Basic statistics and regression for machine learning in Python /

Get ready to learn the basics of machine learning and the mathematics of statistical regression, which powers almost all machine learning algorithms. This course is for ML enthusiasts who want to understand basic statistics and regression for machine learning. The course starts with setting up the e...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Birmingham, United Kingdom] : Packt Publishing, [2021]
Edición:[First edition].
Temas:
Python (Computer program language)
Machine learning.
Regression analysis > Computer programs.
Data mining.
Data Mining
Python (Langage de programmation)
Apprentissage automatique.
Exploration de données (Informatique)
Webcast
Instructional films.
Internet videos.
Nonfiction films.
Films de formation.
Films autres que de fiction.
Vidéos sur Internet.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Get ready to learn the basics of machine learning and the mathematics of statistical regression, which powers almost all machine learning algorithms. This course is for ML enthusiasts who want to understand basic statistics and regression for machine learning. The course starts with setting up the environment and understanding the basics of Python language and different libraries. Next, you'll see the basics of machine learning and different types of data. After that, you'll learn a statistics technique called Central Tendency Analysis. Post this, you'll focus on statistical techniques such as variance and standard deviation. Several techniques and mathematical concepts such as percentile, normal distribution, uniform distribution, finding z-score, linear regression, polynomial linear regression, and multiple regression with the help of manual calculation and Python functions are introduced as the course progresses. The dataset will get more complex as you proceed ahead; you'll use a CSV file to save the dataset. You'll see the traditional and complex method of finding the coefficient of regression and then explore ways to solve it easily with some Python functions. Finally, you'll learn a technique called data normalization or standardization, which will improve the performance of the algorithms very much compared to a non-scaled dataset. By the end of this course, you'll gain a solid foundation in machine learning and statistical regression using Python.
Notas:"Updated in October 2021."
Descripción Física:1 online resource (1 video file (5 hr., 10 min.)) : sound, color.
Tiempo de Juego:05:10:00

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