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bicester-gpt-poc

binary-classification-model-moons

When given a set of data, model predicts a 1 or 0.

breast-cancer-multiclass-classification-model

We use breast cancer data to predict which position of the breast will cancer likely to be found, with a range of independent variables.

churn-model-app

churn-model-development

cs329s-ml-deployment-tutorial

Code and files to go along with CS329s machine learning model deployment tutorial.

detecting-objects-tfjs-cocossd

Using starter code to make a quick PoC that not only detects stuff but specifically tells the user when it's detected a human being

heart-disease

Machine learning model (TF) to predict if heart disease is present.

imdb-queries

internal-gpt-proofofconcept-1

Create a ChatGPT-like experience with your data.

intro-ml-tensorflow-rear-camera-image-classifier

WebApp uses rear camera of a smartphone to detect and define images.

intro-ml-tensorflow-webcam-image-classifier

Webcam livestream video image classification with MobileNet (Tensorflow.js).

invisible-people

Using code created by Jason Mayes to remove people from environments.

iris-flowers-multiclass-classification-model

The flowers dataset is well studied and is a good problem for practicing on neural networks because all of the 4 input variables are numeric and have the same scale in centimeters. Each instance describes the properties of an observed flower measurements and the output variable is specific iris species. This is a multi-class classification problem, meaning that there are more than two classes to be predicted, in fact there are three flower species. This is an important type of problem on which to practice with neural networks because the three class values require specialized handling. The iris flower dataset is a well-studied problem and a such we can expect to achieve a model accuracy in the range of 95% to 97%. This provides a good target to aim for when developing our models.

openai-transcribe-translate

sales-forecast-model-app

sales-forecast-model-development

sandbox

Development sandbox for front end projects and tutorials.

tensorflow-binary-and-multiclass-classification-models

Creating binary and multiclass classification models with python, sklearn and tensorflow. #tensorflow #python #machinelearning

tensorflow-image-classifier-from-array

Demonstration of how MobileNet can be employed to predict what an image is from an array of static images.

train-tensorflow-transfer-learning-knn-classifier

Train a model to predict what it sees with the webcam, right here in your browser.

trained-teachable-machine-face-mug

Trained a Teachable Machine model and turned it into a webapp.