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NDVI-Extraction-using-Google-Earth-Engine-GEE-
Transfer_Learning_Binary_Classification
I will implement the binary-class image classification using the VGG-16 Deep Convolutional Network as a Transfer Learning framework where the VGGNet comes pre-trained on the ImageNet dataset. For the experiment, we will use the Kaggle dogs-vs-cats dataset and classify the image objects into 2 classes. The classification accuracies of the VGG-16 model will be visualized using the confusion matrices.Cloud-Mask-of-Landsat8-Data-Using-Google-Earth-Engine-GEE-
Soil_Moisture_Retrival
Extracting and plotting soil moisture using SMAP dataML
Surface-Soil-Moisture-SSM-retrieval-using-change-detection-approach
Script estimates surface soil moisture using change detection algorithm (TU Wien Change Detection model).Script-to-Calculate-NDVI-using-Tensorflow-and-Numpy
Healthcare_bot
NLP-basics
Healthbot
Creation of HealthbotSMAP_Soil_Moisture
# The code for automatically downloading SMAP data, obtains the moisture value for the Bangalore location, and then generates a time-series graph.recipe-app-api
Recipe API project.Naive-Bayes-Sentiment-Analysis
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