Predictive Analytics: The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining, Predictive Modelling, Statistics, Data Analysis, and Machine Learning

by Richard Hurley

If you want to learn about predictive analytics without having to read a boring textbook, then keep reading... Companies are collecting more data from ever. With the ease of collecting all that data, all the different sources where you can receive the data, and the inexpensive storage, it makes sense to collect as much data as possible. But without a good analysis of that data, and without some time to really figure out what trends and insights are inside all of it, that data becomes worthless. This is where predictive analytics is going to come in handy. You will be able to actually take all of the data that you have been collecting and storing, and see what insights are in there to lead some of your business decisions in the future. This guidebook is going to look at predictive analytics, and some of the topics we will explore concerning this topic The basics of predictive analysis.How to predict events that are going to happen in the future with big data and data mining.How to predict events that are going to happen in the future with the help of data analysis and statistics.A look at machine learning and how this process can help make predictions.How to avoid prediction traps, avoid bias, and make the best decisions with this analysis.Some of the top reasons to implement this kind of analysis in your business.The steps you can take to create your own predictive analysis model.And much, much more!Working on predictive analytics is going to be one of the best ways that your business can use the data you have to look more deeply inside, and sort through the different predictions you can make. Click the "add to cart" button to start your learning!

93 pages, Kindle Edition

Published December 31, 2019

Reviews

[Jonathan Pavan · Rating 3 out of 5]

There were some interesting takeaways. With that being said, I found this book a bit too high level. Some points were repeated throughout chapters, also there was also grammar errors like random numbers or missing periods throughout the book.

[Aman Aggarwal · Rating 5 out of 5]

Good book

For beginners it's a good book. Step by step guide to everything that one should know before get into ML coding.