Showml

- Added a Deep Learning (`showml.deep_learning`) Package
- A `Sequential` model class
- A `Dense` Layer class
- The _Sigmoid_, _Softmax_ and _ReLu_ activation functions
- Updated the `optimizers` package to work for the Regression and the Deep Learning packages
- Added better docstrings to all methods and classes
- Updated the _model.compile_ methods to compile a model with the optimizer and loss function (in `showml.deep_learning`, the layers are also initialized in this method)
- Added unit tests for `showml.utils.dataset.Dataset`

- Added 2 new optimizers to the `optimizers` package
- AdaGrad
- RMSProp

What's Changed
> SGD and Logistic Regression by hasnainroopawalla in https://github.com/hasnainroopawalla/ShowML/pull/5

- Added an SGD optimizer
- Added the Binary Cross-Entropy Loss function
- Added a Logistic Regression Class
- Updated Package structure and added a data loader utility
- Added a Dataset class to initialize the input to the model

**Full Changelog**: https://github.com/hasnainroopawalla/ShowML/compare/v1.0.0...v1.1.0

- Added a class for Linear Regression
- Added various base classes for Optimizers and Loss Functions
- Added an example script to load a dataset and train a Linear Regression model