saikath1 Goto Github PK

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

alogrithms-in-c-sedgewick

classifier

Classify a dataset using five different classifiers including k-NN, Support Vector Machine (with RBF kernel), Naïve 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.

congitive-challenge

cpp-primer

C++ Primer 5 answers

cppprimer_solutions

:books: Solutions for C++ Primer 5th exercises.

cs1011

cs1011_091-code

CS1011-091 codes

cs2040

cs2040_gitcodes

dataminining

decaptcha

A CAPTCHA Breaker using k-Nearest Neighbor Classifiers, Support Vector Machines, and Neural Networks.

email-spam-filter

An Email Spam filter using Naive Bayes, SVM and k-Nearest Neighbor classifier in MATLAB and deep neural network in Python+TensorFlow

gsap

Generic Software Architecture for Prognostics (GSAP)

java-how-to-program-11e

My solutions for Deitel & Deitel - Java How to Program, 11/e (Early Objects).

matlab-deep-learning

Source code for 'MATLAB Deep Learning' by Phil Kim

matlab-machine-learning

Source code for 'MATLAB Machine Learning' by Michael Paluszek and Stephanie Thomas

mlr

mlr: Machine Learning in R

object_oriented_program_cs1011

prognosticsmodellibrary

python-code

python 101

saikath1

Config files for my GitHub profile.

saikath1.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

saikath_git

sentiment-analysis

srt.core

Software Reliability Tool