Scripts for parsing websites

Python projects can be found in this repository

This function shows the current bitcoin value in dollars and it updates every 5 seconds using requests, matplotlib.pyplot, and matplotlib.animation libraries.

Uses the Julia Fractal Sets

Quantifying Integrity in the Digital Age Misinformation spreads rapidly, accountability often falters, and the lines between transparency and manipulation blur

A personal collection of code notes, use cases, and best practices organized by topics for quick reference.

A Time Series Analysis using SARIMA to forecast house prices in the San Antonio metropolitan area. We will forecast 3 - 5 years into the future to recommend the top zip codes to invest in.

Лабораторная работа: Основы обработки данных с помощью Pandas

Built a Linear Regression model to predict housing prices using Python, Pandas, and scikit-learn. Includes preprocessing, model evaluation, and visualizations.

This project was part of my Crash course on Python by Google Course.

Exploratory Data Analysis of a survey of alcohol consumption among students taking mathematics courses in secondary schools in Portugal.

A data analysis project using Python to explore, visualize, and understand trends in Netflix's global content catalog — from genres and durations to ratings, release years, and countries.

Python is a programming language that lets you work more quickly and integrate your systems more effectively. Python is used for web development, AI, machine learning, operating systems, mobile application development, and video games.

Рабочий проект: расчет добротности нанофотонного резонатора на основе нитрида кремния

Hotel Booking Cancellation Analysis

About Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.

BalanceCar Monitor.

Practising Machine Learning. This repository is created for personal use where I can bookmark and keep all my notebooks, notes, bookmarked links, etc. Anyone who is a beginner in ML can refer to it and feel free to fork or open issues.

The Air Data Analysis Project explores aviation data from air.csv to uncover trends in flight delays, airline performance, and passenger flow using Python. It features data cleaning, visualizations, and actionable insights through tools like Pandas, Matplotlib, and Seaborn.