Basic Machine Learning ModelS

This is a library containing different machine learning models like linear regression , polynomial regression , logistic regression , KNN and Neural Network

ALL the models are coded in form of Classes and Function stored in ML_BOOTCAMP file

Have showcased how to use the ML_BOOTCAMP library in the given Jupyter-Notebook(ML_BOOTCAMP.ipynb)

have also applied some of concepts of machine learning for obtaining better output

System Requirements

1)Python

2)NumPy

3)Pandas

4)Matplotlib

Output

Output from the given test data is stored by the name == predicted_.csv

stored the Output with ids and predicted_label as columns

linear regression is trained on linear_train.csv polynomial regression is trained on polynomial_train.csv KNN,Logistic and Neural Neural is trained on classification_train.csv

TO-DO

• Have to improve accuracy of neural network