a web scraping project gathering data from wikipedia about the impact of the COVID-19 pandemic on education, transforming it then conducting exploratory analysis

Access the parent Pandas data frame in loc[], iloc[], assign(), and others Pandas helpers

This project provides a comprehensive framework for evaluating classification models and selecting the best algorithm based on performance metrics. It demonstrates the importance of hyperparameter tuning and model comparison in machine learning workflows.

This project provides a comprehensive guide to implementing PCA from scratch and validating it using scikit-learn's implementation. The visualizations help in understanding the data's variance and the effectiveness of dimensionality reduction.

Those with a strong interest in machine learning and data science should use this repository. I have coded step-by-step with machine learning and data science learners.

Library to work with large data sets

A feature-rich Python calendar that enables time series analyses of changes in federal workforce schedules and shifts in executive department funding status.

SmashCast - Weather-Driven Badminton Play Predictor

Python Phishing URL Detection

ss.lv web scraping app helps automate information scraping and filtering from classifieds and emails results and stores scraped data in database

This GitHub repository contains Python code for data analysis and population prediction in the Czech Republic up to the year 2050. The code is written in Python and utilizes the Pandas and Matplotlib libraries.

The objective of this project is to examine a user's screen usage through Python, with a focus on identifying the applications and websites they utilize and the duration of usage. The project employs a range of libraries including pandas, numpy, plotly.express, and plotly.graph_objects for data processing, visualization, and analysis purposes.

This app is not for weight loss. It was designed to raise awareness of everyday consumption, which has proven long-term consequences. The food data frame was sourced from data.gov, and the recommendation data frame is based on US National Library of Medicine publications. Enjoy and stay healthy!

STUDY ON PROCESSING BRAIN SIGNALS USING EEG SENSOR BY MACHINE LEARNING

Part of a project to evaluate the Rust bindings for the Godot Engine (gdext)

Create Flask Dashboard

Python program that cleans stock market data to prep it for machine learning

NLP Sentiment Analysis & Similarity Comparison of an Amazon Product Reviews Dataset

Python-based School Management System: Effortlessly manage student and teacher accounts, enrollments, grades, and generate insightful reports for effective educational administration.