Welcome to my Portfolio
Supervised Learning | Radom Forest
The objective of this project is to predict the popularity of articles published by Mashable website.
Supervised Learning | Linear Regression
Using a Linear Regression Algorithm, this project was developed to predict the chance of admission of foreign students to Master’s Degree Programs in American Colleges.
Python | NumPy
Applying PCA to a dataset without using any of the popular machine learning libraries such as scikit-learn and statsmodels.
Unsupervised Learning | K-Means
The objective of this project is to segment shoppers from a dataset given. K-Means, Agglomerative and DBSCAN are the three different unsupervised machine learning algorithms used for the project.