Full Stack Data Science & Machine Learning BootCamp Course

Welcome to the Full Stack Data Science & Machine Learning BootCamp Course, the only course you need to learn Foundation skills and get into data science. At over 40+ hours, this Python course is without a doubt the most comprehensive data science and machine learning course available online. Even if you have zero programming experience, this course will take you from beginner to mastery.

Here's why:The course is taught by the lead instructor at the PwC, India's leading in-person programming bootcamp. In the course, you'll be learning the latest tools and technologies that are used by data scientists at Google, Amazon, or Netflix. This course doesn't cut any corners, there are beautiful animated explanation videos and real-world projects to build.

The curriculum was developed over a period of three years together with industry professionals, researchers and student testing and feedback. To date, I've taught over 10000+ students how to code and many have gone on to change their lives by getting jobs in the industry or starting their own tech startup. You'll save yourself over $12,000 by enrolling, but get access to the same teaching materials and learn from the same instructor and curriculum as our in-person programming bootcamp.

We'll take you step-by-step through video tutorials and teach you everything you need to know to succeed as a data scientist and machine learning professional. The course includes over 40+ hours of HD video tutorials and builds your programming knowledge while solving real-world problems. In the curriculum, we cover a large number of important data science and machine learning topics, such as:MACHINE LEARNING - Regression: Simple Linear Regression, , SVR, Decision Tree , Random Forest,Clustering: K-Means, Hierarchical Clustering AlgorithmsClassification: Logistic Regression, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest ClassificationNatural Language Processing: Bag-of-words model and algorithms for NLPDEEP LEARNING -Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Long short term Memory, Vgg16 , Transfer learning, Web Based Flask Application.