This tutorial provides Lab Programs on various topics of Machine Learning using Python.
1. | Write a python program to compute • Central Tendency Measures: Mean, Median,Mode • Measure of Dispersion: Variance, Standard Deviation |
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2. | Study of Python Basic Libraries such as Statistics, Math, Numpy and Scipy | View Solution |
3. | Study of Python Libraries for ML application such as Pandas and Matplotlib | View Solution |
4. | Write a Python program to implement Simple Linear Regression | View Solution |
5. | Implementation of Multiple Linear Regression for House Price Prediction using sklearn | View Solution |
6. | Implementation of Decision tree using sklearn and its parameter tuning | View Solution |
7. | Implementation of KNN using sklearn | View Solution |
8. | Implementation of Logistic Regression using sklearn | View Solution |
9. | Implementation of K-Means Clustering | View Solution |
10. | Performance analysis of Classification Algorithms on a specific dataset (Mini Project) | View Solution |