Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
BlocklyML is a simple visual programming Tool for python and ML. 🧩 🖥️
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
AI Makerspace: Blueprints for developing AI applications with cutting-edge technologies.
Repository for the book Simplifying Machine Learning with PyCaret.
datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Renewcast: Forecasting Renewable Electricity Generation in EU Countries.
EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)
Implementation of several ML models on real-world datasets with detailed explanation in notebooks.
Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM
Python Projects During Three Years
Repository for the Demo of using DVC with PyCaret & MLOps (DVC Office Hours - 20th Jan, 2022)
Streamlit based web application for churn prediction
Prophet, Xgboost, RandomForest, LSTM, Wavenet
Hackathon - DELL HACK2HIRE 2021 - MSG Automl - A Streamlit based Automl system to help beginner and data specialist to find the best model to make prediction in classification, regression and clustering by the help of Pycaret Library.
Using PyCaret with Bodywork to deploy ML pipelines to Kuberentes
A collection of practical machine learning projects and notebooks covering key topics like regression, classification, clustering and feature engineering.More projects and tutorials will be added regularly to help you learn and apply ML techniques.
Jupyter Notebook Templates for quick prototyping of machine learning solutions
To associate your repository with the pycaret topic, visit your repo's landing page and select "manage topics."