Alternatives and similar repositories for SurprisePythonExamples

Users that are interested in SurprisePythonExamples are comparing it to the libraries listed below

• mathangpeddi / Laptop-Prices-Predictor
  Laptop Prices Predictor is an end-to-end data science project that accurately predicts laptop prices using machine learning algorithms. T…
  ☆14Updated last year
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 3 years ago
• patrickbrus / Retail_Data_Analytics
  A Machine Learning project for retail data analytics as part of the Machine Learning Engineering Nanodegree Capstone Project from Udacity
  ☆12Updated 4 years ago
• elifyilmaz2027 / projects
  This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.
  ☆12Updated last year
• samirsaci / ml-forecast-features-eng
  Machine Learning for Retail Sales Forecasting — Features Engineering
  ☆67Updated last year
• tanpengshi / Metis_Project_5_Recommender_System
  All repository files for Metis Data Science Project 5 - Content-Based Recommender for E-Commerce
  ☆12Updated 5 years ago
• Cooper315315 / Job-and-Talent-Recommendation-System
  ☆22Updated 4 years ago
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• PacktPublishing / Building-Recommendation-Systems-with-Python
  Building Recommendation Systems with Python [Video], by Packt Publishing
  ☆91Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 10 months ago
• aryan-jadon / Evaluation-Metrics-for-Recommendation-Systems
  This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…
  ☆27Updated 9 months ago
• bauyrjanj / NLP-TwitterData
  ☆17Updated 5 years ago
• rashida048 / Some-NLP-Projects
  ☆14Updated 3 years ago
• Davisy / Deploy-NLP-Model-with-FastAPI
  Learn how to build and deploy NLP model with FastAPI
  ☆32Updated 4 years ago
• ashishpatel26 / MLFlow-End-to-End-Workshop-at-Chandigarh-University
  MLFlow End to End Workshop at Chandigarh University
  ☆11Updated 2 years ago
• ArmandDS / jobs_recommendations
  Recommender System Repo
  ☆33Updated 6 years ago
• numfocus / YouTubeVideoTimestamps
  Adding timestamps to NumFOCUS and PyData YouTube videos!
  ☆104Updated 3 years ago
• solegalli / feature-selection-with-feature-engine-book
  Code repository for the book Feature engineering with Feature-engine
  ☆14Updated last year
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆24Updated 2 years ago
• ellmanalex / instacart_basket_analysis
  ☆10Updated 5 years ago
• patrick013 / Classification-Algorithms-with-Python
  A final assignment of the course- Machine Learning for Python on Coursera. This notebook gives a good example of using ML framework to re…
  ☆18Updated 6 years ago
• ashishpatel26 / Kubeflow-installation-on-windows-10
  Kubeflow installation on windows 10/11
  ☆17Updated 2 years ago
• januverma / transformers-for-sequential-recommendation
  Notebooks on using transformers for sequential recommendation tasks
  ☆17Updated 2 years ago
• praatibhsurana / Machine-Learning-Engineering-for-Production
  A repository for the Machine Learning Engineering for Production Specialization provided by Deeplearning.ai .
  ☆13Updated 4 years ago
• RudrenduPaul / Python-Ecommerce-recommendation-system-using-machine-learning
  Business setting up their recommendation system for first time without any product rating history, & Amazon/Netflix type of recommendatio…
  ☆98Updated 3 years ago
• youssefHosni / Hands-On-Building-DeepSeek-R1-Applications
  Building applications with DeepSeek R1 model
  ☆12Updated 9 months ago
• h3ik0th / clv
  customer lifetime value BG/NBD model
  ☆17Updated 4 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated 2 years ago
• bledem / movie_recommendation
  Explore different Machine Learning models on a practical case for recommendation via simple matching algorithm.
  ☆10Updated 4 years ago
• charumakhijani / spark-ml-deployment
  ☆11Updated 4 years ago