Forecasting Football Results -Part 1: Web Scraping
Python project exploring football results and betting odds
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How sentiment analysis can help your company
AI-powered systems are present almost everywhere nowadays. It serves company interests in many ways. One of them is sentiment analysis in real-time or batch-processed. Sentiment analysis is a method that can deduce/predict the global feeling of text chunks, comments, articles, and any text object. Given that company reputation and image are the first plan concerns for
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Estimation of text complexity
A tool to determine a complexity level of a given document
Read moreDocument Classification using NLP
Perform document classification into four defined categories (World, Sports, Business, Sci/Tech). Compare the classifier accuracy with different models ranging from Naïve Bayes to Convolutional Neural Network (CNN) and RCNN. By making use of different feature engineering techniques and extra Natural Language Processing (NLP) features create an accurate text classifier. Document/Text classification is an important task that
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Python REST APIs With Flask, Connexion, and SQLAlchemy – Part 3
Most modern web applications are powered by a REST API under the hood. That way, developers can separate the front-end code from the back-end logic, and users can interact with the interface dynamically. In this three-part tutorial series, you’re building a REST API with the Flask web framework. You’ve created a foundation with a basic Flask project and added endpoints, which you connected to a SQLite database. You’re also testing your API with Swagger UI API documentation that you’re building […]
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Credit Valuation Adjustment for Interest Rate Swaps with CDS Data
In this blog post, I will guide you through the convoluted nature of calculating CVA for an IRS step by step. Please find the accompanying Python Notebooks on my GitHub page. We will take a look at the 8 steps required to calculate the Credit Valuation Adjustment (CVA) for hedging against the risk of default of the counterparty when entering an Interest Rate Swap (IRS) using
Read moreConfusion matrix from scratch in python using no built-in functions.
In this article, I am writing my implementation of a confusion matrix using python and NumPy. This below function can calculate a confusion matrix of any size or number of classes. If you don’t know what a confusion matrix is, check out this awesome video on it
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Machine Learning Deep Dive #1: Bayesian Decision Theory
Welcome to the first article of the “Machine Learning Deep Dive” biweekly series. Each article will consist of a theoretical summary based on Ethem Alpaydın’s Machine Learning book. For each method, there will be a separate GitHub repository containing sample codes and examples prepared from the scratch and/or using the open-source Python libraries. Wish you pleasant reading!
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