Machine Learning using Python Training Course
Machine learning helps software make better predictions by learning from past data. It uses historical information to recognize patterns and predict future outcomes.
2 DAYS
Course Days
16 HOURS
Course Duration
9:30 AM - 5:30PM
Course Timings
VENUE
10 Anson Road, 26-08A International Plaza, Singapore 079903
Course Start Date
Learn How Data Changes the World
About the Course
These are the important outcomes that learners will get:
Learn the basic concepts of scikit-learn
Learn the implications of machine learning
Learn when to apply unsupervised learning algorithms
Implications of how several machine learning algorithms work
Understand how to program supervised learning algorithms using Python
Understand advanced machine learning algorithms
Begin your Machine Learning career with us
Course Prerequisites
Data Analytics knowledge is compulsory and recommended to join the basic Python course before joining this course.
What You’ll Learn
Machine Learning with Python is an advanced-level course where learners will gain hands-on experience writing algorithms and coding in Python to perform complex data analysis. They’ll learn to build, train, and evaluate various machine learning models for prediction and decision-making
Who Should Attend Machine learning with python Workshop
Machine learning with python is ideal for those who want to become a data scientist. Participants should have a background of programming in Python prior to attending.
Analyst
Turn insights into strategy
Business professionals
Drive smarter decisions
Entrepreneur
Innovate with AI power
Training Professionals
Upskill the future workforce
Student
Kickstart your AI journey
Entry Requirements
Above 16 years old
High School Level English
Basic internet & computer operation skills
Course Completion Requirements
Minimum 75% attendance is required in order to complete the course and receive the course completion certificate
Machine Learning using Python Course Outlines
Module 1
The main objective of this module is to learn the basics of Data Preparation and understand the essentials of machine learning in terms of functional & non-functional processes.
- Restoring the essential techniques in python as an essential to machine learning
Module 2
The main goal of this module is to learn the fundamentals of machine learning with Sckikit-learn. Also, you can learn important libraries of machine learning in this module.
- Understand the machine learning flow and concepts
- Learn functions within scikit-learn
- Prologue to supervised and unsupervised machine learning
Module 3
The main objective of this module is to learn Unsupervised Machine Learning. It uses a very famous python library known as scikit-learn. Unsupervised learning is very important in different business cases today, right from client division to property analysis.
- Learn unsupervised ML algorithms
- Understand clustering (k-means, SOM)
- Executing clustering with real use cases
Module 4
The main objective of this module is to learn Supervised Machine Learning. Unde Supervised Machine Learning Supervised machine learning is one of the most popular techniques in machine learning today. This module will focus on some of the most famous algorithms in regression and classification and equip learners with an understanding of how the algorithms execute.
- Learn various supervised learning algorithms
- Learn feature engineering and feature sets
- Execute numerous Supervised ML algorithms with real use cases
Module 5
The main goal of this module is to learn machine learning models and data science lifecycle. Also, you will learn model selection, evaluation, and optimisation.
- Learn model selection and evaluation methods
- Learn how to optimize machine learning models
See how MOCD Studio’s courses help our students grow and succeed
Top Most Related Courses
LCCI Level 3 Group Diploma for Certification in Accounting
In the LCCI Level 3 Accounting Course, you’ll learn the key principles of accounting, how to handle financial transactions, and...
Read More
Accounting and Finance for Non-Financial Professional
UTAP Union Training Assistance Programme Quick Enquiry Registration 2 DAYS Course Days 14 HOURS Course Duration 9:30 AM – 5:30PM...
Read More
Learn Best Bookkeeping Course in Singapore
UTAP Union Training Assistance Programme Quick Enquiry Registration 3 DAYS Course Days 21 HOURS Course Duration 9:30 AM – 5:30PM...
Read More
Personal Income Tax Training Course Singapore
Personal Income Tax Training covers everything you need to know about tax obligations, from filing requirements to deductions and credits...
Read More
Goods and Services Tax (GST) Course in Singapore
UTAP NTUC members can claim up to 50% of the unfunded course fees. Quick Enquiry Registration 1 DAYS Course Days...
Read MoreFrequently Asked Questions (FAQ)
What is the duration and schedule of the course?
The course is 2 days long (16 hours total).
Timing is typically 9:30 AM to 5:30 PM.
Where is the course held?
The venue is 10 Anson Road, 26‑08A International Plaza, Singapore 079903
Who is this course for?
This course is suitable for:
IT professionals
Data analysts
Aspiring data scientists
Anyone with prior programming experience in Python
What topics does the course cover?
The curriculum includes modules such as:
Data preparation and foundational concepts of machine learning
Use of scikit-learn library
Unsupervised machine learning (e.g. clustering)
Supervised learning (e.g. regression, classification)
ADDITIONAL SUPPORT
For Company
* Eligible companies can reimburse up to 90% of the payable amount via SFECFor Self-sponsor
* Singaporean can offset the payable amount via SkillsFuture Credit (Except Mid Career Credit) and/or PSEA * NTUC Union members can reimburse of up to 50% of the unfunded fee under UTAP Enjoy up to $250 UTAP support. More info: UTAP
Note: minimum 75% attendance & passing all the assessment are required for WSQ subsidy deduction.
Address
10 Anson Road,
26-08A International Plaza
Singapore 079903
Top Trending Courses
Terms and Conditions
Accounting & Non Finance Course
Programming course
Soft Skills Course
Creative Course
Project Management Course
Soft Skills Course
LCCI Certification Course
Microsoft Excel Course
Online Marketing Course
Website Design Course
