Machine learning (ML)
This course has two versions :
- Fundamental
- Advanced Level
4.6
1,800 Students
- Last Updated 4/2023
- English
- 8 hrs Education
Machine learning (ML)
This course has two versions :
- Fundamental
- Advanced Level
- 8 hrs Education
- Last Updated 4/2023
- English
Need to Complete This Form
What you'll learn
- Understand the Key concept of Machine learning pipeline
- Understand the data quality and data Preparation process and acquire practical skills in data preprocessing, feature extraction ,feature selection
- Understand how to design, develop and deploy different ML models (supervised ML models , unsupervised ML models, Reinforcement Learning) and evaluate the models using different techniques
- Apply ML principles and scientific method in conducting experiments as part of the AI solutions development process
- Create Python scripts to automate the evaluation and analysis of data using a range of machine learning libraries, algorithms
This course includes:
- 22 hours on-demand video
- 19 coding exercises
- 15 articles
- Access on mobile and TV
- Certificate of completion
Top companies offer this course to their employees

Azure ML Studio

Amazon Sage Maker

Google Cloud AI Platform
Course content
23 sections • 156 lectures • 22h 13m total length
Auto-Welcome Message 00:30
Command Line Basics 00:20
Requirements

Azure ML Studio

Amazon Sage Maker

Google Cloud AI Platform

Python

scikit learn

PyTorch

TensorFlow

Keras
Featured review

Ken .K
9 courses
2 reviews
Everything on this course is a goldmine except for the GUI since it’s specific for Jupyter Notebooks and it’s missing the video for GUI Events. Still it was a nice introduction to GUI. Don’t let that disappoint you though. THIS IS A MUST HAVE COURSE. I have already recommended it to few people and always will. Do yourself a favor and do this course if you want to learn Python 3. Thank you so much for this course, Jose-sensei!!