Machine Learning Concepts and Python | Dataford Interview Questions

Explain key machine learning concepts and how you would implement them using Python.

Implement binary logistic regression from scratch without machine learning libraries. Your function must train weights with batch gradient descent and return class predictions for test rows.

Input and Output

Use def train_logistic_regression(X_train, y_train, X_test, learning_rate, epochs):. X_train and X_test are lists of numeric feature rows, y_train contains binary labels, and the function returns a list of 0 or 1 predictions.

Constraints

2 <= len(X_train) <= 500
1 <= len(X_train[0]) <= 20
len(X_test) >= 1
len(X_train) == len(y_train)
Each label in y_train is 0 or 1
learning_rate > 0 and epochs >= 1
All feature rows have the same length

Function Signature

def train_logistic_regression(X_train, y_train, X_test, learning_rate, epochs):

Your question is Machine Learning Concepts and Python. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem