santoshsahini19 Goto Github PK

agglomerative-clustering1

Modeling a agglomerative clustering algorithm using a dataset which is randomly generated.

agglomerative_clustering2

Built a model which uses agglomerative clustering to find the most distinctive clusters of vehicles.

big-data-analytics-using-spark

classification-using-cnn

customer-churn-ann

decisiontree

Implemented a decision tree classifier to predict the class of a unknown patient, or to prescribe it to a new patient.

delta_training_rule

k_nearest_neighbors

Built a k nearest neighbors algorithm which classifies a data point based on it's neighboring data points. I have used data of customers of a company which gives specific information as age, employee id etc.

kmeans_clustering1

Built a k-Means clustering algorithm with randomly generated data.

kmeans_clustering2

Customer segmentation using k-means clustering algorithm

logistic-regression

Created a model using a telecommunication company dataset to predict when its customers will leave for a competitor, so that they can take some action to retain the customers.

movie-review-sentiment-analysis

music-rec-system

scene-segmentation-project

simplelinearregression

Built a simple linear regression model which predicts the amount of CO2 emitted taking one attribute from different set of attributes. In this project I have predicted CO2 emissions based on engine size of a vehicle.

spamdetection-sentimentanalysis-using-nlp

support-vector-machines

Implementation of support vector machines to build and train a model using human cell records, and classify cells to whether the samples are beingn or malignant.