Alternatives and similar repositories for nba-prediction

Users that are interested in nba-prediction are comparing it to the libraries listed below

• Paulescu / bytewax-hopsworks-example
  Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
  ☆145Updated 2 years ago
• logicalclocks / hopsworks-tutorials
  Tutorials for the Hopsworks Platform
  ☆307Updated last month
• MatejFrnka / ScalableML-project
  ☆109Updated 2 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.
  ☆134Updated 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
• D-dot-AT / Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
  Examples of python neural net and ML stock prediction methods with sample stock data.
  ☆270Updated 11 months ago
• Paulescu / real-time-data-pipelines-in-python
  Real-time Feature Pipelines in Python ⚡
  ☆283Updated last year
• mattharrison / effective_xgboost_book
  ☆292Updated 2 years ago
• SebastianoMeneghin / sml-project-2023-manfredi-meneghin
  Scalable Machine Learning and Deep Learning, Final Project, 2023/2024
  ☆245Updated last year
• Paulescu / fast_eda
  Fast data exploration using Sweetviz
  ☆23Updated 3 years ago
• Paulescu / real-time-technical-indicators
  Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expect…
  ☆45Updated last year
• Paulescu / incremental-ml-training-and-serving
  Incremental ML learning in the real-world
  ☆69Updated 8 months ago
• javieryanzon / bike_sharing_demand_predictor
  Project bike sharing predictor
  ☆79Updated 3 months ago
• joaopcnogueira / ts2ml
  Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning
  ☆109Updated 2 years ago
• Paulescu / hands-on-train-and-deploy-ml
  Train and Deploy an ML REST API to predict crypto prices, in 10 steps
  ☆872Updated last year
• mattharrison / sample_nb_code_project
  An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them
  ☆101Updated 2 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
• youssefHosni / Hands-On-Time-Series-Analysis-with-Python
  Practical guidance for time series analysis in Python
  ☆315Updated 3 months ago
• svpino / ml.school
  Machine Learning School
  ☆407Updated last week
• erno98 / ID2223
  ☆24Updated 2 years ago
• MischaRauch / wave_height_prediction_huntington
  Wave height prediction for the Huntington beach in California, USA.
  ☆62Updated last year
• ashishpatel26 / LLM-Engineering-Crash-Course
  LLM Engineering CrashCourse
  ☆103Updated last year
• nikitaprasad21 / ML-Cheat-Codes
  Machine Learning Cheatsheet 2024
  ☆143Updated last year
• baniasbaabe / learning-data-science
  Curated collection of awesome resources and tutorials for mastering Data Science, Machine Learning, Deep Learning, and Python.
  ☆51Updated last year
• Paulescu / ml-rest-api-caching
  How to serve ML predictions 100x faster
  ☆59Updated last year
• featurestoreorg / serverless-ml-course
  Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
  ☆675Updated last year
• Coder-World04 / Time-Series-Analysis-and-Forecasting
  This repository contains everything you need to become proficient in Time Series Analysis and Forecasting
  ☆322Updated last year
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated 2 weeks ago
• prsdm / mlops-project
  ☆154Updated last year
• RamiKrispin / ai-dev-2024-ml-workshop
  Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
  ☆93Updated this week