Discover a highly effective roadmap that guides you to become a Data Scientist within a span of 3 months.
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Updated
May 29, 2023
Discover a highly effective roadmap that guides you to become a Data Scientist within a span of 3 months.
Analyzes housing data from Beijing city
Investigating the relationship between various socioeconomic factors and student academic performance in public schools.
Análise Exploratória de Dados utilizando a biblioteca Sweetviz no Google Colab
Análise de dados de uma playlist minha do Spotify (2020 à 2022); revelando insights sobre as músicas, artistas e gêneros dessa playlist. Exploro visualizações, desde nuvens de palavras até gráficos interativos. 🎶 📊
Welcome to the "Olympic Data Analysis" project! This data analysis project offers a comprehensive analysis of Olympic data, providing insights into medal tallies, participating nations, athletes, and more. The project is deployed on the Render cloud platform for easy access. 🎉
Проекты, сделанные мной во время обучения в Томском государственном университете и для конкурса Yandex DataLens
Nestes Tutoriais o leitor terá acesso aos principais e mais utilizados comandos para uma boa análise, preparação e visualização de dados.
Healthcare provider fraud detector is a classification machine learning project to predict the potential fraudulent providers based on the healthcare claims filed.
Classification of galaxies with unsupervised and supervised learning
Projeto para a faculdade utilizando uma base de dados e montando gráficos com pandas e outros
Atividades referentes ao Avante Bootcamp de Ciência de Dados.
Penguins Exploratory Data Analysis (EDA)
A Data Analysis Repository is an organized collection of code, datasets, documentation, and visualizations designed to systematically explore, process, and derive insights from data. It serves as a centralized hub for reproducible analysis and collaboration.
Repo to derive insights from data collected during MOCK PLACEMENTS (2021)
This Python project involves creating a basic Movie Recommender System using Pandas. We'll explore collaborative and content-based filtering methods to suggest movies similar to a user's choice. By leveraging Python and Pandas, we import and manipulate the dataset & enhance user experience.
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