Skip to content

Making Predictions with Data and Python [Video]


Packt Publishing

Summary

Price
£123.58 inc VAT
Or £41.19/mo. for 3 months...
Study method
Online
Duration
4 hours · Self-paced
Qualification
No formal qualification

Overview

Build Awesome Predictive Models with Python.

Video Description

Python has become one of any data scientist's favorite tools for doing Predictive Analytics. In this hands-on course, you will learn how to build predictive models with Python.

During the course, we will talk about the most important theoretical concepts that are essential when building predictive models for real-world problems. The main tool used in this course is scikit -learn, which is recognized as a great tool: it has a great variety of models, many useful routines, and a consistent interface that makes it easy to use. All the topics are taught using practical examples and throughout the course, we build many models using real-world datasets.

By the end of this course, you will learn the various techniques in making predictions about bankruptcy and identifying spam text messages and then use our knowledge to create a credit card using a linear model for classification along with logistic regression.

Style and Approach

This course introduces the main concepts, techniques, and best practices for doing Predictive Analytics with Python. Using an example-based approach, it covers all the stages in the process of building predictive models with Python. By the end of the course you will be able to build Predictive Analytics models using real-world data.

Description

What You Will Learn

  • Understand the main concepts and principles of Predictive Analytics and how to use them when building real-world predictive models.
  • Properly use scikit-learn, the main Python library for Predictive Analytics and Machine Learning.
  • Learn the types of Predictive Analytics problem and how to apply the main models and algorithms to solve real world problems.
  • Build, evaluate, and interpret classification and regression models on real-world datasets.
  • Understand Regression and Classification
  • Refresh your visualization skills

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.

Reviews

Currently there are no reviews for this course. Be the first to leave a review.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.