CE362 : Machine learning

CO1 : Addressing data quality issues, effectively cleaning and preprocessing raw datasets, and preparing them for machine learning    algorithm. 

CO2 : Capable of building predictive models for classification and regression tasks, and skilled in selecting, training, and evaluating machine learning algorithms on labeled data. 

CO3: Solid understanding of unsupervised learning methods, including clustering and dimensionality reduction 

CO4: Proficient in implementing and optimizing gradient boosting models for both regression and classification tasks  

CO5: Understand the principles and architecture of Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) Networks.