KMeans Clustering of data using Sklearn library, numpy and Pickle data
This repository demonstrates the scaling of the data using Scikit-learn's StandardScaler, MinMaxScaler, and RobustScaler.
In this project I used different classification algorithms to predict if the patient has breast cancer or not. I used Kaggles free GPUs and Datasets in this competition. Those different algorithms include random forrest, decision tree, xgboost and so on. Initially I used feature engineering to get my data into the best shape.
ML / DL Algorithms implemented from scratch. Developed with only numpy as dependency. Machine Learning Algorithms such as Support Vector Machine, Linear Regression, Artificial Neural Networks and other data transformation algorithms are implemented. Project is released as a python package and can be download from Python Package Installer.
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