How many learners are assigned to a Machine Learning course?

If you want to know how many learners are assigned to a machine learning course at CBitss, then our answer is very simple. We limit our batch size to only 10-12 students per group. It is because we believe that the way to learn machine learning seriously is in an environment that is focused and hands-on, and interactive. Machine Learning is impacting various industries, from healthcare and finance to e-commerce and entertainment. If you are a prospective beginner wanting to take a step into the world of sensible systems, prediction, and automation, then our Machine Learning course in Chandigarh, Sector 34, will give you the best start ever.

Why small number of learners are assigned to a Machine Learning Course at CBitss

Machine Learning is more than learning definitions and formulas. Therefore, it involves learning the logic behind algorithms, playing with data and building models to solve actual problems. With a smaller population of learners, individual learner attention is paid to each one of you to understand the complex concepts of ML.

In an ensemble full of topics such as supervised learning, unsupervised learning, feature engineering, overfitting, cross-validation, and neural networks, it’s easy to get lost. However, in our closely centred setup, you’ll never be a name on the list. You’ll be actively involved in class discussion, ask questions freely, solve coding challenges, and you’ll get any help from your instructor in time when you get stuck on something.

A Practical, Hands-On Learning Approach

Theory is good, but machine learning is learnt the most by doing it. From the first day of our course, we focus on hands-on work.

During the course, you will do practical, real-life projects where you will:

-> Collect and clean datasets

-> Reduce features and data pre-processing

-> Train machine learning models, build and test, and optimise machine learning models accordingly

-> Measure model performance with measures such as accuracy, precision, and recall.

-> View data and make data-informed decisions.

And with only 10 – 12 students in the batch, the instructors can take a look at your code, give feedback on your approach and the way to make it better, and more efficient, so that you need less time to write better models.

Learn as you will – with adequate support

Different learners are different. Some don’t learn ML algorithms quickly; they may even require additional explanations or repetition. Our individualised process is guaranteed to leave you with confidence to proceed. Surely if any one of you is lost or if you get stuck on backpropagation, or simply don’t know the difference between bias and variance. Your teacher will be there for you, though, to explain each concept.

We also promote cooperative learning as a result of pair programming, group problem-solving, and discussion meetings. This not only enables you to reinforce your learning but also to learn from the challenges and resolutions of your fellow students.

Build Confidence Alongside Skills

Not only will you understand how machine learning operates at the end of the course, but you will actually have developed working machine learning models, completed practical activities with real-life datasets, and believe in yourself enough to be able to deploy this knowledge in interviews, internships, and projects. You’ll be ready for working in data science, analytics, in the development of AI or continue studying in this sphere.

Sign up today for learning Machine Learning the personalised, project-based way with Chandigarh’s best machine learning course.

Call 9988741983 to secure your seat for the next batch.