Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties

Developed a price prediction model using Random Forest Regression algorithm. Different graphs were created as a part of Exploratory Data Analysis. Feature Engineering was performed to make the data ready for building the model.Built an interactive dashboard using dash and plotly libraries

A comprehensive tool that leverages LLM-driven recommendations to empower e-commerce businesses with actionable competitive intelligence in real time

Code templates for data prep and different ML algorithms in Python.

Machine Learning Playground

This project is designed to help users assess their stress levels and provide personalized suggestions for managing stress. The chatbot collects user data such as age, gender, sleep quality, physical activity, and health metrics, and uses a RandomForestRegressor model to predict the user's stress level.

Machine Learning implementation for personalized prediction of longitudinal COVID-19 vaccine responses in immunocompromised individuals

Microservicio que predice la temperatura y humedad usando Arima y RandomForestRegressor

DAG qui permet de récupérer des informations depuis une API de données météo disponible en ligne, les stocke, les transforme et entraîne un algorithme dessus

Finding High redshift quasars in large survey data using random forests. Code of Wenzl et al. 2021

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

Combined Power Plant - Energy Prediction Using Random Forest Regressor - Deployment using Streamlit

Missing value imputation using KNN.

Interactive web app for visualizing capacitor experiment data and predicting voltage.

A regression model optimization project using GridSearchCV with 3-fold Cross-Validation, evaluated by MSE, and tracked via MLflow to log experiments, parameters, and metrics.