General AI Mastery Toolbox: Master AI & Drive Success

Supervised ML: Regression

Besides Python programming and data science fundamentals, the course covers supervised machine learning regression, which includes training models for continuous outcomes, error metrics, Elastic Net, LASSO, Ridge regularization, and data science fundamentals for aspiring data scientists.

Interpretable ML Applications: Part 2

The project's primary objective is to enhance the interpretability of machine learning models by facilitating the elucidation of individual predictions using LIME.

Google Advanced Data Analytics Professional Certificate

In less than six months, acquire skills that are in high demand, including machine learning, regression models, Python, and statistical analysis.

IBM Data Science Professional Certificate

Prepare for a vocation as a data scientist. Acquire hands-on experience and in-demand skills to become job-ready in as little as five months. No prior experience is necessary.

Machine Learning Accessible to All

Gain a fundamental understanding of machine learning technologies, data impact, training models on non-programming platforms, and form an informed perspective on its societal implications.