Supervised learning

In this Machine learning specialization section one, I learned about cost functions, gradient descent, optimizers, Multiple Linear regression, etc. through various assignments and projects.

Advanced Learning Algorithms

In this section, I explored advanced algrithms like clustering algorithm its application, parameter estimation,feature engineering, etc to solve specific problems and evaluate the performance of the solution.

Unsupervised Learning: Recommenders, Reinforcement Learning

In the final month of Andrew Ng’s specialization, I built a recommendation system using collaborative filtering and content-based filtering with TensorFlow. I also explored neural network architectures, ethical considerations, and completed a final project on reinforcement learning to safely land a simulated Mars rover.

Python Bootcamp

Strong foundations are necessary to level up. this bootcamp helped me understand the architecture and application of python tools to build algorithms.