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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