RobMulla

#!/usr/bin/env python3
# ==============================================================================
# Cloud TPU - Cross-Platform General Diagnostic & Quota Verification Utility
# ==============================================================================
# Run this script in Google Cloud Shell or in any terminal authenticated with gcloud.
# Compatible with Linux, macOS, and Windows. Requires only Python 3.6+.
# ==============================================================================

import os
import sys

RobMulla

# TQDM: Python progress bar tutorial
# Youtube Video: https://www.youtube.com/watch?v=n4E7of9BINo

import pandas as pd
import numpy as np
from time import sleep
from tqdm import tqdm, trange

# Create Fake Data
dogs = np.random.choice(['labradoodle','beagle','mutt'], size=50_000)

RobMulla

import pandas as pd
import numpy as np

def get_dataset(size):
    # Create Fake Dataset
    df = pd.DataFrame()
    df['size'] = np.random.choice(['big','medium','small'], size)
    df['age'] = np.random.randint(1, 50, size)
    df['team'] = np.random.choice(['red','blue','yellow','green'], size)
    df['win'] = np.random.choice(['yes','no'], size)

RobMulla

import pandas as pd
import numpy as np

def get_dataset(size):
    df = pd.DataFrame()
    df['position'] = np.random.choice(['left','middle','right'], size)
    df['age'] = np.random.randint(1, 50, size)
    df['team'] = np.random.choice(['red','blue','yellow','green'], size)
    df['win'] = np.random.choice(['yes','no'], size)
    df['prob'] = np.random.uniform(0, 1, size)