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ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

airbnb-superhosts-analysis

alx-udacity-fullstack-nano-degree

alx_udacity_fullstack_nano_degree_project_fyyur

anomaly-detection

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anomalydetection

Anomaly Detection with R

blossom-onboarding

Blossom Academy On-boarding Literature

blossom_project-1

First exercise with Blossom Academy, a notebook on data wrangling with Pandas.

bookclub-advanced_r

cd0037-api-development-and-documentation-exercises

Repository associated with CD0037 - API Development and Documentation. Formerly ND0044 v2 - C2

cd0037-api-development-and-documentation-project

cd0046-sql-and-data-modeling-for-the-web

Project Fyyur Artist Booking Site

cookbook

The Data Engineering Cookbook

credit-card-fraud-detection

Using a dataset of of nearly 28,500 credit card transactions and multiple unsupervised anomaly detection algorithms, to identify transactions with a high probability of being credit card fraud

d2l-study-group

Deep Learning Study Group

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

data-science

:bar_chart: Path to a free self-taught education in Data Science!

dataiap

data iap class repo

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

designing.ggplots

Install Workshop Materials for Designing ggplots

dsnd_term2

Contains files related to content and project of DSND Term 2

energy-forecasting

🔋 The Full Stack 7-Steps MLOps Framework - Learn ML Engineering by designing, implementing, monitoring, and deploying your own energy consumption forecaster.

erum2020program

e-Rum2020 program and materials

fastbook

Draft of the fastai book

fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

flask-web-app-tutorial

Code for the note storing flask web app made during a YouTube video.

flasksaas

A great starting point to build your SaaS in Flask & Python, with Stripe subscription billing 🚀

fraud-detection

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

free-programming-books

:books: Freely available programming books