Udemy – Machine Learning Practical Workout | 8 Real-World Projects 2020-3

Description

Machine Learning Practical Workout | 8 Real-World Projects is the name of a practical machine learning training course in which you will learn deep learning / machine and neural networks by building 8 projects from basic to professional. The aim of this course is to provide key knowledge for the practical application of deep / machine learning techniques in an easy and interesting way. In this course, learners will gain hands-on experience teaching different models using real-world datasets on a variety of topics such as image classification, predictive model development, natural language or NLP processing models, and systems. Bidders will pay like the examples used on Amazon and Netflix.

What you will learn in this course

Deep learning applications

Machine learning applications

How to use artificial neural networks to predict car sales

How to use deep neural networks to classify images

How to use LE-NET neural networks to classify traffic signs

How to use the TRANSFER learning model to classify images based on CNN

How to use PROPHET TIME SERIES to predict crime and market conditions

Develop the NLP model to analyze comments and find spam

Use USER-BASED COLLABORATIVE FILTERING to develop the proposing system

Course information

Publisher: Udemy Instructors: Ryan Ahmed, Mitchell Bouchard, Ligency Team English language Level of training: Introductory Number of courses: 90 Duration: 14 hours and 14 minutes

Prerequisite

Deep Learning and Machine Learning basics

PC with Internet connetion

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720