Saikath Bhattacharya's Projects
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Classify a dataset using five different classifiers including k-NN, Support Vector Machine (with RBF kernel), NaiΜve Bayes, Decision Trees and Neural Networks. The objective is to experiment with parameter selection in training classifiers and to compare the performance of these well- known classification methods.
C++ Primer 5 answers
:books: Solutions for C++ Primer 5th exercises.
CS1011-091 codes
A CAPTCHA Breaker using k-Nearest Neighbor Classifiers, Support Vector Machines, and Neural Networks.
An Email Spam filter using Naive Bayes, SVM and k-Nearest Neighbor classifier in MATLAB and deep neural network in Python+TensorFlow
Generic Software Architecture for Prognostics (GSAP)
My solutions for Deitel & Deitel - Java How to Program, 11/e (Early Objects).
Source code for 'MATLAB Deep Learning' by Phil Kim
Source code for 'MATLAB Machine Learning' by Michael Paluszek and Stephanie Thomas
mlr: Machine Learning in R
python 101
Config files for my GitHub profile.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Software Reliability Tool