Face Recognition with Machine Learning + Deploy Flask App (Udemy.com)

Worst part is these guys go with different packages and in git they are giving some other package list which gives errors. I am dropping this from corporate certification submission. Avoidable material!

I am very satisfied with this course. Special thanks to the instructors who got on a call with me and helped me solve all my errors that I was having a trouble with. He also helped me in understanding the code. Truly appreciate his effort!

I have learnt to make a web page which is why i have taken this course. This was very useful in developing a skill which I wanted to develop. Less videos and in less time i was able to built the webpage from scratch. Some more enhancements can be made like how to add some features through it and all that. Overall I had a great experience. Thank you.

Teacher has a great talent to explain everything in this course clearly. I recommend this course for those who want to make a real world project applying machine learning theory. Thanks so much!!!

The course is excellent, with big thumbs up. The instructor is very responsive & has good knowledge to resolve technical issues. Suggestion: Please create more courses like this, with end-to-end deployment on various cloud platforms.

Very good course, I wish they had at the end of the course a step-by-step deployment to heroku. I tried it myself with few different tutorials, but as I am a beginner I couldn't figure out the errors.

Well structured and highly practical course for anybody who wants to acquire in-depth knowledge of machine learning. Sudhir and his team have done an amazing job here and I am waiting for the TensorFlow video training.

I enjoyed the course. Great application of Machine Learning. The explanations and theory around the ML was a bit light for my liking, but the course was great for demonstrating how to build an ML pipeline. I found that the best explanations and pace was with the app's front-end. That was very helpful.

The course is unique; it is geared towards delivering a hands-on experience by deploying ML models (face recognition) on the web. It uses Python's web application Flask, which I feel is good to learn when one needs to showcase your work. The instructor's explanation is clear, although the course could have been more engaging by accomodating Convolution Neural Nets along with the prescribed Harr Cascade classifier.

This course was very informative. I was working on an image detection problem to detect plant diseases and I had to deploy and create website for it. this course was the key for me finishing and creating my flask api website.