Machine Learning Training Course in Dhaka, Bangladesh

machine learning training course poster

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. classes

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

Facilities Offered

  • 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.

Talk to Us

For any question, feel free to call:

Duration30Hours

Course Fee: 12000/-

Discounts:

Early Bird (register 7+ days early): 20%
Super Early Bird (register 1 month early): 30%
Group of 3: 10%, Group of 5: 15%

Venue:

House 76, Road 4
Block B, Niketan
Gulshan 1, Dhaka

Upcoming Batches

Nightly Batch

8:30 PM - 10 PM
Sat-Mon-Wed
Total 20 days

Date:

Oct 10 Sign Up

Morning Batch

10 AM - 1 PM
Sun - Wed
Total 10 days

Date:

To Be Announced I am Interested

Afternoon Batch

3 PM - 6 PM
Sun - Wed
Total 10 days

Date:

To Be Announced I am Interested

Evening Batch

6 PM - 9 PM
Sun - Wed
Total 10 days

Date:

To Be Announced I am Interested

Friday Batch

10 AM - 6 PM
Fridays Only
Total 4 days

Date:

To Be Announced I am Interested
Instructors
ceo ishraak solution
Munir Uddin Ahmed

CTO, Ishraak Solutions

B.Sc. in Mechanical Engineering BUET (2000) and Post Graduate Diploma in Computing, Computer Science.He has 18 years of experience in software development.

ceo ishraak solution
Nayeem Ahmad

CEO, Ishraak Solutions

B.Sc. in CSE from BUET (2002) and management training from IIT Kharagpur(2005), India.He has more than 17 years of experience in software industries.

Software Engineer
Rasel Khondokar

Software Engineer, Ishraak Solutions

3+ years of experience in Python, Machine Learning, Data Science, Artificial Intelligence, Computer Vision, Natural Language Processing and Software Development. Currently, Working in Ishraak Solution as a Software Engineer (Machine Learning). Has experience as a trainer of Python and Machine Learning.

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 before 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.

FAQ

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.
Do you have any questions about the course?
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