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Python Machine Learning with Scikit-Learn Training

Sessions 1 day
Duration 7.5 hrs
Level Intermediate
Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

Python Machine Learning with Scikit-Learn Training

Course Code: C188

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Enter the dynamic realm of machine learning with our specialized Python training module using Scikit-Learn at Tertiary Courses. From understanding the core differences between supervised and unsupervised learning to hands-on engagements with classification model analysis, our curriculum promises in-depth exploration. F1 Score and AUC metrics ensure that participants gain key insights into the accuracy and performance of their ML models.

The course further delves into critical machine learning facets like multivariate linear regression, supplemented by techniques such as Ridge and Lasso regularization to counter overfitting effectively. Participants will also be introduced to Silhouette Analysis and Dendrogram methods, empowering them with clustering skills. Concluding with dimension reduction using PCA, our program ensures that attendees walk away with a well-rounded, practical understanding of Python-powered machine learning using Scikit-Learn.

Full Fee $350.00 Before GST

GST $31.50 9% of fee

Baseline Nett $206.50 SG/PR age 21+ · 50% funded

MCES / SME Nett $136.50 SG age 40+ · 70% funded

Funding and Grant Applications

No funding is available for this course.

If you prefer a WSQ funding, please checkout our WSQ - Basic Machine Learning with ScikitLearn Course.

Course Fee

$350.00 (GST-exclusive)

$381.50 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time *

Sponsorship

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate

Additional Message or Emails for Course Notification

* Required Fields

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1 Overview of Machine Learning and Scikit Learn

Introduction to Machine Learning

Supervised vs Unsupervised Learnings

Machine Learning Applications and Case Studies

What is Scikit Learn

Installing Scikit-Learn

Topic 2 Classification

What is Classification

Classification Algorithms

Classification Workflow

Confusion Matrix

Binary Classification Metrics

ROC and AUC

Topic 3 Regression

What is Regression?

Regression Algorithms

Regression Workflow

Regression Metrics

Overfitting and Regularizations

Topic 4 Clustering

What is Clustering

K-Means Clustering

Silhouette Analysis

Dendrogram and Hierarchical Clustering

Topic 5 Principal Component Analysis

Curse of Dimensionality Issue

What is Principal Component Analysis (PCA)

Feature Reduction with PCA

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you wrte us a Google review.

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

Download and Install the following software

Hardware: Window or Mac Laptops

Job Roles

Aspiring Software Developer
Data Analyst
Web Developer
Automation Engineer
Data Scientist
System Administrator
Bioinformatics Specialist
Research Scientist
Finance Professional
Machine Learning Enthusiast
GIS (Geographic Information System) Specialist
IT Consultant
Network Engineer
Database Administrator
Tech Entrepreneur.

Trainers

Ken Yuen: Ken Yuen is a ACTA certified trainer. He has more than 10 years of experience working as an instructor, Application Development Engineer, Technical Consultant and Project Manager. He is an MOE-Registered Instructor teaching STEM programs for past 3 years such as Arduino, Micro:bits and robotics to schools and libraries based on the smart nation initiative roadmap.

He completed his Diploma in Electronic Engineering at Singapore Polytechnic and graduated with Bachelor of Electrical and Electronics Engineering from Nanyang Technological University and certified PMP (Project Management Professional).

Quah Chee Yong: Quah Chee Yong is a ACTA certified trainer. Quah Chee Yong Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industriesA firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment

He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners

Truman Ng: Truman Ng is a ACTA certified trainer that graduated with Bachelor Degree in Electrical Engineering from NUS in year 2002. He designed Artificial Intelligence (AI) controller for DC-DC Power Convertor by using Fuzzy Logic and Neural Network (NN) as his university Final Year Project.

Truman has over 15 years project experiences across Database & Web Design, PLC machinery, Data Center Design , Structure Cabling System(SCS) and Enterprise Network Design and Implementation. He used to be a network architect for Hewlett Packard, working with a group of virtual team from the US in handling network design and projects in the States.

Truman is the founder of Nexplore (S) Pte Ltd. He provides solutions of Cloud SaaS, IaaS & PaaS and Software Defined Network (SDN), VoIP and Internet Security. He was engaged by Huawei Global Training Center to provide 60+ consultations and trainings for Internet Service Providers(ISP) from Malaysia, Singapore, Brunei, Philipines, Australia, Poland, Iran, South Africa, Swaziland, Cote Dlvoire, Syria, Uzbekistan, New Zealand and countries over the world.
As achievement, Truman has successfully completed 100+ IT network projects for Bank, Hotel and Factory within 5 years.
Truman is certified in PMP, Cisco CCNP, CCIP, CCDP, HP Ase and Huawei HCNP, HCIE R&S, HCNA Cloud, HCNA Security, etc.

Marcel Leng: Marcel Leng is a ACTA certified trainer. Marcel graduated with majors in Applied Mathematics and Physics from the National University of Singapore.His core specialisation skills are R, Python, Machine Learning, Statistical Analysis, and Data Visualisation in Tableau. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.