 4 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆187Updated last month
• 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 3 years ago
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆342Updated last year
• SooyeonWon / customer_analytics_fmcg
  Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity
  ☆50Updated 5 years ago
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆128Updated last year
• rajeshmore1 / DataScience_Mentorship
  Course Material - Data Science Program
  ☆15Updated 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…
  ☆96Updated 3 years ago
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆135Updated 2 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆220Updated this week
• PacktPublishing / Data-Cleaning-and-Exploration-with-Machine-Learning
  Data Cleaning and Exploration with Machine Learning
  ☆61Updated last month
• kennethleungty / End-to-End-AutoML-Insurance
  An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
  ☆82Updated 3 years ago
• solegalli / feature-engineering-for-machine-learning
  Code repository for the online course Feature Engineering for Machine Learning
  ☆409Updated 2 years ago
• 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…
  ☆159Updated 3 years ago
• FrancescoCasalegno / AB-Testing
  A/B Testing — A complete guide to statistical testing
  ☆178Updated 3 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆248Updated last month
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆66Updated 3 years ago
• 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…
  ☆240Updated 3 years ago
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆235Updated 3 years ago
• baniasbaabe / learning-data-science
  Curated collection of awesome resources and tutorials for mastering Data Science, Machine Learning, Deep Learning, and Python.
  ☆51Updated last year
• ashishpatel26 / LLM-Engineering-Crash-Course
  LLM Engineering CrashCourse
  ☆103Updated last year
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆190Updated last month
• jalajthanaki / Customer_segmentation
  Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …
  ☆137Updated 7 years ago