ML-From-Scratch

Implementations of machine-learning algorithms written entirely from scratch in C++.

Running and Testing

1. Unzip the dataset archives located in the ./Datasets directory and make sure to have the extracted csv files in ./Datasets directory.
2. Navigate to the directory of the algorithm you want to run.
3. Compile and execute the test file. No external libraries are required. For example, to test the RandomForest model on MNIST:

cd RandomForest
g++ -std=c++20 -O2 test_with_mnist.cpp