Published inTowards Data Science·PinnedMember-onlyBuilding A Real-time Dashboard Using Python Plotly Library And Web ServiceNote from the editors: Towards Data Science is a Medium publication primarily based on the study of data science and machine learning. We are not health professionals or epidemiologists, and the opinions of this article should not be interpreted as professional advice. To learn more about the coronavirus pandemic, you…Python10 min readPython10 min read
Published inThe Handbook of Coding in Finance·Mar 25Member-onlyPredict Stock Movement Using Logistic Regression in PythonIn this article, we are going to build a logistic regression model to predict stock movement based only on the historical daily changes of price and volumes. The model will be built in Python. Disclaimer: The writing of this article is only aimed at demonstrating the steps to build a…Finance5 min readFinance5 min read
Published inThe Handbook of Coding in Finance·Feb 23Member-onlyCalculation of Weighted Average Cost of Capital (WACC)- Make Easy with Python APIWeighted Average Cost of Capital (WACC) is a financial metric that represents the average cost a company incurs to finance its operations through both debt and equity. …Finance7 min readFinance7 min read
Published inThe Handbook of Coding in Finance·Feb 18Member-onlyPractical Guide to Building a Useful Stock Valuation Calculator in PythonStock valuation is the process of determining the intrinsic value of a company’s stock. It involves using various methods and techniques to estimate the current or future worth of a company’s shares based on its financial performance, industry trends, and other relevant factors. …Finance7 min readFinance7 min read
Published inThe Handbook of Coding in Finance·Feb 13Member-onlyHow to Estimate Stock Returns with Quick and Easy Average Method in PythonThe expected return of a stock is an estimate of the future rate of return on an investment in a stock. It is calculated as the average return that an investor can expect over a specified time period. The expected return of a stock is a key factor that investors…Finance4 min readFinance4 min read
Published inThe Handbook of Coding in Finance·Feb 11Member-onlyA Quick Guide to Calculating Stock Returns with PythonStock return is a measure of the profit or loss that an investor realizes from an investment in a stock. It represents the change in an investment’s value over a specific period of time, usually expressed as a percentage of the initial investment. …Finance5 min readFinance5 min read
Published inDS Notes·Jan 23Member-onlyBuilding GPT-Powered Tagline Generation App using Streamlit in PythonStreamlit is a powerful and easy-to-use framework for building machine learning and data science apps. One of the possible applications of Streamlit is to create a tagline generation app powered by GPT (Generative Pre-trained Transformer) model developed by OpenAI. This app allows users to input a keyword or phrase and…Python6 min readPython6 min read
Published inDS Notes·Jan 4Member-onlyPolynomial Regression with Scikit-Learn — A Quickstart GuidePolynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modelled as an nth degree polynomial in x. [Source: Wikipedia]. In this article, we are going to use Python Scikit-learn to build a polynomial regression model and…Python5 min readPython5 min read
Published inDS Notes·Dec 31, 2022Member-onlyMultiple Linear Regression with Scikit-Learn — A Quickstart GuideMultiple linear regression is an extension of simple linear regression. It is a model for predicting the value of one dependent variable based on two or more independent variables. In this article, we are going to use Python scikit-learn library to build a multiple linear regression model to estimate insurance…Python5 min readPython5 min read
Published inDS Notes·Dec 26, 2022Member-onlySimple Linear Regression with NumPy — A Quickstart GuideSimple Linear Regression is an algorithm used to estimate the relationship between two quantitative variables. We use simple linear regression when we want to study: the relationship is between two quantitative variables (e.g. weight vs height, years of experience vs salary, etc) the value of dependent variable, y, at a…Python4 min readPython4 min read
