eli-goodfriend / banking-class
Parse and categorize banking transactions
☆169Updated 8 years ago
Alternatives and similar repositories for banking-class:
Users that are interested in banking-class are comparing it to the libraries listed below
- Simple example of using a Naive Bayesian classification to classify entries in bank statements☆149Updated last year
- Package that returns a company embedding given a company name☆45Updated 4 years ago
- Code supporting Data Science articles at The Marketing Technologist, Floryn Tech Blog, and Pythom.nl☆71Updated last year
- Extract recipes from websites, calculates cooking times, collects nutrition info from USDA database☆66Updated 4 years ago
- BFSI sectors deal with lots of unstructured scanned documents which are archived in document management systems for further use.For examp…☆40Updated 3 years ago
- ☆57Updated 6 years ago
- An easily-deployable, single-instance version of Snowplow☆126Updated last month
- Load data from redshift into a pandas DataFrame and vice versa.☆138Updated last year
- A personalized real estate recommender system that I built as part of my final project for the Data Science Intensive at Galvanize☆96Updated 9 years ago
- This is a python program which scrapes linkedin information upto 98% accuracy using the google custom search API. It also uses pandas to …☆24Updated 8 years ago
- Get some python in google cloud functions☆203Updated 3 years ago
- A curated list of awesome customer analytics content☆95Updated 7 years ago
- SQL Recipes for Web Analytics☆34Updated 9 years ago
- pyaddress is an address parsing library, taking the guesswork out of using addresses in your applications. We use it as part of our apart…☆100Updated 5 years ago
- Building a end-to-end lead scoring machine learning example with Jupyter, Sagemaker, MLflow, and Booklet.ai.☆21Updated 2 years ago
- ☆9Updated last week
- Python3 interface to the LinkedIn API☆84Updated 4 years ago
- Query Google Analytics and get the results as a pandas.DataFrame☆86Updated 4 years ago
- An example system that captures a large stream of product usage data, or events, and provides both real-time data visualization and SQL-b…☆25Updated 2 years ago
- An example of clustering applied to finding customer segments.☆19Updated 7 years ago
- ☆26Updated 5 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated last year
- a python library for parsing unstructured western names into name components.☆602Updated 4 months ago
- Predictive Lead Scoring does all the hard work for you by leveraging Machine Learning to provide your sales and marketing team with in-de…☆96Updated 8 months ago
- Implementing Plotly's Dash on AWS Lambda via Zappa☆39Updated 7 years ago
- A Singer.io tap for extracting data from the JIRA API☆35Updated 6 months ago
- Helps a candidate find the next job position.☆32Updated 3 years ago
- Demo application for the PyData Conference in Amsterdam 2018☆30Updated 6 years ago
- Tutorial code and data for the entity resolution workshops.☆43Updated 9 years ago
- An end-to-end enterprise-grade example of working a data science problem.☆27Updated 2 years ago