bhavesh0124/Deep-Learning-Container-Deployment-on-Amazon-Sagemaker---Titanic-Dataset

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bhavesh0124/Deep-Learning-Container-Deployment-on-Amazon-Sagemaker---Titanic-Dataset

bhavesh0124

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Deploy your Deep learning container algorithms on Amazon Sagemaker. I have deployed Tensorflow based container trained on the famous titanic dataset.

Smart-Attendance-System-using-Face-Recognition

Attendance System using face recognition. Fully automated, UI operated. The model was trained using Keras Sequential layers and Softmax function at the output layer. The data is maintained in MongoDB and CSV at the backend. UI is created using Tkinter

Portal-Executable-Images-Malware-Analysis-using-Deep-Convolutional-Networks

Classification of type of malwares from ten different common malwares families on windows portable exceutable image files using deep convolutional networks

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Breast-Ultrasound---Cancer-Detection-using-Unet-and-Efficient-Net

This the implementation of Breast Cancer detection, which is a classification problem on kaggle, which consists of many models using tensorflow

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Django-Website

Basic Python Django web application using Pycharm.

Future-Sales-Prediction

This a famous problem on Kaggle where we have to predicted monthly sales of different shops with different item_ids. Some of the important features I used were lagged features, holidays, mean encoding and creating combinations of item and shops on data block num level.

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