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

machine learning à partir du dataset titanic

In this project, we created an 'expected goals' metric to help us assess a team's performance rather than the actual number of goals scored. We merged this metric with the calculation of a team's offensive and defensive ratings, which are updated after every game, to create a classification model that predicts the outcome of future matches, as w…

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.

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.

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

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

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

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

A python script to convert any image to a MissingNo like sprite

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.

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.

This Project is about performing EDA on house prices dataset.

OpenClassrooms Data Analyst 2022-2023 - Projet 5

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