ML_projects

Breast Cancer Detection

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

Customer Segmentation

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

Diabetes Prediction

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

Dog and Cat Image Classification

A convolutional neural network written with tensorflow that aims to classify whether the input image is that of a dog or a cat.
link

Electrical Energy Output Prediction

A artificial neural network that aims to predict the output electrical enery of a power generation plant.
link

MAGIC Gamma Telescope Project

A supervised machine learning project that aims to classify the particles hitting the telescope as hadrons or gamma particles.
link

Medical Insurance Cost Prediction

Project aims at predicting the cost of medical insurance using the physical, fianncial and geographical parameters of the individual.
link