Udemy – Hands-on machine learning training

Description

Hands-on Machine Learning Training | 8 real projects etc. The name of an applied machine learning training course is where you create 8 projects from simple to professional deep learning/machine and neural networks to learn. The aim of this course is to provide, in a simple and interesting way, the knowledge that is the key to the practical use of deep learning/machine techniques. In this course, learners will get hands-on experience in training various models on your company’s real-world dataset and on various topics such as classifying images, developing predictive models, development models, natural language processing or NLP, and systems that the developer offers like in the example at Amazon and Netflix.

What will be learned in this course:

Applications of Deep Learning
Machine learning applications
How to Use Artificial Neural Networks to Predict Car Sales
How to use neural networks to classify images
Using neural networks LE-NET to classify traffic signs
How to use TRANSFER learning model to classify the images based on CNN
How to use PROPHET TIME SERIES to predict crime and market conditions
NLP’s development model for analyzing, commenting and finding spam
The use of USER-BASED COLLABORATIVE FILTERING to develop bidding systems

Specification period

Publisher: Udemy
Teacher: Ryan Ahmed, Mitchell Bouchard, Ligency team
Language: English,
Education Level: Introduction
the number of lessons: 90
Time: 14 hours and 14 minutes