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A Straightforward Introduction To Machine Learning With Python Implementation by Md. Akramul Hossain is a nonfiction available to read on EtoBox.

What is A Straightforward Introduction To Machine Learning With Python Implementation about?

An easy and step by step implementation of machine learning problem is shown in python. You will find 6 machine learning problems and their step by step solutions. Among 6 problems, 4 are supervised learning problems and 2 are unsupervised learning problems. There are 2 problems taken kaggle competitions to get started as beginners. The 6 problems are listed below: Prediction on iris plants dataset (data is taken from sklearn.datasets.load_iris()) California Housing dataset (data is taken from (sklearn.datasets.fetch_california_housing()) Titanic – Machine Learning from Disaster (kaggle link : https://www.kaggle.com/c/titanic) House Prices Advanced Regression Techniques (kaggle link : https://www.kaggle.com/c/house-prices-advanced-regression-techniques ) An artificial dataset made by sklearn.datasets.make_blobs() to understand unsupervised learning Market basket analysis (kaggle link : https://www.kaggle.com/vjchoudhary7/customer- segmentation-tutorial-in-python ) In chapter 1, some basic machine learning concepts is defined easily. In chapter 2, popular used python libraries is introduced. How to install, how to use etc. In chapter 3, Implementation of ML classification technique

Who reads A Straightforward Introduction To Machine Learning With Python Implementation?

Author

Md. Akramul Hossain

Publisher

John Wiley & Sons, Incorporated

Published

1973

Language

EN

ISBN

9780471223610

Category

nonfiction

Subjects

Computer Science, Science, Engineering

Rating

5 / 5 (2 ratings)

Updated

2026-03-14