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1. Classification-of-rice-grains-using-Kmeans-clustering Classification-of-rice-grains-using-Kmeans-clustering Public

   There are different rice grains being cultivated. these rice grains have different sizes and shapes. In this project, different rice grains are clustered using Kmeans clustering based on their sizes.

   Jupyter Notebook

2. Kmeans-clustering-for-classifying-customers-of-a-mall-based-on-annual-income-and-spending-score Kmeans-clustering-for-classifying-customers-of-a-mall-based-on-annual-income-and-spending-score Public

   Kmeans is a useful algorithm in machine learning. Its used for clustering the data. In this project, I have clustered the customers of a mall based on their annual income and spending score using K…

   Jupyter Notebook

3. Laplace-Equation Laplace-Equation Public

   2D Laplace equation/ Diffusion equation in Python. 2 Functions are defined one that plots data in a 3D projection and the second one that iterates to solve for p until the change in the L1norm of p…

   Jupyter Notebook

4. EEG-signal-classification-using-Artificial-Neural-Networks EEG-signal-classification-using-Artificial-Neural-Networks Public

   Classification of EEG signals into normal and abnormal target classes using Artificial Neural Networks(ANN). This is a binary classification problem. Based on this classification different brain di…

   Jupyter Notebook 1

5. Prediction-of-Breast-Cancer-from-Histopathological-Images Prediction-of-Breast-Cancer-from-Histopathological-Images Public

   Different networks, 2D CNN, 1X1 filter, VGG16 and Inception network is used for predicting breast cancer from histopathological images. Performance of different models are compared and found out th…

   Jupyter Notebook 1 1

6. TGN-for-user-item-interaction-prediction-in-e-commerce-platform TGN-for-user-item-interaction-prediction-in-e-commerce-platform Public

   TGN for user-item interaction prediction in an ecommerce platform.

   Python