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1. kmeans-and-spectral-clustering-from-scratch kmeans-and-spectral-clustering-from-scratch Public

   Bespoke python implementation of the KMeans clustering and Spectral clustering algorithms from scratch

   Jupyter Notebook

2. pca-algorithm-from-scratch pca-algorithm-from-scratch Public

   a python only implementation of the principal component analysis algorithm

   Jupyter Notebook

3. rapid-miner-hear-disease-project rapid-miner-hear-disease-project Public

   A quick look at RapidMiner Studio v9.10 to see how it helps in quickly applying multiple models to a data-set

4. self-supervised-model-ResNet18-CIFAR10-CIFAR100-SimCLR self-supervised-model-ResNet18-CIFAR10-CIFAR100-SimCLR Public

   Implemention of a ResNet18 self-supervised model for transfer learning using the SimCLR framework. The CIFAR10 and CIFAR100 datasets are used.

   Jupyter Notebook 1

5. simple-map-shuffle-reduce-function simple-map-shuffle-reduce-function Public

   bespoke python implementations of the map reduce algorithms

   Jupyter Notebook

6. sparse-auto-encoder-and-kmeans sparse-auto-encoder-and-kmeans Public

   Jupyter Notebook