This Repo is a learning experience and we will be covering the majority of how to build neural networks
- Basic Neural Network (Feedforward neural network, with Multi-Layer Perception Architecture)
- Logestic Regression
- KNN (K-Nearest Neighbors)
- Decision-Tree
Note: Unsupervised and reinforced Learning shall come soon
In hopes of making this project only a few acceptions shall be made
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For data Keras will be used to only load the data other than that it might be only used if my skills aren't enough or making the tool from scratch would be too time consuming
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Numpy will be used in this project for most of this project mainly to get a close result or atleast accurate results