The objective of this project is to discover data analysis and reimplement logistic regression. The model trained will be able to predict the hogwart house for hogwarts students depending on their marks.
This script copies the behaviour of the pandas describe
python describe.py -f Data/dataset_train.csv
python histogram.py -f Data/dataset_train.csv
This script shows similar features (similar distribution).
python scatter_plot.py -f Data/dataset_train.csv
This script shows similar features (correlated).
python pair_plot.py -f Data/dataset_train.csv
This script shows the pair plot of all the features.
python logreg_train.py -f Data/dataset_train.csv
This script trains the model and gives the different cost history for the houses.
python logreg_predict.py -f Data/dataset_test.csv
This script takes the weights of the trained model to predict houses for students. Results are gathered in the file called houses.csv.