Natural Language Processing Deep Learning Templates v1 using Python

As I work on practicing and solving machine learning (ML) problems, I repeatedly find myself repeating a set of steps and activities.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a set of project templates that I use to experiment with modeling ML problems using Python and XGBoost.

Version 1 of the natural language processing (NLP) templates contain the necessary elements for modeling and analyzing NLP problems. I designed the templates to take a machine learning modeling exercise from beginning to end.

You will find the Python templates on the Machine Learning Project Templates page.

Multi-Class Image Classification Deep Learning Template v1 using TensorFlow

As I work on practicing and solving machine learning (ML) problems, I repeatedly find myself repeating a set of steps and activities.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a set of project templates that I use to experiment with modeling ML problems using Python and TensorFlow.

Version 1 of the TensorFlow multi-class image classification template contains structures and features like the TensorFlow templates used for tabular data. The image classification template was designed to take a deep learning modeling exercise from beginning to end.

You will find the Python templates on the Machine Learning Project Templates page.

Binary Image Classification Deep Learning Template v1 using TensorFlow

As I work on practicing and solving machine learning (ML) problems, I repeatedly find myself repeating a set of steps and activities.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a set of project templates that I use to experiment with modeling ML problems using Python and TensorFlow.

Version 1 of the TensorFlow binary image classification template contains structures and features like the TensorFlow templates used for tabular data. The image classification template was designed to take a deep learning modeling exercise from beginning to end.

You will find the Python templates on the Machine Learning Project Templates page.

Algorithmic Trading Model Template Using Python Version 1

As I work on practicing and solving machine learning (ML) problems, I repeatedly find myself repeating a set of steps and activities.

This project aims to construct and test an algorithmic trading model and document the end-to-end steps using a template. We will test trading models with various strategies and build a robust template for solving similar problems.

Version 1 of the trading model template contains structures and features that break down the template into logical modules. I pull together this template to model a quantitative finance exercise from beginning to end.

You will find the Python templates on the Analytics Project Templates page.

TensorFlow Deep Learning Templates v8 for Classification and Regression

As I work on practicing and solving machine learning (ML) problems, I repeatedly find myself duplicating a set of steps and activities.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that can be used to support modeling classification and regression problems using Python and the Kera framework.

Version 8 of the TensorFlow deep learning templates contain minor adjustments and corrections to the model’s prevision version. The updated templates also include support for the following:

  • Scikit-learn’s ColumnTransformer, imputing, and pipeline utilities for feature scaling and transformation tasks

You will find the Python deep learning templates on the Machine Learning Project Templates page.

XGBoost Machine Learning Templates v2 for Python

As I work on practicing and solving machine learning (ML) problems, I repeatedly find myself duplicating a set of steps and activities.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a set of project templates that I use to experiment with modeling ML problems using Python and XGBoost.

Version 2 of the XGBoost templates contain minor adjustments and corrections to the prevision version of the template. The updated templates also include:

  • Scikit-learn’s ColumnTransformer, imputing, and pipeline utilities for feature scaling and transformation tasks

You will find the Python templates on the Machine Learning Project Templates page.

Time Series Model Template Using Exponential Smoothing Version 1

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly.

The purpose of this modeling exercise is to construct an end-to-end template for solving machine learning problems. This Python script will adapt Dr. Jason Brownlee’s blog post on this topic and build a robust template for solving similar problems.

Version 1 of the exponential smoothing template contains structures and features that are like the ARIMA template. I pull together this template to take a machine learning exercise from beginning to end.

You will find the Python templates on the Machine Learning Project Templates page.

Regression Modeling Template Using Python and AutoKeras Version 1

As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly.

The purpose of this modeling exercise is to construct an end-to-end template for solving machine learning problems. This Python script will adapt Dr. Jason Brownlee’s blog post on this topic and build a robust template for solving similar problems.

Version 1 of the AutoKeras regression template contains structures and features that are like the Scikit-Learn templates. I pull together this template to take a machine learning exercise from beginning to end.

You will find the Python templates on the Machine Learning Project Templates page.