Udemy – Build 30 Real World Machine Learning Projects Practically 2022-6

The description

Build 30 Real-World Machine Learning Projects Practically is a project-based machine learning course for beginners to advanced users published on Udemy Academy. If you still don’t know what machine learning is, video surveillance, traffic alerts on your smartphone, facial recognition software, personalized product recommendations while browsing a website are all examples of real machine learning applications. This very important field is a subfield of artificial intelligence that has recently attracted a lot of attention and thus created lucrative career opportunities.

There are different types of machine learning specialists, and job responsibilities can overlap with other roles. Depending on the size of the organization, roles such as machine learning engineer, data science engineer, data scientist, ML developer, etc. go through include data collection, data preparation, model selection, model training, model evaluation, parameter setting, and final prediction. If you are new to machine learning, download and watch the course on Full Version to learn the latest ML methods.

Who should attend :

Machine Learning Beginners

What you will learn in the Build 30 Real World Machine Learning Projects Practically course:

Familiarity with creating machine learning projects
Understand the data analysis process
Learn and do exploratory data analysis
Training to create machine learning models

Specifications of Build 30 Real World Machine Learning Projects Virtually:

Editor: Udemy
Teacher: machine learning
French language
Level of training: beginner to advanced
Number of lessons: 182
Duration: 25 hours and 49 minutes