Predicting the future isn’t magic, it’s artificial intelligence!
This 13 weeks classroom training on Machine Learning will help participants to learn from basics of Machine Learning, understand the math behind algorithms and get hands-on experience working on ML algorithms. This curriculum was developed in association with HyperVerge. At regular intervals, problem statements will be given for the participants to solve and gain more insights into algorithms.
Get started with our 13 weeks Machine Learning Course at IIT Madras Research Park, Chennai.
13 weeks of Intensive Classroom Training
- Fundamentals of AI & ML
- Linear Regression
- Classification Problem
- Logistics Regression
- Multivariate Linear Regression & Evaluation Measures
- K Nearest Neighbor
- Naive Bayes
- Decision Tree
- Random Forest & Ensembles
- Support Vector Machines
- K Means Algorithm
- Neural Networks
Who can attend?
- Software/ IT / Data Professionals
- Engineering students/Professors
- Should be proficient in at least one of the programming languages (C / C++/ Python / Java / R).
- Should be ready to commit to rigorous training and learning
- Total duration – 13 Weeks.
- Class Timings: 9.30 AM to 4.30 PM.
- Lunch & Refreshments will be provided.
Weekend Batch: 18th Oct 2020
Timings: 9.30 am to 4.30 pm
IIT Madras Research Park
- 13 Weeks of Training @ IIT Madras Research Park
- Resource materials – (Book, Pen, Notebook, Datasets, and Software)
- Lunch & Refreshments
Online Advance Reg. Fees: Rs 2000/-
Balance fees to be paid in 2 installments:
- 1st Installment – on the 1st day of the batch.
- 2nd Installment – on 5th week of the batch.
Would you like to attend this course online?
The same course is offered as live online classes with our Online ML Course.
To know more about the Online course & register
Prefer One-on-One training?
We also offer the same training as One on One mode. Sign up below.
Feedback from our ML Course Classroom program
“Honestly, I didn’t have a lot of expectations when I signed up for the course, but things changed after the 1st two sessions. Just as it was picking up the momentum, we all were hit by the pandemic and we had to turn to the online option after a brief hiatus. I was skeptical as I wasn’t sure how effective the classes would be. To my surprise again, the classes were made so interesting that I didn’t find it difficult to follow at all. The course starts with the basics laying a strong foundation on AI & ML including topics on stats, python, mathematics before getting into the details. I find this course a definite eye opener.
A special shout-out to Pawan who takes his job very seriously. I’m totally impressed. You can get instructors who are knowledgeable but this guy goes way beyond that. He ensures that all your questions are answered and no one in the class is left behind.
I would strongly recommend Pawan and this course of course, to anyone who is interested in learning ML. “
“ This ML course is a complete package that one wants to take up and add the skillset to your resume. Although I have done course in Udemy, this course no way near comparable to it. The fine blend of the math and code is a pure bliss and the assignments of basic python just gives you a head start to understand the code used inside the course. The partial offline and online due to pandemic didn’t affect much rather reduced the travel burden for me, but the class quality was not compromised at all. Everyone at the end of this course can easily and confidently say that you can solve ML problems on your own. Happy coding guys… “
“ I took Lema Labs Machine Learning program in March 2020, just before the pandemic, and I would wholeheartedly say I was very impressed. In the midst of lots of online options, Lema Labs stands out and excels in their interactive content delivery and truly personalised attention to each and every participant. I personally feel very energised interacting with their staff’s radiating enthusiasm, passion to teach and willing to go extra mile to help participants.
I highly recommend Lema Labs programs for people who want interactive learning and friendly atmosphere to learn. Their commitment to not just meet expectation, but go over and beyond makes them unique and special. “
How well participants were able to understand the concepts explained by the trainer
Rating for the training session from the participants