inzva-applied-ai-homeworks

These homeworks ,about different areas of deep learning and machine learning, are given in Applied AI Program at inzva.

CIFAR-100 -> CNN solution for CIFAR-100 dataset (0.29 accuracy)

fraud_detection -> Kaggle Fraud Detection Competition Data Preprocessing and comparision of CATBoost and XGBoost with Bayesian and Random search (0.74 accuracy)

crawling_news -> Crawling websites and preprocessing crawled data. Then word2vec implementation of crawled words.

char_based_RNN -> Using character based RNN Model for generating sentences with trained model.

Template of some notebooks are prepared by applied ai guides. Thanks to all of guides, and inzva community for the applied ai program.