nsh-786

Facial-Emotion-Recognition-using-CNN

A deep learning and image processing project used to predict the emotions of a person in image.

certified-aws-developer-associate-notes

2024 AWS developer associate exam

The-Kaggle-Book

Code Repository for The Kaggle Book, Published by Packt Publishing

Data-Science-Interview-Preperation-Resources

Resoruce to help you to prepare for your comming data science interviews

Super-Learner-Ensemble

The Super Learner is a heterogeneous stacked ensemble classifier. This is a classification model that uses a set of base classifiers of different types, the outputs of which are then combined in another classifier at the stacked layer. The Super Learner was described in (van der Laan et al, 2007) but the stacked ensemble idea has been around for longer than that - for example (Wolpert, 1992).

Classification-of-Japanese-Population-using-Individual-as-well-as-Stacked-Models

stacked-ensemble-model

Build a framework for stacked ensemble model used for classification, using a preprocessor-base_models-meta_model framework

Anaphones

Anaphones are like anagrams, but for sounds.

Chapter3

Chapter 3: Text and Speech Basics

Chapter4

Chapter 4: Basics of Deep Learning

Chapter6

Chapter 6: Convolutional Neural Networks

Chapter7

Chapter 7: Recurrent Neural Networks

Chapter8

Chapter 8: Automatic Speech Recognition

Chapter10

Chapter 10: Multi-task Learning

Chapter11

Chapter 11: Transfer Learning/Domain Adaptation

Chapter12

Chapter 12: End-to-end Speech Recognition

Chapter13

Chapter 13: Deep Reinforcement Learning for Text and Speech

Chapter5

Chapter 5: Embeddings

Chapter9

Chapter 9: Attention and Memory Augmented Networks

Data-Science--Cheat-Sheet

Cheat Sheets