Title IML_ENG_Full Book.pdf ✅

GUJARAT TECHNOLOGICAL UNIVERSITY (GTU) Subject Name Introduction of Machine Learning Subject Code: 4350702 Teaching and Examination Scheme : Teaching Scheme (In Hours) Total Credits (L+T+P/2) Examination Marks Theory Marks L T P C CA ESE CA Practical Marks ESE Total Marks 3 0 4 4 30* 70 25 25 150 (*) Out of 30 marks under the theory CA, 10 marks are for assessment of the micro-project to facilitate integration of COs and the remaining 20 marks is the average of 2 tests to be taken during the semester for assessing the attainment of the cognitive domain UOs required for the attainment of the COs. Legends: L-Lecture; T - Tutorial/Teacher Guided Theory Practice; P -Practical; C - Credit, CA - Continuous Assessment; ESE -End Semester Examination. Detailed Cource Content : Unit Unit-I Introduction to Machine Learning Unit-II Python Libraries Suitable for Machine Learning Unit Outcomes (UOS) (4 to 6 UOs at different levels) 1.1 Describe basic concept of machine learning and its applications 12 Topics and Sub-topics M.1 Overview of Human Learning and Machine Learning 1.12 Types of Machine Learning: • Supervised Machine Learning, • Unsupervised Machine Learning Reinforcement Learning. 111.3 Applications of Machine Learning 1.1.4 Tools and Technology for Machine Learning 2.1 Develop Program using Python Libraries 2.1.1Numpy: 14 • Creating Array Accessing Array • Stacking & Splitting • Maths Functions •Statistics Functions 222Pandas: Series DataFrames ✓Read CSV File Cleaning Empty Cells Cleaning Wrong Data Removing Duplicates Pandas Plotting