A step-by-step guide to building high performing predictive applicationsKey FeaturesUse the Python data analytics ecosystem to implement end-to-end predictive analytics projectsGet up to speed with advanced predictive modeling algorithms with the help of detailed explanationsLearn to present a predictive model's results as an interactive applicationBook DescriptionPredictive analytics is a field of applied analytics that employs a variety of quantitative methods to analyze your data and make predictions. This book guides you through the most important concepts related to predictive analytics.With the help of practical, step-by-step examples, you'll be able to build predictive analytics solutions while using cutting-edge Python tools and packages. You'll learn effectively by defining the problem and then moving on to identifying relevant data. As you advance, you'll get to grips with tasks such as data preparation, exploring and visualizing relationships, building models, and more. You will also work with models such as K-Nearest Neighbors (KNN), random forests, and neural networks using key libraries in Python's data science stack including NumPy, pandas, Matplotlib, and Seaborn. All along, you'll explore useful examples and Python code that will help you grasp the concepts and techniques effectively. In addition to this, you'll gain detailed insights into the core techniques and algorithms used in predictive analytics.By the end of this book, you will be equipped with the skills you need to build high-performance predictive analytics solutions using Python programming.What you will learnGet to grips with the core concepts and principles of predictive analyticsExplore the stages involved in producing complete predictive analytics solutionsUnderstand how to define a problem, propose a solution, and prepare a datasetUse visualizations to explore relationships and gain insights into a datasetUse Keras to build powerful neural network models that produce accurate predictionsBuild regression and classification models using scikit-learnWho this book is forThis book is for data analysts, data scientists, data engineers, and Python developers who want to learn about predictive modeling and are interested in implementing predictive analytics solutions using Python's data stack. Anyone looking to get started in this exciting field will also find this book useful. Proficiency in Python programming and a basic understanding of statistics and college-level algebra are required.Table of ContentsThe Predictive Analytics ProcessProblem Understanding and Data PreparationDataset Understanding - Exploratory Data AnalysisPredicting Numerical Values with Machine LearningPredicting Categories with Machine LearningIntroducing Neural Nets for Predictive AnalyticsModel EvaluationModel Tuning and Improving PerformanceImplementing a Model with Dash
✔ Author(s): Alvaro Fuentes
✔ Title: Hands-On Predictive Analytics with Python: Master the complete predictive analytics process, from problem definition to model deployment
✔ Rating : 4.4 out of 5 base on (30 reviews)
✔ ISBN-10: 178913871X
✔ ISBN-13: 9781789138719
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
Readers' opinions about Hands by Alvaro Fuentes
Beata Shepard
This book completely captured my heart. The characters were so relatable, and their journeys resonated deeply with me. The writing was poetic and powerful, leaving me with a sense of awe. I'm grateful to have experienced this literary gem.
Virginia Savage
The depth of character development was astounding. I felt like I knew each person intimately, understanding their hopes, fears, and dreams. It made the story so much more meaningful.
Laura Hill
The way the author handled complex emotions and relationships was remarkable. I felt deeply connected to the characters, and their growth throughout the story was both inspiring and moving.
