Book Image

Data Analysis with Python [Video]

By : Marco Bonzanini
Book Image

Data Analysis with Python [Video]

By: Marco Bonzanini

Overview of this book

<p>Python is a popular programming language ,widely used in many scenarios and easy to use to use. Data Science is an interdisciplinary field that employs techniques to extract knowledge from data. As one of the fast growing fields in technology, the interest for Data Science is booming, and the demand for specialized talent is on the rise.</p> <p>This course introduces the audience to the field of Data Science using Python tools to manage and analyze data. You can learn some of the fundamental tools of the trade and apply them to real data problems. And along the way it discusses the use of Python stack for data analysis and scientific computing, and expands on concepts of data acquisition, data cleaning, data analysis and machine learning.</p> <h1>Style and Approach</h1> <p>A fun and friendly course packed with step by step instructions, it shows you how to get up and running with Python virtual environments using Conda. This course is divided into clear chunks so you can learn at your own pace.</p> <p>We’ll discuss the creation and management of different environment, how to install Python packages for Data Science and how to use Jupyter notebooks as development tool.</p>
Table of Contents (4 chapters)
Chapter 4
Exercise – Titanic Survivor Analysis
Content Locked
Section 2
Predicting Titanic survival – A Supervised Learning Problem
This video introduces some concepts of machine learning and in particular, of supervised learning (classification), including how to evaluate a classification system. The aim of this video is to learn how to frame a prediction problem using the Titanic disaster data set. - Understand the basic concepts of machine learning - Frame a supervised learning problem - Understand how to evaluate the quality of a classification system