Udemy – Machine Learning Classification Bootcamp in Python 2019-2

Description

Machine Learning Classification Bootcamp in Python is the name of a comprehensive machine learning training package in the Python programming language. Today, machine learning is one of the most needed skills among programmers. This training package introduces you to up-to-date machine learning techniques such as Logistic Regression, Decision Trees, Random Forest, Naive Bayes and SVM and teaches you how to use them. Machine learning requires familiarity and mastery of a wide range of mathematical concepts. This training package, in addition to the programming language section, covers all the theories and mathematical concepts necessary for understanding and implementing machine learning.

Another feature of this collection is presenting and teaching the construction of 10 projects using real datasets. Projects such as: creating a spam detector for email, emotional analysis from the point of view of Amazon Alexa Assistant customers, forecasting and validating customers of a bank, predicting cancer and 6 other practical projects. For this tutorial, you will need a basic mastery of the Python programming language. Through this training, you will be able to be hired as a data scientist or use machine learning to solve real problems.

What do you learn?

Complete mastery of the Scikit-Learn and Seaborn Python libraries

How to use the Matplotlib library to design and display charts

Learn up-to-date 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 improve their skills in this field

Python Jobs that want to master machine learning

Developers who want to use machine learning to build their applications

And

Profile of Machine Learning Classification Bootcamp in Python

Publisher: Udemy

Instructor: Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, Mitchell Bouchard, SuperDataScience Team

English language

Level of education: Intermediate

Number of lessons: 82 lessons in 9 sections

Duration: 11h 43m

Headlines

Prerequisites

Basic knowledge of Python Programming

Experienced computer user

Photos

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p