书名: Python:Advanced Predictive Analytics作者名: Ashish Kumar Joseph Babcock本章字数: 27字更新时间: 2021-07-02 20:09:19 Part 1. Module 1 Learning Predictive Analytics with Python Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with ...
You can use non-parametric distribution fitting, parametric distribution fitting, or parametric regression modeling SPSS predictive analytics algorithms in notebooks. Non-Parametric Distribution Fitting Survival analysis analyzes data where the outcome variable is the time until the occurrence of an event of...
Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark鈥攁 ML framework from the Apache foundation. By implementing Spark, ...
Build new predictive models using a variety of machine-learning algorithms such as simple and deep neural networks, decision trees, GLM/GAM, and text mining. Import ready-to-use models built using popular open-source data science languages like R and Python.Learn More Measure and Monitor Perform...
In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics.By the end of this book, you will be all set to build high-performance predictive analytics solutions using Python programming. ...
This is a book about predictive analytics, but rather than focusing exclusively on explaining in detail the algorithms and techniques, this book is more about the process of doing predictive analytics in the real world. The main goal of this book is to make you familiar with all the stages ...
How to build models with Python and its data science ecosystem is the subject of the majority of this book. We will take a look at different approaches: machine learning, deep learning, Bayesian statistics. After trying different approaches, types of models, and fine-tuning techniques, at the...
Predictive analytics helps to predict the likelihood of a future outcome by using various statistical and machine learning algorithms. It is based on many probabilities, thus not always 100% accurate. To make predictions, algorithms consider data and fill in the missing data with best possible guess...
functions that visualize matrices of data and use clustering algorithms to discover structure in those matrices, a function to plot statistical time series data with flexible estimation and representation of uncertainty around the estimate, and high-level abstractions for structuring grids of plots that ...
Mastering IoT Security and Predictive Analytics with Python, is designed to equip you with the essential skills to secure IoT infrastructures, perform advanced data analytics, and build predictive models. Through a comprehensive curriculum covering IoT security fundamentals, device and network security, se...