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cancerdiagonisis

Develop algorithms to classify genetic mutations based on clinical evidence (text).There are nine different classes a genetic mutation can be classified on.This is not a trivial task since interpreting clinical evidence is very challenging even for human specialists. Therefore, modeling the clinical evidence (text) will be critical for the success of your approach.

collections-c

A library of generic data structures.

convolutional_neural_network

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

coursera

Data sets and scripts for Coursera Big Data Specialization.

credit-risk

The purpose of our project is to calculate CREDIT RISK. The data was gathered from Lending Club. The link is https://www.lendingclub.com/info/download-data.action There is also a data dictionary that comes along, below is the link https://docs.google.com/spreadsheets/d/191B2yJ4H1ZPXq0_ByhUgWMFZOYem5jFz0Y3by_7YBY4/edit#gid=2081333097 Lending Club is a marketplace for personal loans that matches borrowers who are seeking a loan with investors looking to lend money and make a return.

cyber-attack-analysis

Analysis on cyber attacks happened all over the world.

cyber-attack-prediction

Modern water distribution systems rely on computers, sensors and actuators for both monitoring and operational purposes. This combination of physical processes and embedded systems—cyber-physical systems, in short—improves the level of service of water distribution networks but exposes them to the potential threats of cyber attacks. We will be using statistical models to attempt to detect cyber attacks.

cyber-matrix-ai

Collection of cyber security and "AI" relevant topics

cyber-physical-attack-defense-system

Q-learning Algorithm for Detection and Defense Tasks in a Smart Power System

cyber_attack_detection

Anomaly detection of cyber attack detection for modern water distribution systems.

cyberattackdetection

Project for Semester 5 : Cyber-attack detection using Supervised Learning

cyberbg-attack-detection-dns

DNS based user profiling project

cybersecurity-anomaly_detection

I am working on generating a ML pipeline using Spark for anomoly detection from unstructured data from parsed system logs.

cybersecuritydemoml

cybersecuritywithml

Cybersecurity with Machine learning techniques

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-structures

This repository contains some data structures implementation in C programming language. I wrote the tutorial posts about these data structures on my personal blog site in Bengali language. If you know Bengali then visit my site

data-structures-and-algorithms

Implementation of various Data Structures and algorithms - Linked List, Stacks, Queues, Binary Search Tree, AVL tree,Red Black Trees, Trie, Graph Algorithms, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Segment Trees etc.

data-structures-c

A collection of algorithms for data structure manipulation in C

data-structures-in-c

(Incomplete, In Continuation) Implementation of Data Structures like Stacks, Queues, etc. using C programming language

data-structures-using-python

This is my repository for Data Structures using Python

datascienceresources

Open Source Data Science Resources.

datastructure

Programming, Data Structure and Algorithm

datastructure-1

This file includes the basic data structures.

datastructuresandalgorithmsmadeeasy

Data Structures And Algorithms Made Easy

datastructureslab

Graph Traversal (BFS & DFS), Single Source Shortest Path, Minimum Spanning Tree, RB Trees, B-Trees

david-silver-reinforcement-learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

deep-learning-feature-selection-and-hyper-parameter-tuning

this project evaluates and compares four different neural networks; 1-layer network, 4-layer network, Convolutional Network, all without hyper-parameter tuning, and Convolutional Network after hyper-parameter tuning.

deep-learning-illustrated

Deep Learning Illustrated (2019)

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt