Airbnb Data Analysis and Visualization project is a comprehensive data exploration and presentation effort. It involves data collection, preprocessing, ETL work, and the creation of an interactive Streamlit user interface. The project aims to provide insights and make Airbnb data more accessible and understandable.

It's a Virtual-Experience-Programme which offers the opportunity to complete tasks using our data science skills. Additionally, I independently built a dashboard project.

This project analyzes Netflix user activity and trends using time series forecasting techniques. It includes data preprocessing, trend analysis, seasonality detection, and forecasting models like ARIMA to predict future engagement patterns. Built with Python, Pandas, and Statsmodels.

JP Morgan Cognizant Artificial Virtual internship

About This is a Power BI project that analyses the water challenge in Maji Ndogo and estimates the costs for the upgrades needed.

Task 3 of the Prodigy infotech Data science internship

A python EDA project implemented on IT department salaries data we made data exploration and made data visulization for some questions on dataset

machine learning

This repository contains machine learning projects covering various real-world applications. It includes data preprocessing, feature engineering, model training, and evaluation using algorithms like regression, classification, and deep learning. Built with Python, Scikit-Learn, TensorFlow, and Pandas. 🚀

This project uses machine learning to classify text sentiment as positive, negative, or neutral. It includes data preprocessing, feature extraction, and models like Logistic Regression, SVM, and Random Forest. Built with Python and Scikit-Learn.