Strengths and summary:
The report is very good in terms of readability and overall clarity. The explanations of the processes involved in Bayesian optimization were very good. I also liked how the report incorporated visualizations to aid the explanations. The report also talks about different ways to implement Bayesian optimization in python.
Areas of improvement:
The report mainly focuses on using some dataset to demonstrate Bayesian optimization and different variants and implementations. While not strictly necessary, it would have been nice to see the report use Bayesian optimization to develop a complete model.
Strengths and summary: The report is very good in terms of readability and overall clarity. The explanations of the processes involved in Bayesian optimization were very good. I also liked how the report incorporated visualizations to aid the explanations. The report also talks about different ways to implement Bayesian optimization in python.
Areas of improvement: The report mainly focuses on using some dataset to demonstrate Bayesian optimization and different variants and implementations. While not strictly necessary, it would have been nice to see the report use Bayesian optimization to develop a complete model.
Score: 100