This predicts the future energy demand by using a Multivariate LSTM (Long Short Term Memory) Model i.e. (a kind of Recurrent Neural Network) by considering environmental & time series factors.

BARC PROJECT

A Google Colab notebook for interactively training simple AI/ML classification models. Features CSV upload, dummy data generation, feature/target selection, model choice, and basic evaluation. Includes a user-friendly UI. Ideal for educational purposes. See screenshots below!

Python-based analysis of the U.S. data analyst job market, exploring in-demand and high-paying skills with clean data processing and visualizations.

Covid-19 Sentimental Analysis of Twitter Dataset using Python and Tweepy Library

A retail data engineering project featuring cleaning, feature creation, EDA, visuals, and customer purchase insights.

60-70% of the time ML model building workflow is consumed in data preparation. Aim of this repo is to get an introduction to how can you clean and transform your raw data.

City-wise analysis of air pollution and particulate matter (PM2.5 & PM10) in India using Python, Pandas, Matplotlib and Seaborn.

Netflix Movies & TV Shows Exploratory Data Analysis using Python, Pandas, Matplotlib, and Seaborn with business insights and visualizations.

Covid-19 Report Generator

This repository contains an exploratory data analysis (EDA) of Netflix's TV Shows and Movies dataset using Python. This project focuses on applying Python libraries, such as Pandas, Matplotlib, and Seaborn, to extract insights about Netflix's content distribution, popular genres, and trends over time.

This is the Machine Learning(ML) based System which predicts the possibility of a heart attack based on the previous datasets which consists the following variables such as age ,sex ,blood pressure ,cholesterol ,obesity ,etc. The exploratory data analysis of these parameters plays a vital role in the precision of the model.

A physics simulator of bouncing cubes.

Hotel Bookings Analysis and Cancellation Insights

Python simulations benchmarking FCFS/SJF and FIFO/LRU across varied workloads, with matplotlib visualizations and CSV export

Determined with genetic algorithm

SQL analysis of data job market compensation trends (2020–2024) using SQLite and Python. Covers salary by role, experience level, work setting, and company size.

Exploratory data analysis on the Titanic dataset,data cleaning, feature engineering, and visualization using pandas, numpy, matplotlib, and seaborn.

This repo showcases a self-guided project that explores and analyzes the Nobel Prize Database using Python's data analysis and visualization libraries such as NumPy, Seaborn, and Pandas.