The course required extensive knowledge of numpy, pandas, matplotlib, seaborn, and many of the tools found in the Sci Kit library. Coding including extensive work in data preprocessing, feature engineering, and predictive modeling. The machine learning topics included neural networks, clustering, K-means Nearest Neighbors, State Vector Machines, decision tree classifiers, random forest classifiers, AdaBoost classifier, and ensemble learning.
3 Numpy lessons
He was worried that the code is underperforming, so he offered his work free of charge. 2) Very knowledgeable. We coded an artificial neural network in NumPy to predict steering angles for a self driving car. You can see that he can answer any questions and guide through the code. 3) Well prepared. Jacob guided me through the assignment and explained everything like a teacher. It was obvious that he went through the assignment materials and prepared all files beforehand
Highly recommend to anyone
Stewart did a wonderful job assisting me through my graduate-level analytics course. He patiently walked me through several applications of pandas, numpy, matplotlib and others via python. He's a considerate tutor that always goes the extra mile, and I highly recommend him!