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1. COVID-19_Chest_X-ray_Image_Generation_using_ResNet50_and_DCGAN_Model COVID-19_Chest_X-ray_Image_Generation_using_ResNet50_and_DCGAN_Model Public

   This repository provides codes with datasets for the generation of synthesis images of Covid-19 Chest X-ray using DCGAN as generator and ResNet50 as discriminator from a set of raw covid-19 chest x…

   Jupyter Notebook 4 3

2. Stock_Market_Prediction_using_Numerical_and_Textual_Analysis Stock_Market_Prediction_using_Numerical_and_Textual_Analysis Public

   Here, I have used 6 different Neural Network models to carry out the analysis & Prediction of stock price/performance and achieved 85.5% accuracy with Gradient Boosting Model.

   Jupyter Notebook 2

3. Corona-Care Corona-Care Public

   This is an android application which was build to spread awreness during COVID19 pandemic 2019.

   Java

4. Face_mask_detection_using_MobileNetV2_CNN_model Face_mask_detection_using_MobileNetV2_CNN_model Public

   Here, I have transfer learning the pre-trained MobileNet V2 CNN model to detect whether the person is wearing a mask or not

   Jupyter Notebook

5. Image_Based_Air_Pollution_detection_using_InceptionV3_Model Image_Based_Air_Pollution_detection_using_InceptionV3_Model Public

   In this project work, the main motive is to build a deep learning model to detect air pollution from real-time images. In order to achieve that goal, we have collected data from different sources a…

   Jupyter Notebook 8 4

6. Speaker-Identification-Using-Ensemble-Learning-Approach-Considering-CNN-As-Feature-Extractor Speaker-Identification-Using-Ensemble-Learning-Approach-Considering-CNN-As-Feature-Extractor Public

   Forked from SandyPanda-MLDL/Speaker-Identification-Using-Ensemble-Learning-Approach-Considering-CNN-As-Feature-Extractor

   Speaker Identification Using Ensemble Learning Approach Considering CNN As Feature Extractor

   Jupyter Notebook