2.1 Introduction

import pandas as pandas
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
 
from sklearn.ensemble import RandomForestClassifier
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import confusion_matrix, classification_report
from sklearn.preprocessing import StandardScaler, LabelEncoder
from sklearn.model_selection import train_test_split
%matplotlib inline

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Contents §

Basic data analysis: Numpy Pandas Data visualisation Matplotlib ML Models Scipy Deep Learning Models Pytorch Tensor Flow

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How do Python libraries like numpy, pandas, and scikit-learn work together in a machine learning project? Can you describe a scenario where you might use all three? §