Univariate Model for One-Step Ahead Prediction In this tutorial, we have explored how to use LSTM (Long Short-Term Memory) to predict time series using a…

## Modelselect: A Python Package Helps Fast Develop Optimal Linear Regression Model

Modelselect package helps get an Optimal Linear Regression Model by removing insignificant variables and solve multicollinearity problems I developed a small package called modelselect, which…

## A Convenient Stepwise Regression Package to Help You Select Features in Python

Display how to apply stepwise regression with a concrete real-world example Stepwise regression is a very helpful approach to select the statistic significant predictors in…

## Practical Process to Develop Machine Learning Regression Models with Python

A real-world example to display the method to develop a machine learning regression model with Sckit-learn The previous several posts displayed a general process to…

## Develop a Classical Linear Regression Model with Python (IV): Model Evaluation

Model Evaluation makes a model more reliable Part I: Model Estimation Part II: Model Diagnostics Part III: Model Improvement Part IV: Model Evaluation In the previous…

## Develop a Classical Linear Regression Model with Python (III): Model Improvement

A convenient Python function for model improvement by dropping insignificant variables and solve multicollinearity and dummy variables trap Part I: Model Estimation Part II: Model…

## Develop a Classical Linear Regression Model with Python (II): Model Diagnostics

Model Diagnostics are an integral part of the model development process, which help us judge whether a model is good or bad Part I: Model Estimation…

## Develop a Classical Linear Regression Model with Python (I): Model Estimation

A real world project using Python Statsmodels to display model estimation process of linear regression model In the previous posts, we have talked about how…

## Different Methods to Normalize Dataset for Model Development with Python Scikit-learn

To normalize dataset is another important step of data preprocessing in model development The last article discussed how to split the dataset into feature variables…

## Split Dataset for Model Development with Python Scikit-learn

Split dataset is an important step of data preprocessing for a reliable model In the last post, it briefly discussed the main concepts on data analysis…