Abhishek Rastogi

Face-Mask-Detection

July 5, 2024 – July 11, 2024

This project uses deep learning to identify whether people in images are wearing face masks, focusing on image annotation and CNN-based classification for detection.

Earthquake-Detection

July 5, 2024 – July 11, 2024

Python scripts for earthquake detection, featuring data preprocessing, visualization using Cartopy, and machine learning model training for predicting earthquake parameters like magnitude and depth.

Deep-Fake-Detection

July 5, 2024 – July 11, 2024

This repository hosts Python scripts designed for detecting deep fake images using video frame extraction and image comparison techniques. The scripts utilize Mean Squared Error (MSE) and Structural Similarity Index (SSIM) to analyze frames extracted from input videos.

Web-Scraping-Projects

July 5, 2024 – July 11, 2024

These projects demonstrate Python's effectiveness in web scraping across diverse platforms. They include extracting YouTube video data with pytube, analyzing Twitter followings using twint, scraping product information from Flipkart with BeautifulSoup, and fetching Instagram profiles and posts using instaloader. Each showcases Python's versatility

Online-Shopping-Intention-Analysis

May 30, 2024 – July 11, 2024

In this analysis, we first imported necessary libraries such as numpy, pandas, matplotlib.pyplot, seaborn, and plotly to work with the dataset and visualize data. We loaded the dataset online_shoppers_intention.csv which consists of 10 numerical and 8 categorical attributes. The dataset includes various features like page visits, time spent, metric

Diabates-Prediction-Modelling

March 3, 2024 – September 13, 2024

This project focuses on developing a machine learning model to predict the likelihood of diabetes in individuals based on various health-related features. Diabetes is a chronic condition that affects millions of people worldwide, and early detection plays a crucial role in managing the disease and preventing complications.

Breast-Cancer-Modelling

March 2, 2024 – July 11, 2024

This project utilizes machine learning algorithms to predict breast cancer based on a given dataset containing various features extracted from breast mass images. The dataset includes attributes such as radius_mean, texture_mean, perimeter_mean, etc., with the target variable being the diagnosis (M = malignant, B = benign).

Weather-Prediction-Modelling

February 27, 2024 – February 27, 2024

This project leverages machine learning to predict weather conditions based on historical data. By analyzing past weather patterns, the project aims to develop accurate forecasting models for temperature, humidity, precipitation, and other meteorological parameters. The goal is to provide valuable insights into future weather conditions

Loan-Approval-Prediction

February 24, 2024 – February 26, 2024

This repository provides a comprehensive solution for predicting loan approvals using various machine learning algorithms. With Python libraries such as pandas, numpy, matplotlib, and scikit-learn, the project preprocesses data, trains models, and evaluates their performance.

Titanic-Survival-predictive-Modelling

February 24, 2024 – February 24, 2024

Welcome to the Titanic Survival Prediction project repository! This project analyzes the Titanic passenger dataset to predict the likelihood of survival based on various passenger attributes. Using machine learning techniques and data analysis, we explore factors such as age, gender, class, and ticket fare to build predictive models for survival.