machine learning à partir du dataset titanic
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Updated
Jan 29, 2020 - Jupyter Notebook
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
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.
Capstone _EDA_on Global terrorism data
Exploratory and explanatory analysis of a small, generated dataset. pandas + missingno + seaborn.
OpenClassrooms Data Analyst 2022-2023 - Projet 9
Exploratory Data Analysis
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
An advanced data analysis on Traffic Accidents by using dataset by OPENML
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.
Exploratory Data Analysis and Data Cleaning on a Amazon E-Commerce Dataset
OpenClassrooms Data Analyst 2022-2023 - Projet 5
Add a description, image, and links to the missingno topic page so that developers can more easily learn about it.
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