The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

6 min read Scenario Analysis: Python Code Snippets for Forecasting Investment Performance Copy and paste these code snippets to forecast investment performance in any market conditions.

Style analysis helps you interpret how funds are likely to behave. Copy and paste these code snippets to evaluate investments for style drift.

The Data Science Lab Logistic Regression Using Python The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, ...

The goal of a time series regression problem is best explained by a concrete example. Suppose you own an airline company and you want to predict the number of passengers you'll have next month based ...