MACHINE LEARNING USING PYTHON LAB
MACHINE LEARNING USING PYTHON LAB Course Outcomes: At the end of the course the student should be able to: 1. Select data, model selection, model complexity and identify the trends. 2. Understand a range of machine learning algorithms along with their strengths and weaknesses. 3. Build predictive models from data and analyze their performance. List of Experiments WEEK 1 : a) Write a program using scikit-learn to implement K-means Clustering b) Program to calculate the entropy and the information gain c) Program to implement perceptron. WEEK 2: · Implement and demonstrate the FIND-S algorithm for finding the most specific hypothesis based on a given set of training data samples. Read the training data from a .CSV file. WEEK 3: · Fo...