import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))

!pip install jovian --upgrade --quiet

# Imports
import torch
import jovian
import torchvision
import torch.nn as nn
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import torch.nn.functional as F
from torchvision.datasets.utils import download_url
from torch.utils.data import DataLoader, TensorDataset, random_split

# Hyperparameters
batch_size=64
learning_rate=1e-5


# Other constants
DATASET_URL = "/kaggle/input/housing.csv"
DATA_FILENAME = "housing.csv"
TARGET_COLUMN = 'ocean_proximity'
input_size=9
output_size=1