Python Dictionary Comprehension with Examples
In this tutorial, we will cover how dictionary comprehension works in Python. It includes various examples which would help you to learn the concept of dictionary comprehension and how it is used in...
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Python : 10 Ways to Filter Pandas DataFrame
In this article, we will cover various methods to filter pandas dataframe in Python. Data Filtering is one of the most frequent data manipulation operation. It is similar to WHERE clause in SQL or you...
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What are *args and **kwargs and How to use them
This article explains the concepts of *args and **kwargs and how and when we use them in python program. Seasoned python developers embrace the flexibility it provides when creating functions. If you...
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Python : Complete Guide to Date and Time Functions
In this tutorial, we will cover python datetime module and how it is used to handle date, time and datetime formatted columns (variables). It includes various practical examples which would help you to...
View ArticleCalculate KS Statistic with Python
Kolmogorov-Smirnov (KS) Statistics is one of the most important metrics used for validating predictive models. It is widely used in BFSI domain. If you are a part of risk or marketing analytics team...
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Add Loader for Shiny R
This tutorial covers how you can add beautiful loader in R shiny app. It includes 10 types of CSS animated loaders and animated image (GIF) which you can include in your app for better user experience....
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Precision Recall Curve Simplified
This article outlines precision recall curve and how it is used in real-world data science application. It includes explanation of how it is different from ROC curve. It also highlights limitation of...
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Python : Learn Object Oriented Programming in 3 Hours
This tutorial outlines object oriented programming (OOP) in Python with examples. It is a step by step guide which was designed for people who have no programming experience. Object Oriented...
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Datasets for Credit Risk Modeling
This tutorial outlines several free publicly available datasets which can be used for credit risk modeling. In banking world, credit risk is a critical business vertical which makes sure that bank has...
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Weight of Evidence and Information Value for Continuous Dependent Variable
In this post, we will cover how you can use Weight of Evidence (WOE) and Information Value (IV) when dependent variable is continuous. Information Value (IV) is used to measure predictive power of...
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A Beginner's Guide to Credit Risk Modelling
This article explains basic concepts and methodologies of credit risk modelling and how it is important for financial institutions. In credit risk world, statistics and machine learning play an...
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Gini, Cumulative Accuracy Profile, AUC
In this article, we have covered how to calculate Gini Coefficient, Cumulative Accuracy Profile (CAP) and Area under Curve (AUC) of a predictive model. The purpose of this article is to explain these...
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Credit Risk: Vintage Analysis
This tutorial explains the concept of vintage analysis and how it is used in banking. Vintage analysis is also called 'cohort' analysis. Introduction to Vintage AnalysisIn credit risk, it is a popular...
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Roll Rate Analysis
In this article, we will cover what roll rate analysis is and how it is used in credit risk domain. Introduction to Roll Rate AnalysisRoll rate analysis is used for solving various type of problems....
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Complete Guide to Marketing Mix Modeling
In this article we will cover marketing mix modeling and how it is used in various domains. We will also touch upon what questions marketing mix modeling answers along with basic model implementation...
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Loan Amortisation Schedule using R and Python
In this post, we will explain how you can calculate your monthly loan instalments the way bank calculates using R and Python. In financial world, analysts generally use MS Excel software for...
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How to rename columns in Pandas Dataframe
In this tutorial, we will cover various methods to rename columns in pandas dataframe in Python. Renaming or changing the names of columns is one of the most common data wrangling task. If you are not...
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Learn Python for Data Science
This tutorial would help you to learn Data Science with Python by examples. It is designed for beginners who want to get started with Data Science in Python. Python is an open source language and it is...
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Translating Web Page while Scraping
Suppose you need to translate web page while scraping data from the website in R and Python. In google chrome, there is an option (or functionality) to translate any foreign language. If you are an...
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Zip code to latitude and longitude
This article describes how to get latitude and longitude by zip codes of all the countries across continents. It includes mapping of zip code or province to state / macro region. This is useful when...
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