dslr

Datascience X Logistic Regression

Harry Potter and a Data Scientist

Introduction • How To Use • Description • About 42 Cursus • Related • License

Introduction

How To Use

To clone and run this project, you'll need Git, Python installed on your computer. From your command line:

# Clone this repository via HTTPS
$ git clone https://github.com/ArthurCrespy/dslr
# OR clone this repository via SSH
$ git clone git@github.com:ArthurCrespy/dslr.git

# Go into the repository
$ cd dslr/files

# Train the model
$ logreg_train.py datasets/dataset_train.csv

# Output the results 
$ logreg_predict.py datasets/dataset_test.csv
$ cat houses.csv

Description

The project, "DataScience X Logistic Regression: Harry Potter and a Data Scientist," tasks participants with building a logistic regression-based classifier to restore the magical Sorting Hat and classify Hogwarts students into their respective houses. It involves exploratory data analysis, custom data visualization (histograms, scatter plots, pair plots), and the implementation of a multi-class logistic regression model using gradient descent.

About 42 Cursus

IA project. Advanced version of ft_linear_regression!

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License

For now, all rights are reserved.

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Github @Thur' | LinkedIn @Arthur Crespy | Instagram @crespyarthur