DS Concepts DS Languages

Simple Returns using Python: FA1

Simple Returns using Python Hi MLEnthusiasts! Today, we’ll be learning the concept of simple rate of return and how to calculate simple returns using python. And with this article Financial Analytics: Part 1 we are starting are Financial Analytics tutorial series. Through this series you will learn all aspects of Financial Analytics & will become […]

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Financial Analytics: Part 1

Hi MLEnthusiasts! Today, we’ll be learning the concept of simple rate of return and how to calculate it using python. So, let’s get started by understanding the concept of Simple Rate of Return. Simple Rate of Return¶ According to investopedia, Simple Rate of Return is defined as the net gain or loss on an investment […]

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Data Analysis Data Visualization Machine Learning

Prediction of Quality of Wine

We alsways thought, that “How we can predict quality of Wine?”, in this project we are going to solve that question only. We will be using a Red-Wine data set being provided on Kaggle, can be found at “https://www.kaggle.com/vishalyo990/prediction-of-quality-of-wine/data“. It contains 12 columns or features describing the chemical composition of Wine and its Quality score […]

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DS Concepts DS Languages

Predict Quality of Wine

Prediction of Quality of Wine We always thought, that “How we can predict quality of Wine?”, in this project we are going to solve that question only. We will be using a Red-Wine data set being provided on Kaggle, can be found here. It contains 12 columns or features describing the chemical composition of Wine […]

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Uncategorized

Clustering and Its Implementation Using R

Hi MLEnthusiasts! Today, we will implement a case-study involving Credit Card Dataset for Clustering. We will discover customer segments to define marketing strategy. The dataset has been taken from Kaggle and the dataset has the following variables: – CUST_ID – BALANCE – BALANCE_FREQUENCY – PURCHASES – ONEOFF_PURCHASES – INSTALLMENTS_PURCHASES – CASH_ADVANCE – PURCHASES_FREQUENCY – ONEOFF_PURCHASES_FREQUENCY […]

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