certifications

Built neural networks and tree ensembles, applying ML best practices for real-world classification tasks.

Learned to build prediction and classification models using NumPy and scikit-learn.

Explored the fundamentals of Deep Learning, including neural networks and classification.

It covered topics like React, CSS, and JavaScript.

It covers topics like query optimization, data modeling, Indexing, window functions, and pivots in SQL.

It covered basic topics in Java language such as classes, data structures, inheritance, exception handling, etc.

It covered data cleaning, data analysis, data visualization, strategic thinking and presentation skills.