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Makrand Bhandari's Projects

gaussian-naive-bayes-from-scratch icon gaussian-naive-bayes-from-scratch

Building simple Gaussian Naive bayes classifier from sratch without using it's inbuilt scikit learn library for 2 continous features dataset

hr-attrition-rate-analysis-and-prediction icon hr-attrition-rate-analysis-and-prediction

Identification of the Employees who are most likely to switch the jobs for package negotiations & Job offerings. Also, Analyzing the particular departments where the attrition rate is high and to take the preventive measures by using Decision Tree Classifer, Random Forest Classifier, Support Vector Classifier, Logistic Regression, K Nearest Neighbor and Gaussian Naive Bayes.

k-means-clustering-using-logic icon k-means-clustering-using-logic

Here, I have implemented K Means Ckustering algorithm from scratch using algorithm steps without using it's inbuilt sklearn library. I have used two features only for simplicity purpose.

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