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Python Machine Learning with Scikit Learn Training

Python Machine Learning with Scikit Learn Training

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.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M268

Course Booking

MYR1,000.00

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
On-Site Training (5 pax and above)

Course Date * Course Date

Course Time *

Sponsorship

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate *

NRIC (Last 3 Digits and Alphabet)

Additional Message or Emails for Course Notification *

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

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

Prerequisite

This is a intermediate level course. The following prerequisite is assumed

Basic Python

Software Requirement

Pls download and install the following software prior to the class

Python 3.x https://www.python.org/downloads/
Sublime Text 3 https://www.sublimetext.com/3

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

1- HRD Corp Grant Helper

How to submit grant applications for HRD Corp Claimable Courses

2- Employers are required to apply for the grant at least one week before training commences.

Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.

3- First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my

Second, Click Application

4- Click Grant on the left side under Applications

5- Click Apply Grant on the left side under Applications

6- Click Apply

7- Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply

8- Scheme Code represents all types of training that suit the requirements provided by HRD Corp. Below are the list of schemes offered by HRD Corp:

9- Select your Immediate Officer and click Next

10- Select a Training Provider, then click Next

11- Please select a training programme from the list, then key in all the required details and click Next

Select your desired training programme.

Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.

Explain the background and objective of this training.

Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.

12- If the training programme is a micro-credential programme, you are required to complete these 3 fields. Save and click Next

Insert MiCAS Application number

13- Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:

14- Please select a Course Title and Type of Training

15- Select the correct type of training according to the actual type of training, or as mentioned in the training brochure:

16- Please key in the Training Location and click Next

17- Please select the Level of Certification and click Next

18- Please follow the instructions and key in trainee details

19- Click Add Batch, then click Save

20- Click Add Trainee Details

21- Please key in all the required details, then click Add

22- Click Add if there are more participants. Once done, click Save

23- Click Next

24- Please key in the course fees and allowance details, then click Save

25- Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.

26- Select Upfront Payment to Training Provider and key in the percentage from 0% to 30%. Then, click Save and Next

27- Complete the declaration form and select a desired officer

28- Add all the required documents, then click Add Attachment. Then, click Save and Submit Application

29- Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.

The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

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

Ghazaleh Babanejad: Ghazaleh Babanejad has received her Ph.D from University Putra Malaysia in Faculty of Computer ‎Science and Information Technology. She is working on recommender systems in the ‎ the field of skyline queries over Dynamic and Incomplete databases for her Ph.D. thesis. She is also working ‎ on the Data Science field as a trainer and Data Scientist. She worked on Machine Learning and Process ‎ Mining projects. She also has several international certificates in Practical Machine Learning (John ‎ Hopkins University) Mining Massive Datasets (Stanford University), Process Mining (Eindhoven ‎ University), Hadoop (University of San Diego), MongoDB for DBAs (MongoDB Inc) and some other ‎ certificates. She has more than 5 years of experience as a lecturer and database administrator.

Saeid Alizadeh: Saeid Alizadeh is a technopreneur specialized in field of IOT (Internet of things), Building Management System (BMS), Building Automation System (BAS), Automotive Hydroponics Systems, and generally sense, monitor and control mechanical and electrical equipment such as ventilation, lighting, power systems, fire systems, and security systems.

Saeid’s past experience on IoT application include:

Smart Building System
Energy Monitoring, Controlling and Saving
Environmental Monitoring
Flood detection and prediction system based on IoT and big data
Online Weather Station Based on IoT
Smart Farming System (Long Range Wireless Sensor Networks)
Smart Hydroponic System Based on IoT
IP TV and Digital Signage System
RFID Solution
GPS Tracking System
Remote Sensing

Nouar AlDahoul: Nouar AlDahoul is a PHD candidate in IIUM Malaysia. She is an AI researcher and developer. She has +6 years of hands-on experience in machine learning field including deep and reinforcement learning. She has been working as a research assistant in different research centers such as UM, IIUM, MMU universities. She has published many papers in different journals and confrences. Her research interests are: Deep learning, Reinforcement learning, computer vision, Data visualization, Data analysis and embedded system.

Reza Adinehnia: Reza Adinehnia is an experienced Network Security Specialist with a demonstrated history of working in IT industry. He is skilled in Data mining, VMware ESX, Database Security, C, PHP, Computer networks and security. He possesses a strong information technology background with a Doctor of Philosophy (PhD) focused in Computer Security from Universiti Putra Malaysia.

Lee Cheong Loong: Lee Cheong Loong is a manager with an EMBA – 21 years working experience indifference role/ Dept. (Sales, Logistic, IT, Online Store, Internal Trainer, and Customer services), involved in multiple IT project (Server P2V upgrade, Network infra upgrade, and ERP system Deployment). He has switched career to Project management role, Big - data / Data scientist related project, with Professional Certification Big Data & Analytics, Professional Certificate in Tableau, & Pass the HRDF Certified Trainer Programme. He also involves in AI chatbot and application development to help small-medium practitioner (accounting industry).