Machine Learning Projects

Object Detection in Images

Tensorflow and Keras
1) SSD_MobileNet Model
2)  Mask-RCNN_resnet50 model

Classification Problem on MNIST dataset

The classification problem of famous MNIST dataset was evaluated by using different Classifiers and Algorithms.

• KNN Classifier

• Deep Neural Network using Keras

• Logistic Regression

• Naive-Bayes Classifier

Regression Algorithm

The model was trained using 5 fold cross validation and tested on various UCI datasets.

Transfer Learning

• Two Algorithm were developed using the knowledge of 2 pre-trained models VGG-16 and VGG-19 respectively.

• This deep- neural network was developed using Keras library and trained and tested on different image classification datasets