pandas

Jupyter notebook to pull data from the FPL website, specifically made for H2H Draft Leagues.

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.

Project for E-commerce. Product analysis, cohort analysis, RFM analysis in Python.

Notebooks for Pandas, Spark and Python experiments.

Plática "Olvidate de Excel, bienvenido pandas" en Nerdearla México 2024 del 2024-11-07. https://nerdear.la/en/agenda/olvidate-de-excel-bienvenido-pandas/

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 project to develop a non-invasive, AI-powered system for detecting lung cancer associated with combustion particles and fine particulate matter (PM2.5).

В данном репозитории находятся два проекта, демонстрирующие работу c данными в Python и на SQL, а также использование специализированных библиотек для статистических расчетов и визуализации данных, в Jupiter Notebook.

Исследовательский анализ данных. Project for E-commerce. Product analysis, cohort analysis, RFM analysis in Python.

Various examples of some data analysis exercises.

This Car Prediction Project aims to predict v price, using Regression models. The project contains a collection of data files, model files, and Python scripts necessary for training and deploying car prediction Price models. This project encompasses a comprehensive set of data files, serialized models, and Python scripts necessary for training, evaluating, and deploying car price prediction models.

I created this project to show how to obtain a table from a website, process the data and then send it to Kaggle.

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

Vamos a contruir un Chatbot Inteligente capaz de interpretar el lenguaje humano y generar respuestas coherentes con tu propia información

Code from mechanic physics labs (university course)

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