Skip to content
View MakrandBhandari's full-sized avatar
Block or Report

Block or report MakrandBhandari

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned

  1. Online-Retail-Store---Association-Rules-and-Apriori-Algorithm Online-Retail-Store---Association-Rules-and-Apriori-Algorithm Public

    Frequent itemsets identified using apriori algorithm and association rules were formed for further analysis

    Jupyter Notebook

  2. Spam-Detection-using-Multinomial-Naive-Bayes-Classifier Spam-Detection-using-Multinomial-Naive-Bayes-Classifier Public

    Converting message (text data) to TFIDF matrix and using Multinomial Naive Bayes we detect whether given message is spam or ham

    Jupyter Notebook

  3. Alexa-products-sentimental-analysis Alexa-products-sentimental-analysis Public

    Amazon Alexa Product Reviews Sentimental Analysis

    Jupyter Notebook 1

  4. K-Means-Clustering-using-Logic K-Means-Clustering-using-Logic Public

    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.

    Jupyter Notebook

  5. Decision-Tree-algorithm-applied-to-predict-bank-loan-defaulters-to-loan Decision-Tree-algorithm-applied-to-predict-bank-loan-defaulters-to-loan Public

    Decision Tree algorithm used to predict defaulters of bank loan customers.

    Jupyter Notebook

  6. Random-Forest-Classifier-to-predict-type-of-cancer-observed-in-patient Random-Forest-Classifier-to-predict-type-of-cancer-observed-in-patient Public

    Random Forest classification modeling was used to predict type of cancer (Malign / Benign) observed in patient.

    Jupyter Notebook