Hands-On Predictive Analytics with Python
This book will teach you all the processes you need to build a predictive analytics solution: understanding the problem, preparing datasets, exploring relationships, model building, tuning, evaluation, and deployment. You'll earn to use Python and its data analytics ecosystem to implement the main techniques used in real-world projects.
Offered by
Difficulty Level
Intermediate
Completion Time
11h
Language
English
About Book
Who Is This Book For?
This book is for data analysts, data scientists, data engineers, and Python developers who want to learn about predictive modeling and would like to implement predictive analytics solutions using Python's data stack. People from other backgrounds who would like to enter this exciting field will greatly benefit from reading this book. All you need is to be proficient in Python programming and have a basic understanding of statistics and college-level algebra.
Hands-On Predictive Analytics with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h total length
The Predictive Analytics Process
Problem Understanding and Data Preparation
Dataset Understanding - Exploratory Data Analysis
Predicting Numerical Values with Machine Learning
Predicting Categories with Machine Learning
Introducing Neural Nets for Predictive Analytics
Model Evaluation
Model Tuning and Improving Performance
Implementing a Model with Dash
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