Machine Learning with Python Certification Training

Boost your data science career with Strategism’s Machine Learning with Python certification training.

  • Early Bird Price - 20% Off Now!

Price : 1999 USD $999

Live Instructor – Led Online ML with Python

15+ Years

Experienced Trainers

50+

Trainers

1800+

Certified

4.7/5*

Rating

SAVE THE DATES FOR OUR UPCOMING PROGRAM

Weekend & Weekday Program

Introduction to ML with Python

Boost your data science career with Strategism’s Machine Learning with Python certification training.This course is your go-to program for mastering machine learning, from the basics of supervised and unsupervised learning to advanced techniques like regression, classification, KNN, decision trees, SVM, and clustering. You’ll gain hands-on experience by building and deploying deep learning and data visualization models in real-world projects. Designed to align with industry standards, this training equips you with the practical skills and knowledge to confidently tackle real-world data challenges and advance in your data science journey.

Who Should Take This Course?

Ideal for those interested in solving problems with machine learning, including software or data engineers focused on quantitative analysis, as well as data analysts, economists, and researchers.

A solid foundation in at least one coding language is required, with Python being the most suitable for intuitive and minimalistic machine learning training.

Course Syllabus – ML with Python

Module 1

Statistical Methods in Learning

Module 2

Python Tools for Machine Learning

Module 3

Basics of Machine Learning

Module 4

Optimization Strategies

Module 5

Guided Learning Techniques

Module 6

Optimize Model Performance

Module 5

Create Reports

Module 5

Identify Patterns

Module 6

Enhance Reports

What Our Customer Say About Us

Frequently Asked Questions

The course includes 34 hours of instructor-led sessions, 80 hours of assignments, and 45 hours of hands-on practice.
It’s ideal for software or data engineers, data analysts, economists, and researchers with a basic coding background, especially in Python.
You’ll complete 10 live, industry-relevant projects to build a strong portfolio.
Yes, a foundation in Python or another programming language is necessary.
You’ll learn supervised and unsupervised learning, regression, classification, clustering, and neural networks.
Yes, professionals provide personalized code feedback throughout the course.
Webinars, e-books, and career support resources are included.
Six months of career guidance are provided to help you advance in data science.
Yes. Payment is done at the point of registration.
No, it is the attendee’s responsibility if he fails in the test. We offer no refund; however, we help the participant to attend a free class again to prepare for exam.

Partnering with World's Leading Universities and Companies