ML Algorithms is the fourth Course in the AWS Certified Machine Learning Specialty specialization. This Course enables learners to deep dive Machine Learning Algorithms. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:00-2:30 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.


ML Algorithms
This course is part of Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization

Instructor: Whizlabs Instructor
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What you'll learn
Determine algorithm concepts in ML
Design Regression algorithms and Classification based algorithms
Examine Reinforcement learning algorithms and Forecasting algorithms
Skills you'll gain
- Unstructured Data
- Natural Language Processing
- Algorithms
- Time Series Analysis and Forecasting
- Unsupervised Learning
- Text Mining
- Classification And Regression Tree (CART)
- Predictive Modeling
- Machine Learning Algorithms
- Regression Analysis
- Artificial Intelligence and Machine Learning (AI/ML)
- Image Analysis
- Reinforcement Learning
- Supervised Learning
- Machine Learning
- Forecasting
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There are 2 modules in this course
Welcome to week 1 ofML Algorithms Course. This week, we'll describe algorithm concepts in Machine Learning. We'll demonstrate working of Regression algorithms ad Clustering algorithms. Additonally, we'll also demonstrate working of Classification based algorithms
What's included
12 videos3 readings2 assignments1 discussion prompt
Welcome to Week 2 of ML Algorithm course. This week, we'll describe Image analysis algirithms with demonstration on Text analysis algorithms. By the end of this week, we'll be able to describe Reinforcement learning algorithms and Forecasting algorithms.
What's included
7 videos3 readings3 assignments
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