Download Udemy – Machine Learning Classification Bootcamp in Python 2020-10

Description

Machine Learning Classification Bootcamp in Python , is the name of the comprehensive educational package of machine learning in the Python programming language. Today, machine learning is one of the most needed skills among programmers. This educational package will provide you with the latest machine learning techniques such as Logistic Regression, Decision Trees, Random Forest, Naive Bayes And SVM Familiar and teaches you how to use them. Machine learning requires familiarity and mastery of broad concepts of mathematics, and this educational series, in addition to the programming language section, also covers all the necessary mathematical theories and concepts to understand and implement machine learning.

Another feature of this collection is the presentation and training of building 10 projects using real datasets. Projects such as: making a spam finder for e-mail, emotional analysis from the point of view of Amazon’s Alexa assistant customers, predicting and validating customers of a bank, predicting cancer and 6 other practical projects. For this tutorial, you will need basic knowledge of Python programming language. By completing this training, you will be able to be employed as a data scientist or use machine learning to solve real problems.

What do you learn:

Complete mastery of Scikit-Learn and Seaborn Python library
How to use the Matplotlib library to design and display graphs
Learning the latest machine learning methods and techniques such as K-Nearest Neighbors, SVM, Random Forest and…
Understand the difference between machine learning, deep learning and artificial intelligence
And …

This training is suitable for people who:

Data scientists who want to increase their skills in this field
Python jobs that want to master machine learning
Programmers who want to use machine learning in building their applications
And …

Specifications of Machine Learning Classification Bootcamp in Python:

Publisher: Udemy
teacher : Dr. Ryan AhmedPh.D., MBA, Kirill Eremenko, Hadelin de Ponteves, Mitchell Bouchard, SuperDataScience Team
English language
Education level: Intermediate
Number of lessons: 82 lessons in 9 sections
Duration: 11h 43m