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✨ Hogwarts Housing with Logistic Regression ✨

hat.gif

In this notebook I tried to implement a Sorting Hogwarts Hat with Logistic Regression for Harry Potter characters based on their features.

Don't talk the talk, but walk the walk :)

Let's start!

# Uncomment and run the commands below if imports fail
!conda install numpy pytorch torchvision cpuonly -c pytorch -y
!pip install matplotlib --upgrade --quiet
!pip install jovian --upgrade --quiet
Collecting package metadata (current_repodata.json): done Solving environment: done ==> WARNING: A newer version of conda exists. <== current version: 4.8.2 latest version: 4.8.3 Please update conda by running $ conda update -n base conda # All requested packages already installed.
!pip install pandas seaborn sklearn
Requirement already satisfied: pandas in /srv/conda/envs/notebook/lib/python3.7/site-packages (1.0.4) Requirement already satisfied: seaborn in /srv/conda/envs/notebook/lib/python3.7/site-packages (0.10.1) Requirement already satisfied: sklearn in /srv/conda/envs/notebook/lib/python3.7/site-packages (0.0) Requirement already satisfied: pytz>=2017.2 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas) (2020.1) Requirement already satisfied: numpy>=1.13.3 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas) (1.18.4) Requirement already satisfied: python-dateutil>=2.6.1 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from pandas) (2.8.1) Requirement already satisfied: scipy>=1.0.1 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from seaborn) (1.4.1) Requirement already satisfied: matplotlib>=2.1.2 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from seaborn) (3.2.1) Requirement already satisfied: scikit-learn in /srv/conda/envs/notebook/lib/python3.7/site-packages (from sklearn) (0.23.1) Requirement already satisfied: six>=1.5 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas) (1.15.0) Requirement already satisfied: cycler>=0.10 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib>=2.1.2->seaborn) (0.10.0) Requirement already satisfied: kiwisolver>=1.0.1 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib>=2.1.2->seaborn) (1.2.0) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from matplotlib>=2.1.2->seaborn) (2.4.7) Requirement already satisfied: joblib>=0.11 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from scikit-learn->sklearn) (0.15.1) Requirement already satisfied: threadpoolctl>=2.0.0 in /srv/conda/envs/notebook/lib/python3.7/site-packages (from scikit-learn->sklearn) (2.1.0)
# Imports
import torch
import jovian
import torchvision
import torch.nn as nn
import matplotlib.pyplot as plt
import torch.nn.functional as F
import torchvision.transforms as transforms
from torchvision.datasets import MNIST
from torch.utils.data import random_split
from torch.utils.data import DataLoader, TensorDataset
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns