Stats-Mosaic-Streamlit is a comprehensive GitHub repository that aims to provide a growing collection of curated content and projects centered around statistics and its intersection with data science, machine learning, and artificial intelligence.
Data Exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics, and points of interest.
API backend to deploy a machine learning model to the web
Analyze house price data using univariate, bivariate, and multivariate analysis.
My solutions for the practical work of the Data Analysis (Analyse de données - AD) module in my 3rd year of state engineering studies at ENSTTIC
This file provides data visualization using Python libraries and offers business moment decision examples.
I performed multiple machine learning models as classifiers to decide whether mushrooms are edible. In this project, I also performed tailored aggregation, plotting, and encoding as Exploratory Data Analysis with bivariate approach.
Add a description, image, and links to the bivariate-analysis topic page so that developers can more easily learn about it.
To associate your repository with the bivariate-analysis topic, visit your repo's landing page and select "manage topics."