Introduction to Machine Learning & its applications
2nd December
Chanukya Patnaik (Co-founder, DPhi)
Data Preparation 101 for Machine Learning Model Building
5th December
Aarthi Kumar (Lead Data Scientist, Allianz Belgium)
Optimizing Machine Learning Models & Model Evaluation Metrics
10th December
Raviraj Dasari (Software Engineer II, Skellam AI)
End to End Machine Learning Model Building
12th December
Chanukya Patnaik (Co-founder, DPhi)
Importance of Human Interpretable models & Explainable A.I
15th December
Dipanjan Sarkar (Data Science Lead, Applied Materials & Google Developer ML Expert)
Model Deployment 101
19th December
Moez Ali (Creator of PyCaret, Business Intelligence and Analytics at PwC Canada)
Note: All the sessions will start at 4:00 pm CET/8:30 pm IST on the respective dates.
The duration of the sessions will be ~1.5 hrs (except for KICK-Off which will be for 30 mins).
@sanaomar yes, it is the same for the advanced track too, just the last 4 sessions are targeted towards them and the assignment’s difficulty level gradient is expected to be high in comparison to the beginner track learners
Hi, I am currently new to data science and ML, but can I do the beginner track and still attend, do the assignment and project of both the beginner and advanced track?