Why is Machine Learning the new frontier in technology? Machine learning allows computers to learn from data and make predictions without explicit programming. Python, with its simple syntax and powerful libraries, makes it easy to implement ML models. The session covered Python fundamentals and introduced Supervised Learning, where models are trained using labeled data to recognize patterns and make informed decisions.

Introducing CDC 101: Think Tank by KDAG – a curated collection of probability problems and puzzles crafted to enhance your analytical skills and prepare you for CDC placements and internships. Dive into real interview questions that test your problem-solving abilities across software, finance, and quant domains. Start sharpening your skills today with this essential resource!

Why is Python so special to scientists? Python provides us with an easy-to-code, object-oriented high-level language. There are different libraries available for different fields like Math, Data Mining, Data exploration, and visualization. The workshop gives an introduction to Python programming and some useful Python libraries - NumPy, pandas, matplotlib.

Wondering what to do for your CDC intern or how to apply for research opportunities in ML/AI? We have with us the pre-final year students who have cracked their CDC internships and panelists who have done research interns at various institutes in India and abroad. They are here to help with your questions such as what and how to prepare.

Come on data enthusiasts! How about an R-Rated session on Convolutional Neural Networks or a rather mathematical approach to understanding a deep learning model through research papers? The reading sessions are usually kept short and to the point. So let's delve deep into exciting data science topics with proper resources!

Why is Python so special to scientists? Python provides us with an easy-to-code, object-oriented high-level language. There are different libraries available for different fields like Math, Data Mining, Data exploration, and visualization. The workshop gives an introduction to Python programming and some useful Python libraries - NumPy, pandas, matplotlib.

Explore Machine learning, Deep learning, and Python programming. Learn about basic visualization and machine learning techniques. The workshop covers visualization techniques, an introduction to machine learning algorithms, neural networks, unsupervised learning algorithms, time series, and an introduction to analyzing data through Kaggle.