lexlau Goto Github PK

atom

:atom: The hackable text editor

classifying-subreddit-cars-vs-teslamotors-with-nlp

Project 3 using Natural Language processing to classify between 2 subreddit posts.

consumer_banking

Gives a list of suggested banks to use based on maximum returns for any given security/product

covid-19-data

An ongoing repository of data on coronavirus cases and deaths in the U.S.

data-science-resources

Data Science related resources and cheatsheets

data-visualization-society

Investigating members of the data visualization society

dataiku-team-webscrape

Simple web-scrape to view all team members on Dataiku website

dev-challenge

The 10-day challenge for the Dev RampUp

dev-installday

Install day files for Startup Institute Dev RampUp

dev-sprint0

Sprint 0 of the Dev RampUp

dev-sprint1

Sprint 1 for the Dev RampUp

dev-sprint2

Sprint 2 for the Dev RampUp

dev-sprint3

Sprint 3 for the Dev RampUp

docs

TensorFlow documentation

estimating_housing_sale_prices_in_ames

example1

fight-churn

Code from the book Fighting Churn With Data

hackathon-4.25.2020

Attempt to web scrape free online classes from several platforms and consolidate to one data frame

introspective

Repo for the ML_Insights python package

jupydocker

Repo for How and Why to Put Jupyter Notebooks into Docker Containers (PyData 2019)

missing-data-workshop

Matt Brems' Missing Data Workshop

mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

ncov2019

Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China

nifi-docker-compose

Docker compose configurations for working with NiFi in various scenarios

odsc-sql-for-data-science

SQL for Data Science Workshop at ODSC East, April 14, 2020

odsc_east_2020

Missing data in supervised ML

open-speech-recording

Web application to record speech for an open data set

predicting-affluence-in-manhattan-using-yelp-pricing-data

Client Project for General Assembly

predicting-loan-defaults

Predicting loan defaults using lendingclub statistics

python_intro_udemy