The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.

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.

Scenario analysis can help portfolio managers refine long-term strategies. Copy these code snippets to forecast investment performance.

In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code behind the linear regression in python.

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

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 ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be ...