Contains code and documentation for conducting Exploratory Data Analysis (EDA) on various datasets. The EDA process involves examining and visualizing datasets to better understand their characteristics, relationships, and insights that can be derived from them.

Machine Learning -----> Supervised Learning , Unsupervised Learning

Deep Learning ---- ANN, CNN, RNN, LSTM Algorithm

Web application for detecting fraudulent credit card transactions using machine learning

🤖 Whatsapp-Chat analysis This project provides an interactive dashboard to analyze WhatsApp chat data.

🤖NLP, Deep Learning, Machine Learning

🤖 Streamlit App Spam Emails Classification Project Deep Learning 🔥

A machine learning-based web application for predicting cancer risk based on various health and lifestyle factors.

"Exploratory Data Analysis (EDA) scripts and resources for uncovering insights from datasets. Includes data cleaning, visualization, statistical summaries, and correlation analysis using Python libraries like pandas, matplotlib, and seaborn."

This project analyzes EV sales data across Indian states, focusing on sales distribution by vehicle type, category, and region.

Construction d’un pipeline PySpark pour l’analyse des performances footballistiques saison par saison, avec calcul de KPI, ranking des équipes et stockage optimisé en Parquet partitionné.

Unemployment Data Analysis using Python – Explore regional trends and insights through data visualization and EDA.

This project analyzes household financial transactions spanning from 2015 to 2018, focusing on income, expenses, net savings, and spending patterns across categories and modes of payment.

Data Analysis according to sale data.

Analyzed traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualized accident hotspots using heatmaps and bar plots.

🌲 Algerian Forest Fire Prediction | Machine Learning Project A machine learning project that predicts the likelihood of forest fires in Algeria using meteorological and environmental data.

This repository contains an exploratory data analysis (EDA) of the Titanic dataset. Key analyses include survival rates by gender, passenger class, age distribution, family size, and correlation heatmaps.

WhatsApp Chat Analyzer :- a Python-based tool built using Streamlit, pandas, emoji, WordCloud, and matplotlib / Seaborn. With this tool, users can upload their exported WhatsApp chat data and gain valuable insights into their conversations.