Poseidon Poseidon

0. Goal of this lecture 1. Overall scenario of data analysis (ml/dl) 1.1 what is Machine Learning & Deep learning 1.2 kinds of ml supervised learning / unsupervised / reinforcement 1.3 problems in ml (point of Data) not enough data doesn't have enough Representativeness . bad quality data (error ,noisy , outlier) not related features (Feature engineering can solve this problem) (point of Mod..