Kaggle's 13-week course offers a comprehensive introduction to machine learning with TensorFlow, covering supervised, unsupervised, and deep learning. Expect hands-on projects and a 10-hour weekly commitment.
Cezanne Camacho, Mat Leonard, Luis Serrano, Dan Romuald Mbanga, Jennifer Staab, Sean Carrell, Josh Bernhard , Jay Alammar, Andrew Paster, Juan Delgado and Michael Virgo
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"Amazing program! The projects are designed so delicately, integrating almost all essential and keynotes from the course material, impressive! Another most precious thing is the review and feedback from the reviewer. OMG it is very detailed and personalized, and each piece of advice and further recommendation and suggested references are so useful that keep you going forward in the right direction. Stay Udacious, stay competent!"
The program has been great from the challenge phase till now. I've learnt a lot about the math behind many algorithms in this course and outside and I've also gotten useful tips to improve my modelling like using PCA and also getting feature importance to reduce features hence making the model interpretable and also save time. The first project was awesome as I was able to research and know more about the pros and cons of many models. This course has been great for me.
Over the last 6weeks, I've built confidence in the Supervised Machine Learning coupled which is the Normal Curriculum. In addition, I've gained indept knowledge using some of the Extracurricular courses, such as SQL, Statistics and probability as these are just concise and well explained. With all these, I'm building the right skillsets moving forward to become a Data Scientist (Machine Learning Engineer)
Just finished the first project, it had lots of guidance which kept me motivated. The reviewer gave me a lot to read on further too. Great experience so far.
Excellent Nanodegree program! Principles and practices of machine learning are covered with very well-structured content, video lessons and amazing real-world projects. Mentors and reviewers are very helpful with guidance, feedback and recommended references. It is worth doing this program if you not only want to learn the fundamentals but also get hands-on practice with machine learning (Supervised Learning, Deep Learning and Unsupervised Learning).