- Project aims to classify the tumor as benign or malignant based on various features.
- dataset trained on seven different classification models with Decision Tree Classifier having best accuracy.
- Link
- Unsupervised Learning proejct that aims at clustering the customers. Uses K-Means Clsutering and Heirarchial Clustering
- Optimal number of clusters found through elbow method and dendrogram.
- Link
- project aims at classifying the wehther individuals have diabetes or not based on various parameters.
- dataset trained on seven different models out of which Random Forest Classifier had the best accuracy.
- link
- A convolutional neural network written with tensorflow that aims to classify whether the input image is that of a dog or a cat.
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- A artificial neural network that aims to predict the output electrical enery of a power generation plant.
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- A supervised machine learning project that aims to classify the particles hitting the telescope as hadrons or gamma particles.
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- Project aims at predicting the cost of medical insurance using the physical, fianncial and geographical parameters of the individual.
- link