Leveraging advanced data cleaning techniques and feature engineering, a robust food delivery prediction model was developed using regression algorithms.

This is an AI model for predicting laptop price, trained on about 1200 data.

In this project conducted in RStudio using the R programming language, we delved into Spotify data to unravel patterns and insights contributing to music's popularity. Employing statistical techniques and leveraging the power of ggplot2 for visualizations, our analysis aimed to provide a comprehensive understanding of what drives music preferences.

Given a Tweet (Hindi + English), task is to identify whether it is offensive or not,

Power Outage Data Analysis in USA

Welcome to my data science repository! Here you will find a collection of resources and examples for exploring, analyzing, and manipulating data using Python. The repository includes code templates, case studies, and exercises to help you learn and practice data science concepts and techniques. The topics covered include data exploration, data visu

A comprehensive dimensional model for COVID data, enabling insights for future vaccination campaigns through robust visual analytics.

Data analytics projects done at trainity throughout my 8week training

Complete Tutorial for all basic concepts to use Pandas at beginner level.

This is our Machine Learning course project. Predict the user based on its cursor movements.

Airbnb price prediction with machine learning models using Amsterdam dataset.

This repository contains materials from a two-session workshop on Machine Learning and Deep Learning. Session 1 covers data preprocessing techniques including data cleaning, feature engineering, and exploratory data analysis. Session 2 focuses on building and training a neural network using TensorFlow and the Fashion MNIST dataset.

Predicting AQI using LSTMs and Neural Networks

Successfully established a supervised machine learning model that can accurately predict whether the travel insurance claim of a particular customer should be approved or not by a travel insurance agency.

This is a Dataquest project that focuses on creating an efficient workflow

This repository contains the data analysis of the sales for an electronic store for the year 2019. The analysis is performed using Python programming language and various data analysis libraries

Data cleansing and handling missing data for a survey conducted by Stack Overflow

Join our mission to enhance aviation safety by diving into a century's worth of aerial accidents. As the data analyst for the International Civil Aviation Organization (ICAO), I've meticulously examined data, conducted extensive analyses, and developed an interactive Tableau Dashboard to provide insightful visualizations.