An open-source, low-code machine learning library in Python

BlocklyML is a simple visual programming Tool for python and ML. 🧩 🖥️

All the available resources to master MLOPS from scratch

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.

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

AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies.

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.

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

Jupyter Notebook Templates for quick prototyping of machine learning solutions

Using PyCaret with Bodywork to deploy ML pipelines to Kuberentes

Machine learning and Deep Learning Hackathon Solutions

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.

🔥 A website showcasing my work

Repositório para Análise de dados, Treinamento de Modelo preditivo e Análise de Resultados para dados obtidos da NASA sobre Eclipses Lunares e Solares