Nitish Sir wants to recruit teachers to teach along in the course and for that he had to evaluate applicants thats why he conducted trail session in DSMP 2.0 course where the selected applicants comes and take a 2 Hours long session on assigned topic (assigned by Nitish Sir). The applicant take seesion and the students had to fill a Google Forms Feedback Form. Applicants are evaluted on the basis of feedback given by the students.

Session are conducted in March, 2024. and all the trial session are awesome and amazing (except some). I have learned many new concepts from them and I’ve rank them below on the basis of my experiences.

Best Sessions

• Model Explainability (by Balaji Chippada)
• Solving a banking problem using ML (by Rohan Azad)
• NER using NLTK and Spacy (by Md. Amanatullah)
• Intro to Power BI (by Vibhore Aggarwal)
• Interview Qs on Tree Based Models (by Ajay Sati)
• Introduction to Time Series Forecasting (by Ajinkya Mohite)
• Interview Questions on Regression (by DP Sharma)
• Intro to FastAPI (by Md. Misbahullah Sheriff)
• Project Based Interview Sessions (by Rohan Azad)
• ML Interview Questions Sessions (by Rohan Azad)

Mediocre Sessions

• Intro to PyTorch (by Rishab Tomar)
• Latent Dirichlet Allocation (LDA) (by Aman Bansal)
• Prompt Engineering (by Saksham Kumar)
• Anamoly Detection (by Chandramouli Das)
• eKYC using Computer Vision (by Bibek Rauth)
• A/B Testing (by Dixit Patel)
• Introduction of Langchain (by Sameer Singh)

Bad Sessions

• Interview Questions on Statistics (by Chirantan Lonkar)
• ResNET Paper Discussion (by Vinod Tiwari)
• Multi-Output Multi-Class Classification (by Prabin Kumar Nayak)

Thanks to Nitish Sir and all the Applicants for these amazing sessions.