machine learning à partir du dataset titanic

En este proyecto se verá métodos avanzados para manejar los datos faltantes de manera más eficiente

Analyzing of local and global temperature data and comparing the temperature trends with a residence to overall global temperature trends.

📈 Data Science Using Python

Capstone _EDA_on Global terrorism data

Este espaço é dedicado para treinar minhas habilidades em ciência de dados, concentrando-se principalmente no aproveitamento da biblioteca Pandas para manipulação e análise de dados.

Exploratory and explanatory analysis of a small, generated dataset. pandas + missingno + seaborn.

Exploratory Data Analysis and Data Cleaning on a Amazon E-Commerce Dataset

OpenClassrooms Data Analyst 2022-2023 - Projet 9

Came across the missingno library. Made a couple of Jupiter notebooks to see how it works and what I can use it for at work.

Student's projects in Yandex. Praktikum (Yandex educational platform)

Exploratory Data Analysis

In the real world, a dataset with no missing values doesn't exist...So in this notebook, we explore different ways of dealing with it.

OpenClassrooms Data Analyst 2022-2023 - Projet 5

This Project is about performing EDA on house prices dataset.

A classification approach to the machine learning Titanic survival challenge on Kaggle.Data visualisation, data preprocessing and different algorithms are tested and explained in form of Jupyter Notebooks

ML model created to predict the online news popularity

EDA for more than 30K game ratings collected from [IGDB API](https://api-docs.igdb.com/#about) using [igdb-api-v4 for python](https://github.com/twitchtv/igdb-api-python). This notebook explores any common trends for games that have ratings from igdb and external critics.