Practice training different machine learning models using TensorFlow and data from the UCI Machine Learning Repository and Scikit learn datasets.
Currently includes:
- Linear Regression Model (predicting student grades based on their two previous grades, absences, failures, and time spent studying)
- K-Nearest Neighbors Algorithm (classifying cars based on its buying and maintenance price, number of doors, persons and luggage boot capacity, and safety)
- Support Vector Machine (predicting whether breast cancer is malignant or benign based on 30 factors such as size and texture)
- K-Means Clustering Algorithm (classifying images of numbers from zero to nine)