This course is designed for both beginners or experienced developers looking to make the jump to Machine Learning and Python.

We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon. It’s then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference. You won't find academic, deeply mathematical coverage of these algorithms in this course the focus is on practical understanding and application of them.

In the course we will do 10 machine learning projects using Python, projects that we will be doing are:

1. Students Marks Prediction with Python

2. Student Placement in Campus with Python

3. Heart Disease Prediction with Python

4. Gold Price Prediction with Python

5. Car Price Prediction with Python

6. Loan Prediction with Python

7. Titanic survival prediction with Python

8. Iris Species Prediction with Python

9. Diabetes Prediction with Python

10. Rock vs Mine Prediction with Python

At the end of the course you will have complete understanding of machine learning and python. Excited to see you inside!