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

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.

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.

"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."

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.

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

Data analytics projects done at trainity throughout my 8week training

Airbnb price prediction with machine learning models using Amsterdam dataset.

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

Explore NYC Green Taxi data, predicting fares and optimizing pickup locations using machine learning. Regression models uncover travel patterns and enhance taxi services for an efficient urban transport experience.

Projects and case studies from my time studying Data Science with USF

Explore my solo Customer Segmentation Project, diving into data analysis, clustering, and visualization. Uncover distinct customer segments for tailored marketing strategies and enhanced engagement. Discover the power of data-driven insights in this independent project.

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.

Welcome to the FIFA Dataset Data Cleaning and Transformation project! This initiative focuses on refining and enhancing the FIFA dataset to ensure it is well-prepared for in-depth analysis. The project involves a comprehensive data cleaning process and transformation of key features to improve data quality and usability.

All the assignments of NLP course

This project delves into comprehensive insights extracted from the Stack Overflow Developer Survey 2022. The dataset provides a rich source of information about developers' demographics, coding experience, compensation, and various aspects of their professional lives.

This is my BrainStation capstone project on music genre classification. I use supervised and unsupervised learning to classify songs into genre based on specific attributes from two Spotify datasets..

This is a Capstone Project which provides an in-depth analysis of the Shakila DVD Rental Store, utilizing Excel, SQL, and Power BI to deliver actionable insights and dynamic dashboard visualization for enhancing business operations and customer experiences in the movie rental industry.