Using Linear regression to model student grades and predict a student's grade using the student evaluation dataset from UCI.
Using KNN model to predict the evaluation of cars from a car evaluation dataset from UCI.
Using SVM model to predict brain tumors being malignant or benign, dataset imported from sklearn datasets.
Using KMeans model to sort imported digits from sklearn into clusters and assigning digits to the proper centroids.
Use of:
- Pandas
- Numpy
- Matplotlib
- Sklearn (KNeighborsClassifier, linear model, preprocessing, shuffle, fit, scale, score, metrics, clusters)
Included:
- Linear Regression Algorithm
- KNN Algorithm (K Nearest Neighbor)
- SVM Algorithm (Support Vector Machine)
- KMeans Algorithm