Stanford & Deeplearning.AI: Machine Learning Specialization

In this course, I learned the fundamentals of supervised learning, unsupervised learning, and neural networks.

I began by implementing basic linear and logistic regression and training the model using gradient descent. The initial implementation was done using only NumPy and For-loops, but was optimized using powerful ML libraries such as TensorFlow and parallel processing best-practices.