Disease-Predictor-Tron-3000

A data science ML project that trains a neural network to identify bouldering climbs based on different attributes such as height, pinches/jugs, incline, and more.

Resources?:

https://www.kaggle.com/datasets/iammustafatz/diabetes-prediction-dataset/data

Chi Squared Test(To determine feature importance)

https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html

SVM Model (Type of ML model)

https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html

Random Forest Classifier (could also use Regression) (Another kind of ML Model)

https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html

KNN (K nearest neighbor aka the model im most comfortable with)

https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html

Running frontend and backend

npm run start