An open-source, low-code machine learning library in Python
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Updated
Jul 2, 2024 - Jupyter Notebook
An open-source, low-code machine learning library in Python
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.
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
Repository for the book Simplifying Machine Learning with PyCaret.
AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies.
Renewcast: Forecasting Renewable Electricity Generation in EU Countries.
Implementation of several ML models on real-world datasets with detailed explanation in notebooks.
EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)
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
Using PyCaret with Bodywork to deploy ML pipelines to Kuberentes
Jupyter Notebook Templates for quick prototyping of machine learning solutions
🔥 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
Machine learning and Deep Learning Hackathon Solutions
Prophet, Xgboost, RandomForest, LSTM, Wavenet
Repositório de introdução às ferramentas de um cientista de dados
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