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1. titanic_prediction titanic_prediction Public

   Given the age, sex, siblings on board, parents/children on board, ticket fare, predicting whether or not a passenger boarding titanic would survive or not.

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2. Iphone_purchase Iphone_purchase Public

   Given the age, gender and salary of a customer we predict whether or not they will or will not purchase using random forest classifier.

3. sentiment_anaysis sentiment_anaysis Public

   The dataset consists of 3000 reviews of amazon alexa products. Using svm classifier, the sentiment of the reviews were predicted

   Python

4. banking_customers-using-ann banking_customers-using-ann Public

   Given the details of a customer such as their credit score, no of years with the bank, using artificial neural networks it is predicted whether or not the customer will stay with bank.

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5. extracting-information-frm-financial-reports extracting-information-frm-financial-reports Public

   Given a financial report of a company crucial information such as polarity of the report, word count, average sentence length, fog index, complex word count and many other such indices were calcula…

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6. cat-or-dog-classification-using-cnn cat-or-dog-classification-using-cnn Public

   Given a dataset of 10000 images a cnn model was built to predict whether the image has a dog or a cat with an accuracy of 91%

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