kite_test

Kite Autocomplete Extension for JupyterLab

• Kite is an AI-powered programming assistant that helps you write Python code inside JupyterLab.
• Kite helps you write code faster by saving you keystrokes and showing you the right information at the right time.
• Learn more about how Kite boosts your JupyterLab editor's capabilities at https://kite.com/integrations/jupyter/.

gradio_test

Gradio lets you build and deploy web apps for your machine learning models in as little as three lines of code. It serves the same purpose as Streamlit or Flask, but I found it much faster and easier to get a model deployed. Gradio is useful for the following reasons:

• It allows for further model validation. Specifically, it allows you to interactively test different inputs into the model.
• It’s a good way to conduct demos.
• It’s easy to implement and distribute because the web app is accessible by anyone through a public link.

AB_testing

Examples of AB testing setup in python

ML_deploy_FastApi

Deploying your Machine Learning Model

README_general.txt

auto_ml

Testing how an auto ml engine works in the NP use case

darts_timeseries

Darts: Time Series Made Easy in Python.

dtale_test

Web Client for Visualizing Pandas Objects. Pretty good

facebook_hiplot

HiPlot is a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data. It uses parallel plots and other graphical ways to represent information more clearly, and it can be run quickly from a Jupyter notebook with no setup required.

• Didn't really see the value

population-stability-index

This is a python implementation of the population stability index (PSI), which is used in the financial industry to measure changes in an underlying population over time, although it is not limited to only datasets separated by time.

incremental_learning

A practical introduction to incremental learning in Python using scikit-multiflow

pandas_customizations

Added commonly used pandas customizations

pandas_groupby

Fun and useful tricks in pandas groupby

parseUnemploymentData

Visualization of unemployment in Sweden, many examples of map visualization and animations.

• Using folium and choropleth maps
• overpass didn't work
• animated map of Sweden, takes a lot of memory
• world cities with lat long

pdf_parser

-- remove?

pycaret_test

Very nice model evaluation package, pycaret auto adjust for missing values. (Catboost can use missing values) Great visualizations and ease of use.

pythonPlots

Collection of plots

python_geographical_maps_tutorial

Tutorials on geo analysis

sales_simulation [Private, no reason - mockup data but true sales price]

model how sales would affect the profit

• how will default levels be affected
• how will loss be affected
• how will long term growth be affected

CF_adhoc_analysis [Private, very sensitive]

Credit-model-development-SE_2 [Private, very sensitive]

MarketingAnalytics [Private, sensitive real data]

scrapy [Private, not sensitive only for IP reasons]

Simple version of affiliate scraping. See ad hoc/affiliate_crawler for more advanced solution.

CF_CLV [Private, sensitive real data]

misc_tutorials [Private, no reason]

python_books [Private, no reason]

model_trans_data [Private, no reason. Can be deleted but contains nice examples]

survival_intro

python survival analysis based on book

sweetviz

Sweetviz is an open-source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with just two lines of code. Output is a fully self-contained HTML application.

Best for small datasets.

timeseries_tutorial

python time series courses and demos

tabnet_test

This is a totally unofficial fork of Google Research's TabNet repo. It trains a deep nn on tabular data, i.e. csv file or databse dump data.

yellowbrick

An open-source python toolkit to accelerate your Model Selection with visual analysis and diagnostic tools.

Didn't get it to fully work

Statistics

Dinosaur dataset

Google_Spreadsheet_to_Calendar

Synced kids activities between google spreadsheet and calendar

pyod

A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)

PythonDataScienceHandbook

modeldb-basic

A basic python client for working with ModelDB machine learning management system. From MIT.

Google-Facets

Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets.

population-stability-index

python code for calculating PSI

ML_pipelines_kirgsn

pipeline examples

ML_pipelines_philipmgoddard

pipeline examples

python-LDAviz

pyLDAvis is a python libarary for interactive topic model visualization. Really cool.

python-WordCloud

pythonTimeSeries

Copy from Prophet

pythonStats

A cheat sheet for python stats.

SparkClass