Be prepared to study really hard for this one by yourself. A lot of abstract information in module 4 and 5. Takes a lot of hard work for this one to truly understand every concept. Final project was also challenging and definitely pushes you out of the comfort zone since many concepts not taught, but will accelerate your learning much more than previous course projects which were too easy.

This course introduces lots of useful regression models for data analysis. It also includes labs for using python libs to compute these models and interpret results. Absolutely fresh experience for me.

Found it a bit tougher to comprehend. More examples and formulas like the 'Logistic Regression' Module would have helped.

Very informative, steady and understandable... Just wish I can remember all the points made

Extremely challenging incredibly for beginners yet rewarding.

too deeper information. lab was nearly impossibles

it's a good course for begginers

Good detailed

Thanks

good

I would like to share a few observations. Firstly, the course is heavily focused on statistics, which might be challenging for someone specializing in mathematics. Additionally, in the final project, there is a notable absence of coverage on data engineering, despite appreciating the overall content. Upon completion, the course effectively covers a substantial portion of data science, but it would be beneficial to include more on data engineering.

It's ok, but worse than previous courses. It's confusing to listen to the instructor when it feels like she's just reciting from the screen. In the previous courses I felt like the instructors were experts.

The topics discussed were amazing but would have loved to dive deep a bit into Anova, Ancova, and other hypothesis testing.

Transcripts have many mistakes. Good course otherwise.

Probably the weakest course in the whole curriculum. A lot of concepts are mentionned but it is too ambitious to consider so many complicated topics in such a short amount of time. Lasso and Ridge regressions are barely mentionned, important concepts are considered in just two minutes. It may have been a good idea to have too courses on all this because it's very important to feel comfortable with regression techniques before starting the Machine Learning course. It took me a lot of time on other resources to get what I consider to be the adequate knowledge to go on with the next course. The teacher wants to cover too many things in a very limited number of videos.