Packt Publiching – Advanced Predictive Techniques with Scikit-Learn and TensorFlow

Packt Publiching – Advanced Predictive Techniques with Scikit-Learn and TensorFlow
English | Size: 910.35 MB
Category: Tutorial

This course presents some of the most advanced Predictive Analytics tools, models, and techniques currently having a big impact on every industry. The main goal is to show the viewer how to improve the performance of predictive models-firstly, by showing how to build more complex models and secondly, by showing how to use related techniques that dramatically improve the quality of predictive models.
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Packt Publishing – Pandas for Predictive Analysis using scikit-learn

Packt Publishing – Pandas for Predictive Analysis using scikit-learn
English | Size: 334.04 MB
Category: Tutorial

In this course we learn that stand alone data analysis is fine but what most companies these days are looking for is to do Predictive analysis using their data. In this advanced course, we will make you ready to start doing Predictive Analysis on your data by showing you how to build Machine Learning models with scikit-learn and pandas.
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Lynda – The Essential Elements of Predictive Analytics and Data Mining

Lynda – The Essential Elements of Predictive Analytics and Data Mining
English | Size: 394.35 MB
Category: CBTs

A proper predictive analytics and data-mining project can involve many people and many weeks. There are also many potential errors to avoid. A "big picture" perspective is necessary to keep the project on track. This course provides that perspective through the lens of a veteran practitioner who has completed dozens of real-world projects. Keith McCormick is an independent data miner and author who specializes in predictive models and segmentation analysis, including classification trees, cluster analysis, and association rules. Here he shares his knowledge with you. Walk through each step of a typical project, from defining the problem and gathering the data and resources, to putting the solution into practice. Keith also provides an overview of CRISP-DM (the de facto data-mining methodology) and the nine laws of data mining, which will keep you focused on strategy and business value. [Read more…]