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4 years ago
import torch
import jovian
import torchvision
import torch.nn as nn
import pandas as pd
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
DATASET_URL = "https://hub.jovian.ml/wp-content/uploads/2020/05/insurance.csv"
DATA_FILENAME = "insurance.csv"
download_url(DATASET_URL, '.')
Using downloaded and verified file: .\insurance.csv 
dataframe_raw = pd.read_csv(DATA_FILENAME)
dataframe_raw.head()
your_name = 'Ankur'
def customize_dataset(dataframe_raw, rand_str):
    dataframe = dataframe_raw.copy(deep=True)
    # drop some rows
    dataframe = dataframe.sample(int(0.95*len(dataframe)), random_state=int(ord(rand_str[0])))
    # scale input
    dataframe.bmi = dataframe.bmi * ord(rand_str[1])/100.
    # scale target
    dataframe.charges = dataframe.charges * ord(rand_str[2])/100.
    # drop column
    if ord(rand_str[3]) % 2 == 1:
        dataframe = dataframe.drop(['region'], axis=1)
    return dataframe