nathaniafernandes Goto Github PK

amazon-web-scraping

Developed a web scraping tool using Python's BeautifulSoup library to extract essential product data from Amazon.

k-means-clustering

Implemented K Means Clustering on an Iris dataset to predict the optimum number of clusters and represent it visually.

new-york-taxi-fare-prediction

Conducted EDA, streamlined data preprocessing with a pipeline, applied imputation, feature engineering, and scaled numerical columns. Employed regression methods, performed hyperparameter tuning, and selected XGBoost in the pipeline, achieving an R2 score of 0.9622.

odd-even-streamlit

quantifiedselfapp

The purpose of this app is for the user to track habits, activities, other life parameters etc.. Each user can have multiple trackers. This has been implemented using Python (Flask), HTML and CSS, etc.. The data has been stored using SQLite. The user can perform all CRUD (create, read, update and delete) operations on a tracker and each log.

sales-prediction

Built a Machine Learning Model to predict the sales for which a 73.82% accuracy was achieved. Multiple Linear Regression, Python and Excel were made use of.

ticket-booking-platform

This project is a multi-user ticket booking platform for booking show tickets for various movies. It includes features such as user signup and login, admin management, theatre and show management, booking show tickets, search for shows/theatres, backend jobs for export, reporting, and alerts, as well as caching for performance enhancement.