Machine-Learning-Algorithms

This repository consists of some Conventional Machine Learning Algorithms. I used Social Network Ads Dataset for comparision between algorithms.

Data Visualization

Algorithms

Final Prediction Boundraries of each algorithm is shown bellow.

Linear Regression

Logistic Regression

SVM

Kernel Used: RBF

Decision Tree

Some more Visualization for Decision Tree:

Naive Bayes

KNN

Comparing Accuracys & Errors in Different Algorithms

It includes (for both train set and test test:
* Confusion Matrix
* Accuracy
* Mean Absolute Error
* Mean Squared Error
* Root Mean Sqaure Error
* Precision
* Recall
* F-Score

• For Training Data:

• For Testing Data:

Dependencies

* Python: 3.7.10
* Numpy: 1.19.5
* Pandas: 1.1.5
* Matplotlib: 3.2.2
* Seaborn: 0.11.1
* Bokeh: 2.3.0
* Sklearn: 0.22.2.post1

License

It is provided with MIT License.