Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Use Watson Studio and PyTorch to create a machine learning model to recognize hand-written digits

Jupyter notebooks for Dyalog APL

Multi-class malware classification using Deep Learning

Classified Historical Newspaper Images

A data application within DAF project

Educational tool for developers looking into BitCoin

Um estudo em datasets abertos da prefeitura de Alegrete-rs

Docker image for Deep Learning used at @koto-bank Contains Tensorflow, Keras, PyTorch, OpenCV and a few Python ML libraries.

Contenu workshops Azure ML service

Python project that uses DEAP genetic algorithms and neural networks to the recognize hand written digits.

Data Camp Project

Notebooks to introduce and understand 1D-CNNs.

Tennis Player strength Analysis using Machine Learning

Personal finance Coin issued during the reign of the Roman emperor Maximian Credit · Debt Mortgage Car loan Credit card Unsecured personal loan Rent-to-own Student loan Pawn Title loan Payday loan Refund anticipation loan Refinancing Debt consolidation Bankruptcy Employment contract Salary Wage Salary packaging Employee stock option Employee benefits Retirement Pension Defined benefit Defined contribution Social security Business plan Corporate action Personal budget Financial planner Financial adviser Stockbroker Financial independence Estate planning See also Bank Cooperative Credit union vte Credit card fraud is a wide-ranging term for theft and fraud committed using or involving a payment card, such as a credit card or debit card, as a fraudulent source of funds in a transaction.[1] The purpose may be to obtain goods without paying, or to obtain unauthorized funds from an account. Credit card fraud is also an adjunct to identity theft. According to the United States Federal Trade Commission, while the rate of identity theft had been holding steady during the mid 2000s, it increased by 21 percent in 2008. However, credit card fraud, that crime which most people associate with ID theft, decreased as a percentage of all ID theft complaints for the sixth year in a row.

dockerfile for jupiter notebook based on Anaconda

Deep Learning with TensorFlow course by https://cognitiveclass.ai/

Tasks from course by data science

Climate app that analyzes and explores precipitation and temperature in Hawaii using Flask, Python, SQLAlchemy, ORM queries, Pandas and Matplotlib.

Project to store my understanding of Neural Networks.

My Jupiter Notebooks

Great Britain Traffic Data Analysis - Data Set from Kaggle

Machine Learning Class Project - MS in CS, SDSU - classify whether mushroom is edible or poisonous

Python

Twitter sentiment analysis and visualization using apache spark over aws cloud. ● Create a webUI where user can search any topic on twitter ● Generate visual effect of number of tweets ● Generate visual effect of sentiments ● Search by twitter username ● Search by most recent hot topic ● Host all this web ui in apache httpd web server ● Code must use either python CGI or django

Study notes and materials about Classification Algorithms

Coursera - Introduction to Data Science in Python