Articles
Feature Selection in Machine Learning
Feature Selection is one of the core concepts in machine learning and has a high impact on the performance of the model...
How Much Will It Cost to Buy a House in 2020
Average home prices are predicted to rise by $9,000 next year. Read on to learn how much does it cost to buy a hous...
Avoiding the Classic Fraud: Understand the Ponzi Scheme Beyo...
Charles Ponzi may have made the Ponzi scheme more infamous than it ever was before he started with his series of cons, ...
Three Best Credit Cards For People With No Credit
Credit cards are an essential part of life and needed for almost every transaction including buying from stores, paying...
Data Preprocessing in Data Science and Machine Learning
Data preprocessing is where data scientist spent most of their time. These tasks involve selecting the appropriate feat...
What is Machine Learning?
Machine Learning is the field which applies statistical analysis and computer science for employing algorithms that lea...
Machine Learning with Python
This tutorial provides a conceptual framework and practical insights to work in the Machine Learning field using python...
Portfolio Optimisation in R
For this tutorial, both minimum-variance and mean-variance will be taught. The PortfolioAnalytics package will be used ...
Modern Portfolio Theory
This is a brief recap of Modern Portfolio Theory (MPT) before delving into practical applications of it. While there ar...
Everything You Need to Know About Car Title Loans
Car title loans are financial aid services offered by numerous financing companies. To be able to obtain such a loan, y...
Calculating Stock Returns and Portfolio Returns in R
To calculate the returns of AAPL & GOOG over the time period, you can use the Return.calculate function. stockRe...
Downloading Stock Data in R Using QuantMod
We will use QuantMod R package to download stock data. This allows for downloading stock data from multiple sources, al...
R Financial Packages for Portfolio Analysis
This tutorial will teach you about how to use R for portfolio analysis. We will be using various financial packages fro...
How Insurance Companies Calculate Risk
People who are good at calculating probability and risk are few and far between. That is why understanding statistics i...
Predictive Modelling: Comparing Model Results
AUC for each model and their performance when we set probability cutoff at 50% is summarised below: > table_perf ...
Predictive Modelling: Averaging Results from Multiple Models
Our final model is to combine the result of previous machine learning models and provide a single prediction by averagi...
Extreme Gradient Boosting in R
Extreme Gradient Boosting has a very efficient implementation. Unlike SVM and RandomForest, we can tune parameter using...
Random Forest Model in R
Now, we will tune RandomForest model. Like SVM, we tune parameter based on 5% downsampling data. The procedure is exact...
Support Vector Machine (SVM) Model in R
A support vector machine (SVM) is a supervised learning technique that analyzes data and isolates patterns applicable t...
Credit Risk - Logistic Regression Model in R
To build our first model, we will tune Logistic Regression to our training dataset. First we set the seed (to any nu...
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