matplotlib

This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.

This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.

Praktisi Mengajar 2024 Teknik Informatika Universitas Nusa Putra

A library to help us make waterfall plots.

Creation of a trading robot for data analysis and manipulation of the libraries Pandas, Numby, MatplotLib, Yfinance, Seaborn

My approach on solving mathemetical modeling labs (university course)

Code from mechanic physics labs (university course)

My attempts to solve homework from the Moscow Institute of Physics and Technology course

All left code from labs 1-3 years(university studing)

Raw project code to complete labs of statistical radiophysics (university course)

Collection of completed data-mining (university course) on python

Simple raw code templates that used for create real size plots for semiconductor labs (university course)

Final project of course ML junior by Skillbox. Goal: Build model to predict client's loan default. Metrics: ROC-AUC

Project to evaluate the results and performance of the clustering and rescheduling algorithms for the Social Internet of Energy. Related scientific manuscripts: https://ieeexplore.ieee.org/abstract/document/8784194 https://www.mdpi.com/1424-8220/20/13/3704

Project to evaluate the results and performance of the clustering and rescheduling algorithms for the Social Internet of Energy. Related scientific manuscripts: https://ieeexplore.ieee.org/abstract/document/8784194 https://www.mdpi.com/1424-8220/20/13/3704

La junta directiva de la cadena de supermercados Universal Food ha observado una estabilización en sus ventas y busca comprender cómo mejorar la relación con sus clientes, entendiendo sus hábitos de compra, para ofrecerles un servicio de mayor calidad. El objetivo es proporcionarles una experiencia de compra más personalizada, rápida y efectiva.

Trabajas como científico/a de datos para Data Insider, un reconocido equipo de asesores financieros con presencia global, y te ha sido solicitado que elabores un informe detallado para entender de manera objetiva el comportamiento de grandes corporaciones a nivel mundial a partir del año 2015.

School project. made a predicter for the next year app sales on google play.