Python : Plotting Architecture of Tensorflow Keras model

This post shows how to plot an architecture flow of Tensorflow Keras model by using plot_model() function.

Python code: Estimation of Dynamic Nelson-Siegel model

This post introduces a Python library for estimation of the dynamic Nelson-Siegel (DNS).

Python Troubleshooting Q&A

This is just a small collection of common error messages and solutions that we encounter when using Python.

Multiple Linear Regression using Tensorflow Optimization

This post implements the optimization based estimation of multiple linear regression model using Tensorflow. With this example, we can learn basic implementations of functions in Python and a numerical optimization in Tensorflow.

Multiple Linear Regression using Tensorflow

This post implements the standard matrix based estimation of multiple linear regression model using Tensorflow. With this example, we can learn some basic vector or matrix operations in Tensorflow and also Python.

Installing Python and Tensorflow with Jupyter Notebook Configurations

For a machine or deep learning modeling, Python is widely used with Tensorflow. This post explains the an installation of Python, Tensorflow and configuration of Jupyter notebook as a kickstart towards ML/DL modeling.

Understanding Gradient Descent Algorithm with Python code

Gradient Descent (GD) is the basic optimization algorithm for machine learning or deep learning. This post explains the basic concept of gradient descent with python code.