Machine Learning

Unleash the Power of Data with Machine Learning - Dive into the Future of AI and Automation!

About the course

Learn the fundamentals of machine learning, including core principles like overfitting, loss functions, and backpropagation, while exploring key algorithms across supervised, unsupervised, and reinforcement learning. Gain hands-on experience applying models to real-world data through projects, Kaggle competitions, and interactive tools like Jupyter Notebooks or Google Colab.

Course Outcomes

Explore core machine learning principles, including loss functions, overfitting/underfitting, backpropagation for neural networks, and the mathematics behind these models.

Gain knowledge of standard algorithms in supervised, unsupervised, and reinforcement learning, along with their use cases and limitations.

Learn to apply machine learning models to real-world data, including techniques for fine-tuning and evaluating models to achieve optimal performance.

Approach

Explore Jupyter Notebooks or Google Colab for interactive ML projects and experiment with various libraries.

Participate in Kaggle competitions to enhance your skills and apply learned concepts to global-level challenges.

Develop machine learning projects to solve real-world problems and contribute to initiatives like ML in India's stack project or similar challenges.

Resources

What you'll learn

Built for Novices

Just starting out? No need to worry. Let’s take the first step together.

Create a habit

Pick up a new skill and learn why practice makes perfect.

Learn with the best

Stuck on something? Discuss it with your peers in your virtual classroom.

Discover your niche

Learn what makes you tick and how you can use it to your benefit.

Learn from a band of experts

Get access to guest lectures and mentorship by industry leaders.

Explore a new frontier

Want to push the limits of what you can do? Gain the opportunity to become an expert.

Reviews and Testimonials