Repo for course assignments of the Machine Learning course at the University at Buffalo under Dr. Sargur Srihari
Python3, SciKit-learn, Pandas, NumPy, SciPy, Keras+TensorFlow and a tiny bit of Bash and Seaborn
The folders correspond to the following projects:
- Statistics for a small dataset: Mean, Variance, Log-Likelihood etc.
- Gradient Descent on the LeToR dataset.
- Logistic Regression, Single Layer Perceptron and Convolutional Neural Network to classify handwritten digits from the USPS dataset after training on MNIST.
- CNN for classification on the CelebA dataset.