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followers: 10.0 following: 164.0 repos: 352.0 gists: 2.0

Name: Michel Arents

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Michel Arents's Projects

access-azure-using-python

Sample code snippets to access Azure Services using Python

actuarial-reserve-risk-classification-with-gaussian-mixture

Classification of reserve risk with chain-ladder

advanced-youtube-analytics

Python Script that performs search queries on YouTube, collects metadata, and exports to a CSV file for data analysis.

aiif

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

allie

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

api-samples

Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.

automate-data-pipeline

Script automation for Dataset Collection and Building with Tkinter GUI.

automated_etl_google_cloud-social_dashboard

A dashboard is worth a thousand words => https://datastudio.google.com/reporting/755f3183-dd44-4073-804e-9f7d3d993315

big-query-interpolation

Gap fills time series data using linear interpolation executed using Big Query Standard SQL. Works for either Pandas DataFrames or can be implemented directly in Big Query.

bigquery-sqlalchemy-tutorial

:bar_chart: :arrow_right: :floppy_disk: ETL script to migrate data from BigQuery to SQL.

binod-detector

Scrapes comments of a youtube video and shows distribution of comments having 'binod' in it

bnpseg

Bayesian Non-Parametric Image Segmentation using HDP-MRF

book_bayesian_methods

Code and data examples included in the book "Probabilistic Programming & Bayesian Methods for Hackers" by Cameron Davidson-Pilon.

book_marketing_ds

Code and data examples included in the book "Marketing Data Science" by Thomas W. Miller.

bqpy

pandas-like interface for interacting with bigquery from python

Example of map plotting on a jupyter notebook. I apply what I learned in the Python for Data Science course at the University of California San Diego. (https://credentials.edx.org/records/programs/shared/68aa6a10ec1f456fb755953418ef61b4/) (https://courses.edx.org/certificates/8fd69041d1e4402b9979d072618f3672)

california-etl

An ETL project utilizing various types of data like earthquake, crime, traffic, and GDP during 2000-2017 to create a visualization. Tools used: Python, Flask, SQL, SQLAlchemy, HTML, CSS, Bootstrap, SQLAlchamy

cash_flow_manager

A simple prototype that creates classes for payables and receivables, with easy methods to produce quick and informative dataframes

catalystml

CatalystML is an open source specification for real-time feature processing, purpose built to transform data for machine learning models.

cbs-open-data-v3

Codevoorbeelden van het gebruik van CBS Open Data v3 in R, Python,JavaScript en C#

cbs-open-data-v4

Codevoorbeelden van het gebruik van CBS Open Data v4 in R en Python.

chicago_bulls_etl_twitter

SQL, Python, ETL, Twitter, API

chips_customer_segmentation

Conducted customer sales segmentation and affinity analysis on chip sales to identify groups to target for advertisements and promotions.

churn-model

Churn Modelling - unusual rate at which customers leaving the company, we need to figure out why? we need to understand the problem? We actually need to create a demographic segmentation model to tell the bank/company which customers are at high risk of leaving.

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