I took him for Stats 101B and Stats 101C, and honestly, I don't think he's that bad. He is definitely an unclear lecturer, but supplies an abundance of slides (which lack adequate information), so you know what to study (I looked in the textbooks to solidify my understanding of the material). He is unresponsive, but TAs can usually answer most of your questions about homeworks and projects. For 101C, we had a midterm (in-person, VERY fair), a final (take-home, easy), and a group project on Kaggle where teams were ranked by performance (we were around 13/32 and got an A+, so I don't think grading was very harsh). We also had 6 homeworks, which varied in difficulty (all on R). At the end of the day, his tests are pretty easy, his projects are graded nicely, and he cares about his students doing well in his class. Although he is a bad lecturer, don't be afraid to take him!

Almo is my favorite professor that I have taken here (and the stats dept has some excellent professors). He is a bit disorganized, but his lectures are excellent and engaging. He is very approachable outside of class and very nice during office hours. The final project was very interesting and a lot of fun to do. The midterm and final were quite fair, and tested your understanding of the material instead of focusing on pointless calculations. Overall 10/10

Almo is a very caring professor, but I have had (way) better lecturers. Material is very similar to Miles' 102B class (basically Intro to ML). I absolutely got destroyed from the all the exams (probably just me, mean and median were B+ and B- for midterm and final), thus ending with a B+ despite performing very well on the Kaggle project. Exams ask a lot about conceptual stuff and has an actual programming question, but it was the conceptual stuff that throws me off since we don't usually get questions on those in our homework and it was relatively hard to find practice questions.

Dr. Almohalwas is the best professor I have had thus far! The class itself is definitely engaging and really useful since you learned so much! (KNN, logistic regression, LDA, QDA, PCA, GAM,...) He is very clear during lectures and very helpful during office hours. I believe the tests are a bit short and difficult, so one needs to attend lectures and be engaged a lot, but it pays off. The group project is really useful and can be considered real-life applications. Overall, Dr. Almo is great and I have never learned so much useful information in a single class!

Definitely worst of the worst.