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.

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.

"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."

Data analytics projects done at trainity throughout my 8week training

Airbnb price prediction with machine learning models using Amsterdam dataset.

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.

The main objective of the Zometo Data Analysis project was to explore and analyze the Zometo dataset to gain meaningful insights into user behavior, product performance, and other relevant factors. By leveraging data analytics techniques, we aimed to uncover patterns, trends, and correlations with the data, ultimately providing valuable information

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.

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.

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..

Power Outage Data Analysis in USA

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.