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accelerators

Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

advanced-machine-learning-specialization

Advanced Machine Learning Specialization on Coursera

ai-for-finance

AI for Finance [Video], by Packt Publishing

ai_in_finance

This is the code for "AI in Finance" By Siraj Raval on Youtube

aifh

Artificial Intelligence for Humans

aifortrading

AI for Trading Nano Degree on Udacity

aiml-projects

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

amazing-feature-engineering

american-airlines-machine-learning--decision-tree-analysis

appliedmachinelearning

Assignments from Applied Machine learning course by Emeritus and Columbia Engineering

artificial-intelligence-for-banking

This project contains codes and notebooks related to various use cases for banking.

artificial-intelligence-machine-learning-for-finance

AI - Machine learning for finance

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-math

A curated list of awesome mathematics resources

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

boston_housing

In this project, we will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts.

bpso_breastcancer

breast cancer feature selection using binary particle swarm optimization

ccar-project

Academic Project on Comprehensive Capital Analysis and Review (CCAR) Using Fannie Mae's mortgage loan dataset

cfrm-460

MS-CFRM pre-program course reviews the mathematical methods fundamental for the study of quantitative and computational finance. For more on the MS program look here:

charityml-finding-donors

CharityML is a fictitious charity organization located in the heart of Silicon Valley that was established to provide financial support for people eager to learn machine learning. After nearly 32,000 letters were sent to people in the community, CharityML determined that every donation they received came from someone that was making more than $50,000 annually. To expand their potential donor base, CharityML has decided to send letters to residents of California, but to only those most likely to donate to the charity. With nearly 15 million working Californians, CharityML has brought you on board to help build an algorithm to best identify potential donors and reduce overhead cost of sending mail. Your goal will be evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent.

cluster-analysis

Cluster Analysis of credit card data.

computationalfinance

functions and scripts for the course Computational Finance a.c. 2016/2017

computer-science-omscs

This folder has all the CompSci related work from OMSCS and Coursera

cookbook-2nd

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

coursedocs

Notes from OMSCS Lectures and Transcripts.

cpp-programming-for-financial-engineering

QuantNet course on C++ programming (completed with Certificate with Distinction)

cqf

Assignments submitted for the Certification in Quantitative Finance (CQF) 2016

cqf-1

The CQF program

credit-analytics

credit-card-fraud-prediction

Using simple logistic regression to predict credit card fraud transactions