Python Phishing URL Detection

Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM

Using PyCaret to Predict Apple Stock Prices

Real time streaming of a time series with corresponding forecasts.

Sample Code :PyCaret is an open-source, low-code machine learning library in Python

This is the Streamlit web application that allows users to upload a dataset, generate an automated exploratory data analysis (EDA) report using the pandas-profiling library, and and train a machine learning model for regression or classification tasks.

All of my PyCaret's notebooks covering both Supervised & Unsupervised Machine Learning.

Utilizes pycaret to automates machine learning workflows (Deployed at streamlit)

Our project leverages Python, pandas, Tableau, and machine learning techniques to analyse and predict student outcomes in higher education. Using a comprehensive dataset, we employ data preprocessing, visualisation with Tableau, and advanced machine learning models built with Python to uncover insights into graduation rates and factors influencing

A research study on How do factors like alcohol consumption, age, ethnic background, and medical history affect the risk of developing Alzheimer's disease?

This repository contains a practice streamlit app that automatically builds, trains and downloads(optional) the best performing machine learning model

Testing PyCaret, Fugue, and Dask

How to access time series data from QuestDB Data storage and train a forecasting model using Pycaret Library

Low-code machine learning library in Python - Pycaret

Analyzed large-scale patient data from multiple sources, including electronic health records. Developed a predictive model with high accuracy, for early disease detection using 6 ML algorithms in model.

CatBoost regressor for Predicting alcohol level based on chemical properties of the white wine

This repository showcases a comparison of AutoML frameworks—PyCaret, Lazy Predict, and H2O AutoML—by evaluating multiple models automatically and analyzing their performance. 🚀

🎮 Trabalho Prático - Tecnologias para Data Science

Análisis detallado del famoso conjunto de datos del Titanic. Este proyecto explora los factores que pudieron haber influido en la supervivencia de los pasajeros durante el desastre.

Breast Cancer detection study with Pycaret library.