All about my preparation, tips and experience.
Final part of my experience: Semi-finals and Grand Finale.
Includes step by step explanation of the code needed to building a Deep Learning Model using the Iris species dataset.
Includes the behind the scenes of LDA and basic overview of FDA and QDA.
An in-depth look at how ensemble learning combines multiple weak models to build stronger, more accurate regression predictors.
Explores how Speech Emotion Recognition technology can detect and support mental health conditions through emotional analysis of voice.