Data Science Bootcamp: Build & Deploy 45 Real World Projects

Machine learning is not like any other technology, but it is in many cases the only technology that can solve certain problems. We need to ensure that all people involved in the project have a common understanding of what is required, how the process works, and that we have a realistic view of what is possible with the tools at hand. To boil down all this to its core components we could consider a few important rules:

create a common ground of understanding, this will ensure the right mindset

state early how progress should be measured

communicate clearly how different machine learning concepts works

acknowledge and consider the inherited uncertainty, it is part of the process

In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (NLP) Web Applications Projects With Python (Flask, Django, Heruko, Streamlit Cloud).

We’ll cover everything you need to know for the full data science and machine learning tech stack required at the world’s top companies. Our students have gotten jobs at Dell, Google Developers, TCS, Wipro, and other top tech companies! We’ve structured the course using our experience teaching both online and in–person to deliver a clear and structured approach that will guide you through understanding not just how to use data science and machine learning libraries, but why we use them. This course is balanced between practical real–world case studies and mathematical theory behind the machine learning algorithms.