Used Pandas and Python plotting libraries - Matplotlib & Bokeh to analyze and visualize data of a clinical trial to test four potential treatment drugs and their possible effects on tumor volume, metastasis and survival rate | UT Data Analysis and Visualization Nov 2019 - May 2020

Deep Learning with StarCraft 2 against computer player at Medium level. 2019 build and working on newer Algorithms

Python project where the 'A Start Search' algorithm and a simulation of the agent's path with animations were implemented.

Ported Xolm2 VSU

SpaceX launches data analysis with Python - 2022.

Лабки для НУ "Львівська Політехніка"

Python application I made in college, receives 2 functions and graphs them

Cleaning, organizing, and analyzing large data sets and obtaining desired output using Python Libraries

Build Regression models to predict the sales

demonstrate how to use GitHub

A GUI for creating simple scientific dataplots with Mathplotlib. Multiple axis labeling supported.

Planteo y resolución de ejercicio sobre Series de Fourier

Statistics exercise of Frankfurt university

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python…

Unlock valuable data insights with Sales Analysis, a project focused on analyzing sales data to identify trends, patterns, and recommendations for enhancing customer experience and increasing sales.

Data Analysis and Visualization with Python Pandas, NumPy, SciPy and Matplotlib

we have analyses the data in that region how it behaves all this using the python as by the concept of Visualization Wheel Dimensions by alberto cairo

This project is an app that sorts through historical trade data for Bitcoin on two exchanges: Bitstamp and Coinbase. I then apply the three phases of financial analysis to determine if any arbitrage opportunities existed for Bitcoin.

An interactive movie recommendation system that uses the MovieLens 100K dataset, providing personalized movie suggestions and visualizing user ratings and top recommendations.