Machine learning & AI

The Tool :

Chooses an appropriate machine learning algorithm, such as a decision tree, random forest, or neural network.

Fine-tunes the model parameters to optimize performance.

Uses the model to make predictions on new data and provides a score indicating the potential success of the company.

Splits the data into training and testing sets.

Trains the model on the training set and evaluates its performance on the testing set