this project allows the classification of birds on the basis of length and width of various bones.

Basics of CNNs. Basics of neural neworks. Basics of dropouts,optimizers,loss functions. working of Tensor ow and Keras.

This project was a a binary image classification problem performed by using the convolutional neural network

Concepts of Natural language processing.

text preprocessing. Basics of pre-trained models like Word2Vec. Concepts of Feature engineering in text data.

Concepts of Natural language processing. text preprocessing. Basics of pre-trained models like Word2Vec. Concepts of Feature engineering in text data.

Application of classical machine learning and feature engineering. Development of independent desktop application. Deployment of model on web . database connectivity and used Linux..

Concepts of data analysis and data preprocessing. Basics of regression and classi cation. development of desktop application using python.