Two prolific Florida python hunters reveal their essentials for success

We caught up with two professional python hunters and asked them what are the "essentials" that help them be successful in the field.
AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
GitHub

Flower Classifier (Iris k-NN)

4️⃣ task4_prepare_data.py Loads the Iris dataset, explores it, and splits it into training (70%) and testing (30%) sets 5️⃣ task5_train_knn.py Trains a k-NN classifier (k=3) on the raw, unscaled ...
GitHub

Machine Learning project for classifying Iris flower species using Python and K-Nearest Neighbors (KNN).

This project uses Machine Learning to classify Iris flowers into three different species based on their physical measurements. The classification is performed using the K-Nearest Neighbors (KNN) ...