pandas

Training various machine learning models for NFLX stock price prediction with data collection, cleaning, and visualization tools.

Performed Exploratory Data Analysis (EDA) on the Google Play Store dataset using Python. Leveraged pandas for data cleaning and matplotlib for visualizations to analyze categories, ratings, installs, pricing, and update frequency. Created clear charts and dashboard-style visuals to uncover trends driving app popularity and user satisfaction.

A introductory course created to teach students basic processes for Data Analysis and Data Science.

This repo will have all resources, labs, data which I use/d on Kaggle Network

This project is a comprehensive collection of 30 practical Pandas assignments, covering a wide range of real-world data analysis, cleaning, and manipulation tasks.

Repositorio que analiza problemáticas ambientales, sociales y administrativas en México, con un enfoque en el uso de datos, validación estructural y análisis geoespacial.

Praktisi Mengajar Teknik Informatika Universitas Nusa Putra 2024

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

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.

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.

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.