My-own-Logistic-Regression

Without using any ML-dedicated python library, I have tried build and trained my very own logistic regression model with L2 regularisation.

I have implemented the following key features to enhance the model performances:

• Calculating gradient from the objective function
• Gradient descent
• Fast gradient descent
• Backtracking
• Cross-Validation for optimal Lambda value

List of helping libraries used:

• pandas
• numpy
• sklearn.model_selection import train_test_split
• sklearn.preprocessing
• matplotlib.pyplot
• sklearn.metrics import accuracy_score