Releasing v10.1.1

Updating requirements and reducing tests repetitions.

v10.1.0

Rolling back and fixing One Hot Encoder implementation.

Releasing v10.0.0

Fixing binary labeling problem in perceptron model (Issue #19)
Adding the SVR code implemented by @MatusPohorenec (Issue #17)
Adding the SVC code implemented by @Renkooo (Issue #14)
Adding the MLP Regression code implemented by @SebastianOndrus (Issue #15)
Updating docs and README
Updating and fixing CI unit test workflow (Issue #16)

Making ScratchML available to the public!

What you will see in this release:

• Implementation of some ML algorithms (note: MLP is not ready for production yet))
• Broad test coverage;
• A lot of activation functions and accuracy metrics (both for regression and classification) to use;
• Implementation of the Binary Cross Entropy and Cross Entropy functions;
• A lot of distance metrics to be used in clustering algorithms;
• Implementation of the Label Encoder and One-hot Encoding scalers;
• Implementation of the traditional Train-Test-Split data split function, alongside KFold, Stratified KFold, and Split Into Batches.