CSE601 Course Projects - Fall 2017
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Updated
Mar 6, 2018 - Python
CSE601 Course Projects - Fall 2017
PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM
Solutions to Coursera's Intro to Machine Learning course in python
Hamming Network implementation using pca implementation for reduction all from scratch
Implementing Unsupervised machine learning algorithms from scratch and using them in various applications
Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.
Notebooks on PCA(Principal Component Analysis)
An implementation of Principal Component Analysis (PCA) for dimensionality reduction on the MNIST dataset. This project reduces the feature space and visualizes the impact of PCA on classification performance.
Hamming Network implementation using PCA implementation from scratch
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