Advance Machine Learning With PythonPYTHON WITH JUPITER NOTEBOOK + ADV MACHINE LEARNING
This course begins with a brief learning in Python langage (Basics)
followed by Mathematical and statasical concepts which are pre-requesites
for building predictive models.
Finally, we will work on advance machine learning algorythms using practive exercises
Our aim to to offer a deep learning experience to the candidates which will make them capable of working independently
on their projects. The course is designed to start from the basic concepts and gradually move to the more advanced concepts.
If you are a novice and have no prior exposure to web technologies, you can still complete this course successfully.
- A batch generally consists of 4 to 8 students. This allows us to give focussed attention to every student and guage his or her learning curve.
- classroom Learning
- The classroom learning process involves, theory, live demos, Q & A sessions and exercises. We ensure active participation from all students in these sessions as they lay the foundation of the learning process
- The student has to go through 6 assessments, each having 30 queastions(in MCQ format). These assessment are conducted after completion of each major module. The student is expected to score a minimum of 60% in each assessment. This helps them to stay focussed on the current learning level
- The student is given practical exposure through 3 projects. Each project is sequentially done with increasing level of complexity and skills. The final project is a full functional application