Udemy – Machine Learning Practical Workout | 8 Real-World Projects 2024-6
Udemy – Machine Learning Practical Workout | 8 Real-World Projects 2024-6 Downloadly IRSpace

Machine Learning Practical Workout | 8 Real-World Projects, etc. the name of a training course applied machine learning is where you will build 8 projects from basic to professional Deep Learning/Machine and neural networks to learn. The aim of this course supplies the knowledge is the key to the practical use of the techniques of deep learning/machine in a easy way and interesting industry. In this course learners a practical experience to train different models using the dataset of the real world, your business will be, and on different topics like classification of images, the development of prediction models, development models, natural language processing, or NLP systems and offer the developer as in the example used in Amazon and Netflix want to pay.
What is in this course learn:
- Applications of deep learning
- Applications machine learning
- How to use artificial neural networks to predict car sales
- How to use neural networks for the classification of images
- How to use neural networks LE-NET to classify traffic signs
- How to use the learning model TRANSFER to classify the images based on CNN
- How to use PROPHET TIME SERIES to predict crime and the conditions on the market
- The development model of NLP for the analysis, comments, and find the spam
- The use of USER-BASED COLLABORATIVE FILTERING to develop systems bidder
Specifications period
- Publisher: Udemy
- Teachers: Ryan Ahmed, Mitchell Bouchard, Ligency Team
- Language: English
- Educational level: introductory
- The number of lessons: 90
- Time: 14 hours and 14 minutes
Course Content
Prerequisite course:
Images
Sample movie
Installation guide
After the Extract, etc. with the Player your desired view.
Subtitles: English
Quality: 720
Changes:
Version 2024/6 has not changed compared to 2020/3 in the number of lessons and duration of the course, but the volume of some videos has changed.
Download link
File size
5.06 GB