# instructions course: Module 2 — Machine Learning Algorithms module: Module-2-Machine-Learning-Algorithms type: material source_url: https://personal-learn.armco.dev/files/Module-2-Machine-Learning-Algorithms/General/Ungraded_Coding_Assignment_on_Supervised_Learning/instructions.txt --- Completion requirements Opened: Saturday, 10 January 2026, 12:00 AM Coding Assignment on Supervised Learning.pdf 7 February 2026, 4:37 PM Add submission Details Details Submission status No submissions have been made yet Grading status Not graded ◀︎ Lab Materials Jump to... Jump to... Announcements Supervised Learning - Saturday (29.11.2025) Hands On Supervised Learning - Sunday (30.11.2025) Data Preprocessing and Classification - Saturday (06.12.2025) Machine Learning Classifiers- Sunday (07.12.2025) Linear and Logistic Regression- Saturday (13.12.2025) Supervised Learning- Sunday (14.12.2025) Linear Regression Theory - Saturday (20.12.2025) Hands On Naive Bayes Classifier and Linear Regression - Sunday(21.12.2025) Logistic Regression - Saturday (27.12.2025) Hands-on Logistic Regression - Sunday (28.12.2025) Introduction to Unsupervised Learning- Sunday (11.01.2026) Understanding Transfer Learning in Deep Learning- Sunday (11.01.2026) Hands-on Session Unsupervised Learning- Saturday (17.01.2026) Doubt Clearing Session - Sunday (18.01.2026) Supervised LearningClassification & Prediction (Used in Predictive Analytics) 5.3 Lab Materials Supervised Learning-Instance Based Classifiers Part-1 Supervised Learning-Instance Based Classifiers Part-2 Masterclass Materials Lab Materials Linear Regression Summary Lab Materials Linear Regression Explanation Un-Supervised Learning Lab Materials Attendance Attendance ▶︎