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The aim of this project is to find the total number of buildings, damaged buildings in a certain area due to a flood event, and total flooded area to create an index to find the severity of the flood.

Çalışma #python dilinde #jupyternotebook kullanılarak, veri işleme için #pandas, veri görselleştirme için #numpy, analiz için #matplotlib gibi kütüphaneler kullanılarak G8 ülkeleri ve Türkiye Enerji Tüketimleri Enerjide Kullanılan Maddelerin Payları İncelenmiştir.

FLIX-HUB is a movie recommendation system utilizing the Netflix dataset. It features comprehensive data preprocessing and analysis, generating personalized movie and TV show suggestions based on TF-IDF vectorization and cosine similarity. The project includes interactive visualizations for insights into content trends and distributions.

Estimate property value appreciation based on proximity to train stations in New York City

Data Science Capstone Project on SpaceX Launches This repository contains Jupyter notebooks exploring and analyzing SpaceX launch data. Includes data collection, EDA, machine learning, and data visualization.

A machine learning project that predicts the future price of Ethereum (ETH) using the price data gathered from coincodex.com.

This project analyzes sales and financial data using Python and Pandas to provide insights and recommendations. It includes an interactive Tableau dashboard for exploring key metrics and trends.

This repository contains all the deep learning projects done as tutorial

Python tutorial: start here if you don't know Programming

web scrapping : (Website: Wikipedia)from list of large companies in india using BeautifulSoup and convert it to a .csv file

An interactive tool for fitting Butler-Volmer equations to potentiodynamic scan data in Jupyter Notebook. Provides corrosion parameters and user-friendly plotting with features like IR compensation and axis switching. Requires Python 3.8 (Anaconda).

Internship in Brainwave Matrix Solutions in Data science/Data Analytics

ComputerVision Project

Chest Cancer Classification is an Classification Project, in where the model classifies if the person is affected by Chest cancer or not, based on the inputed image

This project features an image scraper built with Python, designed to extract images from websites efficiently. Using libraries like BeautifulSoup and Requests, it automates the process, making it easy to gather images for various applications, from data analysis to creative projects.

This Streamlit app lets users upload vehicle data for clustering analysis. It preprocesses data, removes outliers with Isolation Forest, and performs hierarchical clustering. Users can visualize results with dendrograms, histograms, boxplots, and PCA scatter plots. Ideal for exploring vehicle dataset patterns.

Image Background Remover Source

This project leverages AutoGluon in AWS SageMaker Studio to predict bike sharing demand, automating model training and tuning for accurate forecasting.