Niteesha Balla's Projects
An AI chatbot for software services
Various ways of training CNN
A CNN model trained on CIFAR-10 dataset and achieved an accuracy of 79.58%
5 Data Augmentation Techniques and saving them
different methods for handling text
State-of-the-art models
Starter app for fastai v3 model deployment on Render
A CNN model is trained on MNIST dataset and achieved an accuracy of 99.25%
LSTMs learning alphabets in different ways
Implementation of drop-based and time-based learning rate decay
Implementation of basic Machine Learning Algorithms
A CNN model trained on IMDB dataset and achieved an accuracy of 88.71% and An LSTM trained on IMDB dataset and achieved an accuracy of 88.04%.
Analyzed the Starbucks dataset in order to help Starbucks make better decisions to increase its revenue and customers.
Classification of tiger, leopard and cheetah.
Various ways of visualizing CNNs
The WFH analysis gives us peopleβs general opinion about working from home and the idea about how this culture will continue in the future days.