Data Science Bootcamp

Embark on an exciting exploration of AI, machine learning, and IoT technologies in this dynamic course. Through practical examples and hands-on exercises, you’ll delve into the world of data storage...

Discover the power of A/B testing, a dynamic method for refining strategies and enhancing user experiences. Online Experimentation And A/B Testing offers a deep dive into this invaluable technique. From...

In this course you’ll explore techniques for extracting insights from unstructured text data and foundational concepts and applications of text analytics across various industries. Delve deep into the theory and...

Discover the art of recommendation systems in our course, ‘Ranking And Recommendation Systems.’ Delve into the intricacies of collaborative and content-based techniques, exploring algorithms and evaluation methods vital for crafting...

Regularization and tuning of linear models are techniques used to improve the performance and generalization of linear regression models. Regularization methods such as L1 (Lasso) and L2 (Ridge) regularization are...

Decision tree learning is a machine learning technique used for both classification and regression tasks. It involves constructing a tree-like structure where internal nodes represent feature attributes, branches represent decision...

Predictive modeling for real-world problems involves applying statistical and machine learning techniques to make predictions or classifications based on data collected from real-world scenarios. By utilizing historical data, predictive modeling...

This course provides a comprehensive understanding of various techniques and metrics used to assess the performance of classification models in machine learning. Topics covered include precision, recall, F1 score, ROC...