Download Build 30 Real World Machine Learning Projects Practically

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 when browsing a website are all examples of real machine learning applications. This very important field is a sub-field of artificial intelligence that has recently gained a lot of attention and therefore has created lucrative career opportunities.

There are different types of machine learning specialists, and job responsibilities may 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. In this course, you will work on building a machine learning project on car price prediction, and the steps you will go through include data collection, data preparation, model selection, model training, model evaluation, parameter setting, and final prediction. If you are a beginner in machine learning, download and watch the course from Downloadly to learn the latest ML methods.

Who is this course suitable for:

Beginners in machine learning

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

Getting to know and how to create machine learning projects
Understand the data analysis process
Learning and doing exploratory data analysis
Training and creating machine learning models

Specifications of the Build 30 Real World Machine Learning Projects Practically course:

Publisher: Yudmi
teacher: The Machine Learning
English language
Training level: introductory to advanced
Number of courses: 182
Training duration: 25 hours and 49 minutes