Machine Learning Essentials with Python (TTML5506-P)
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About This Course
Learn how Artificial Intelligence is being applied in modern business.
This foundation-level hands-on course explores core skills and concepts in machine learning practices. You’ll learn machine learning concepts and algorithms from scratch. This includes the foundations, applicability and limitations, and an exploration of implementation and use.
Learning Objectives
Popular machine learning algorithms, their applicability and limitations
Practical application of these methods in a machine learning environment
Practical algorithm use cases and limitations
Inclusions
- Instructor-led training
- Training Seminar Student Handbook
- Collaboration with classmates (not currently available for self-paced course)
- Real-world learning activities and scenarios
- Exam scheduling support*
- Enjoy job placement assistance for the first 12 months after course completion.
- This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
- Government and Private pricing available.*
Pre-requisites
- Basic Python skills
- Good foundational mathematics in linear algebra and probability
- Basic Linux skills
- Familiarity with command line options such as ls, cd, cp, and su
Target Audience
- Experienced Developers, Data Analysts, and others interested in learning about machine learning algorithms and core concepts leveraging Python.
- This course is also offered in R or Scala – please inquire for details.
Curriculum
43 Lessons24h
1. Machine Learning (ML) Overview
Machine Learning landscape
Machine Learning applications
Understanding ML algorithms and models (supervised and unsupervised)
2. Machine Learning Environment
3. Machine Learning Concepts
4. Feature Engineering (FE)
5. Logistic Regression
6. Classification: SVM (Supervised Vector Machines)
7. Classification: Decision Trees and Random Forests
8. Classification: Naive Bayes
9. Clustering (K-Means)
10. Principal Component Analysis (PCA)
11. Recommendation (collaborative filtering)
12. Time Permitting: Capstone Project
Your Instructors
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$1,995.00
24 hours
Inclusions
- Instructor-led training
- Training Seminar Student Handbook
- Collaboration with classmates (not currently available for self-paced course)
- Real-world learning activities and scenarios
- Exam scheduling support*
- Enjoy job placement assistance for the first 12 months after course completion.
- This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
- Government and Private pricing available.*
