Machine Learning Examples

Explore use cases in machine learning solved with Neural Designer, and learn to develop your own models.

Here you can find many end-to-end examples in different industries:

ENGINEERING & INDUSTRY BANKING & INSURANCE HEALTH & CARE ENERGY & UTILITIES RETAIL & CONSUMER

Iris flowers classification

Classify among three species of iris flowers
(setosa, versicolor or virginica).

Airfoil self noise prediction

Predict the noise generated by an airfoil,
from dimensions, speed and angle of attack.

Yachts hydrodynamics modeling

Predict the hydrodynamic performance of
sailing yachts from dimensions and velocity.

Concrete properties assessment

Design concretes having some properties
with the highest possible quality.

Nanoparticle adhesive strength

Predict the vascular adhesion of nano
particles from their wall shear rate.

Fault detection and diagnosis

Predict malfunctions of
a liquid ultrasonic flowmeter.

Employee attrition

Identify which employees are more likely
to switch to another company.

Banknote authentication

Accurately classify
fraudulent notes.

Bank marketing campaign

Predict whether a client is going
to submit a long-term deposit or not.

Credit risk assessment

Predict customers
default payments in a bank.

Tree wilt detection

Detect diseased trees
through image analysis.

Combined cycle power plant

Predict the electricity generated
by a combined cycle power plant.

Solar power generation

Predict the power generated
by a solar plant.

Parkinsons disease telemonitoring

Predict the clinician's Parkinson's
disease symptom score on the UPDRS scale.

Blood donation campaign

Create a model that can predict which
people are more likely to donate blood.

Urinary inflammation diagnosis

Diagnose the urinary bladder using
a dataset from a medical expert.

Leukemia microarray analysis

Diagnose the type of leukemia
using DNA coding.

Nanoparticle adhesive strength

Predict the vascular adhesion of nano
particles from their wall shear rate.

Activity recognition

Recognize human activities in real life
situations through activity recognition.

Breast cancer diagnosis

Diagnose the presence of breast cancer
from digitized images of cell nuclei.

Wine quality improvement

Model wine quality based on
physicochemical tests.

Telecommunications churn

Prevent customer churn in
telecommunications companies.

Bank churn

Predict churn of customers
in a bank.