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

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

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

A project analyzing the Indian startup ecosystem between 2018 and 2021.

This exploratory data analysis (EDA) project focuses on examining sugarcane production data. Through this analysis, we seek to gain valuable insights into factors influencing sugarcane production, develop predictive models for future yields, and ultimately support efforts to optimize production efficiency and sustainability.

A repository where I keep all of my data cleaning samples/portfolio items.

The Ethiopian Medical Business Data Warehouse & Analytics Platform is a comprehensive data solution tailored to enhance the efficiency and efficacy of Ethiopia's healthcare and medical sectors.

Black Friday Sales Analysis explores customer demographics, purchasing behaviors, and product trends to uncover insights and patterns driving sales during Black Friday events.

Global Superstore BI Dashboard

Comprehensive object detection using YOLOv5, trained from scratch. Includes data preparation, YOLOv5 training on 20 labels, and testing on images/videos. Utilizes Google Colab's V100 GPU for robust detection.

📊 An analysis of voting patterns in São Paulo's 2024 elections, focusing on voter behavior, absenteeism, and geographic trends.

"Predicting a Greener Future 🌾📊 Delve into the world of agriculture and data science with our Yield Prediction project. We harness machine learning and weather data to forecast crop yields accurately. Join us in cultivating smarter farming practices for a sustainable tomorrow."

Project aims to forecast potato prices in India using LSTM, KNN, and Random Forest Regression, integrating historical data on prices, regional stats, and rainfall patterns. Targeting agricultural stakeholders for informed decision-making.

Designed and implemented machine learning and deep learning models to diagnose gearbox faults. Preprocessed sensor data, engineered features, and trained models using techniques like SVM, random forests, LSTM and naive bias. Evaluated model performance and optimized hyperparameters to achieve high diagnostic accuracy.

It was a competition on KAGGLE for prediction on the most sales products on bikes via their features

A Kafka-based CSV parser for bird-related airplane accidents

This project involves analyzing real-world medical appointment data through Time Series Analysis. The tasks include dataset cleaning, comprehensive analysis, and extracting insights using Python and MySQL.

The objective of this project is to analyze the customers of a bank, categorize them with K-Means and Hierarchical Clustering and evaluate their distinct characteristics

In this project, a real-world dataset from Zomato, one of the most widely used food ordering platforms, was worked on.

Power Outage Data Analysis in USA