Data Science with Python: Combine Python with machine learning principles to discover hidden patterns in raw data

✍ Scribed by Chopra, Rohan;England, Aaron;Alaudeen, Mohamed Noordeen

• Publisher: Packt Publishing
• Year: 2019
• Tongue: English
• Leaves: 426
• Category: Library

✦ Synopsis

Leverage the power of the Python data science libraries and advanced machine learning techniques to analyse large unstructured datasets and predict the occurrence of a particular future event.

Key Features

Explore the depths of data science, from data collection through to visualization

Learn pandas, scikit-learn, and Matplotlib in detail

Study various data science algorithms using real-world datasets

Book Description

Data Science with Python begins by introducing you to data science and teaches you to install the packages you need to create a data science coding environment. You will learn three major techniques in machine learning: unsupervised learning, supervised learning, and reinforcement learning. You will also explore basic classification and regression techniques, such as support vector machines, decision trees, and logistic regression.

As you make your way through chapters, you will study the basic functions, data structures, and...

✦ Table of Contents

Table of ContentsPrefaceIntroduction to Data Science and Data PreprocessingData VisualizationIntroduction to Machine Learning via Scikit-LearnDimensionality Reduction and Unsupervised LearningMastering Structured DataDecoding ImagesProcessing Human LanguageTips and Tricks of the Trade