ibodumas

naivebayes_mnist

I implemented a Naive Bayes classifier form scratch and applied it on MNIST dataset.

linear_basis_function

Machaine learning algorithm for regression using regularized linear basis function.

linearSVM

This project involves the implementation of efficient and effective LinearSVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

my_KNN_PCA_MNIST

Problems Identification: This project involves the implementation of efficient and effective KNN classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

fitting_tuning

Over-fitting and model tuning

gaussian_basis_function

Machaine learning algorithm for regression using regularized gaussian basis function.

MachineAlgorithm

I developed a function to perform regularized linear and Gaussian basis functions for regression. Some dataset from the UCI machine learning repository were used to validate the function.

missing_stock_prices

Models for Predicting Missing Stock Prices.

ModelCP_

Java/Tomcat based web application

OLS-gradient-descent

Gradient descent via OLS

PredictiveModeling

Application of predictive modeling technique

quora-dublicate-questions

Models for Quora Dataset Release: Question Pairs

SentimentAnalysis

Sentiment Analysis of Nov 6, 2016 Election using Twitter dataset.

TravelApp_iOS

iOS application for real-time airport status and currency conversion.

webcrawler

Python web crawler with authentication.

youtube_integrator

Retrieving data from Youtube.

logistic_regression

This project involves the implementation of efficient and effective Logistic Regression (FROM SCRATCH) classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

SVM_radial_kernel

This project involves the implementation of efficient and effective RBF SVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

curse_dimensionality_generalization

deepdream

gscv-ensemble-voting

Ensemble-Voting

multi_layer_perceptron

This project involves the implementation of efficient and effective MLP (multi-layer perceptron) on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

Papers-Literature-ML-DL-RL-AI

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

PYREST-ADANET

RestPy

Implemented a production ready RESTful API with Connexion, OpenAPI, Flask, and Gunicorn libraries/technologies.

SVM_polynomial_kernel

This project involves the implementation of efficient and effective polynomial SVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

SWAPI

Pulling and working with data from the Star Wars API.

swapi-scala

Pulling and working with data from the Star Wars API.

thyroid_disease

The thyroid gland is an endocrine gland. The thyroid organ discharges thyroxine (T4) and triiodothyronine (T3) into the bloodstream as the principal hormones. The capacities of the thyroid hormones are to direct the rate of digestion system and affect the overall development of the human body.