Practical Machine Learning Training in Dhaka, Bangladesh

Machine Learning

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Machine Learning (ML) is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. This course is designed to equip you with knowledge, skills and implementation experience of Machine Learning.

How You Will Benefit From the Course

  • Increase your career prospects and employability with latest skill-set
  • Gain the skills to easily identify the trends and patterns in data-sets
  • Learn how to conduct system automation without human intervention and make continuous improvement
  • Acquire knowledge of handling multi-dimensional and multi-variety data
  • Learn about the wide variety of practical applications of ML


  • Classroom-based: The course will be delivered in instructor-led Sessions in a well-equipped classroom at our own premises. There will be 8-12 participants in each class
  • On-site: If you have 15 or more employees seeking Machine learning training, we will deliver the course at your facility (or another location in your area, if you prefer). The training can be scheduled based on your requirements & our trainers' availability.

Duration: 32 Hours

What You Will Learn from the Machine Learning Course

  • You will learn how to apply Machine Learning by using enough python language
  • Get to know about important machine learning libraries
  • Learn about data pre-processing
  • How to solve classification problems with ML
  • Regression problem solving
  • Knowledge about association rules
  • Learn to use clustering
  • Gain the experience of design and implementation of realistic project

We assist software development teams to apply Machine Learning techniques in a real-life project.

Course Outline

  • Intro & Environment Setup
  • Introduction to Python
  • Python ML Libraries (SciKit)
  • Machine Learning for the Future
  • Supervised and Unsupervised Learning
  • Data pre-processing
  • Classification, Regression, and Clustering
  • Linear Regression
  • Simple Linear Regression
  • Multiple Linear Regression
  • Polynomial Regression
  • Support Vector Regression (SVR)
  • Decision Tree Regression
  • Random Forest Regression
  • Classifications
  • Logistic Regression
  • K-Nearest Neighbors (K-NN)
  • Support Vector Machine (SVM)
  • Kernel SVM
  • Native Bayes & Decision Tree Classifications
  • Decision Tree Classification
  • Random Forest Classification
  • Classification Models Performance
  • Clustering
  • K-Means Clustering
  • Hierarchical Clustering
  • Group Project

Course Schedule

Batch Name Time & Duration Days Start Date Early Bird Super Early Bird
Morning 9 am – 1 pm (8 Days)  Sunday to Wednesday To be confirmed To be confirmed To be confirmed
Afternoon 2 pm – 6 pm (8 Days) Sunday to Wednesday To be confirmed To be confirmed To be confirmed
Evening 6 pm – 10 pm (8 Days) Sunday to Wednesday To be confirmed To be confirmed To be confirmed
Friday 10 am – 7 pm (4 Days) Friday Only To be confirmed To be confirmed To be confirmed
Online   Sunday to Wednesday 05-04-2020 28-03-2020 05-03-2020


  • Air-conditioned Classroom
  • Laptop for each participant
  • Lunch & Snacks
  • Final Assessment
  • Course Completion Certificate

Who Should Attend

This course is intended for anyone who has knowledge in any type of programming language.

Course Fee: 12,000/-

Early Bird Discount: 20%
Super Early Bird Discount: 40%
Group of 3: 10%
Group of 5: 15%

Rules & Regulations:

  • The commencement of classes is subject to receipt of a satisfactory number of participants. Ishraak Solutions has the right to cancel/postpone the classes.
  • Training fees include venue, lunch & refreshments, stationery, certificate, etc.
  • Requests for cancellation of registration must be shared at least 7 days prior to the start date of the class. In that case, the participant will get a full refund of the registration fee.
  • If the class schedule/date is changed by Ishraak Solutions, the participant may request to cancel the registration. He/She will get a full refund in that scenario.
  • Ishraak Solutions shall not be responsible in any circumstances beyond our control which may need to postpone or cancel the program or cancellation of any other expenses incurred by the participant due to such instance.


  • Nayeem Ahmed
  • Nayeem Ahmad
  • CEO, Ishraak Solutions
  • Linkedin

He has more than 17 years of experience in both in-house and client-side project implementations. He is a Software Professional and tech enthusiast with an entrepreneurial mindset. He held the position of CEO, COO & CTO in well-established IT companies. He worked in various areas including ERP Development & Implementation, Artificial Intelligence/Machine Learning/Deep Learning, Blockchain. Has a strong academic background with B.Sc. in CSE from BUET (2002) and management training from IIT Kharagpur(2005), India.

  • Munir Uddin Ahmed
  • Munir Uddin Ahmed
  • CTO, Ishraak Solutions
  • Linkedin

He has 15+ years of professional experience in software development, project management, system analysis, database modeling, and DevOps. Mentored and transformed multiple teams as an Agile Coach. Has implementation experience of various software architectures including cloud-based solutions. Has vast experience as a trainer of software project management, software architecture, design patterns, Java programming, C# programming, SQL Server, Oracle, SQA, Selenium etc. Has an illustrious academic background with a B.Sc. in Mechanical Engineering BUET (2000) and Post Graduate Diploma in Computing, Computer Science.


We will use Python for the hands-on during the class.

We will use Python. But if someone is comfortable with R, he/she can easily try the same code.

We provide Presentations, Links to online resources, PDF Books, List of study materials and also sample codes.

Individual projects are not covered in this course. But, the course will cover all the required topics necessary to take up any real-life projects.

Yes, with each topic we cover, relevant code is also shared and explained during the sessions.