DL_Course_Assignment

Assignment

1.Lab02 -> EDA_PCA
2.lab03 -> Decision Trees & Random Forest
3.lab04-1 -> Perceptron & Adaline & Optimization
4.lab04-2 -> Regression
5.lab05 -> Regularization
6.lab06 -> Logistic Regression & Metrics
7.lab07 -> Non-Parametric Methods & SVMs
8.lab08 -> CV_Ensembleing
9.lab10 -> TensorFlow101 and Word2vec
10.lab12-1 -> CNN
11.lab12-2 -> Visualization_and_Style_Transfer
12.lab13 -> Seq2Seq Learning for Machine Translation
13.lab14-1 -> Autoencoder
14.lab14-2 -> GAN
15.lab16-1 -> Q_Learning
16.lab17-1 -> DQN & Policy Network