Mastering Probability and Statistics in Python: Statistical and Probability foundations for ML: Statistics, Probability, and Bayes' Classifier

AI Sciences OU

AI Sciences

€8.99 ~~€87.99~~

Video Jun 2021 12hrs 30mins 1st Edition

AI Sciences OU

AI Sciences

€8.99 ~~€87.99~~

Video Jun 2021 12hrs 30mins 1st Edition

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Key benefits

Easy explanations, yet complete and comprehensive course
Fundamental, pythonic, and a complete course to master the important concepts used in data science
Practical with live coding of the implementation of the concepts learned theoretically

Description

In today’s ultra-competitive business universe, probability and statistics are the most important fields of study. That is because statistical research presents businesses with the data they need to make informed decisions in every business area, whether it is market research, product development, product launch timing, customer data analysis, sales forecast, or employee performance. But why do you need to master probability and statistics in Python? The answer is that an expert grip on the concepts of statistics and probability with data science will enable you to take your career to the next level. This course is designed carefully to reflect the most in-demand skills that will help you in understanding the concepts and methodology with regard to Python. The course is as follows: Easy to understand Expressive Comprehensive Practical with live coding About establishing links between probability and machine learning By the end of this course, you will be able to relate the concepts and theories in machine learning with probabilistic reasoning and understand the methodology of statistics and probability with data science, using real datasets. The code files and all related files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Mastering-Probability-and-Statistics-in-Python

Who is this book for?

This course is for individuals who want to learn statistics and probability along with its implementation in realistic projects. Data scientists and business analysts and those who want to upgrade their data analysis skills will also get the benefit. People who want to learn statistics and probability with real datasets in data science and are passionate about numbers and programming will get the most out of this course. No prior knowledge is needed. You start from the basics and gradually build your knowledge of the subject. A basic understanding of Python will be a plus but not mandatory.