Love Data Science and Deep Learning but get confused by all the maths and formulas and just want a simple explanation and set of examples? Me too. So let’s correct that now, shall we?

from sklearn import metricsfrom sklearn.model_selection import train_test_split
from sklearn.datasets import make_regression, make_classification, make_multilabel_classification
from sklearn.preprocessing import LabelEncoder, StandardScaler, MinMaxScaler
import torch
from import Dataset, DataLoader
import torch.optim as torch_optim
import torch.nn as nn
import torch.nn.functional as F
import numpy...

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