This is the code repository for Machine Learning Solutions, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

Machine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job.

You’ll encounter a set of simple to complex problems while building ML models, and you'll not only resolve these problems, but you’ll also learn how to build projects based on each problem, with a practical approach and easy-to-follow examples.

All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

The code will look like the following:

from __future__ import print_function
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

You need minimum 8 GB of RAM to run the applications smoothly. If you can run code on GPU, then it would great; otherwise you can use pre-trained models. You can download pre-trained models using the GitHub link or Google drive link. The links are speci fi ed in the chapters

• Ensemble Machine Learning using R

• Machine Learning Algorithms - Second Edition

• Machine Learning with the Elastic Stack

Click here if you have any feedback or suggestions.