G-Geofrey's Stars
KaveIO/PhiK
Phi_K correlation analyzer library
logicalclocks/hopsworks-tutorials
Tutorials for the Hopsworks Platform
kushaldas/randomos
marlenezw/marlenezw
abhionlyone/us-car-models-data
Introducing the most comprehensive and up-to-date open source dataset on US car models on Github. With over 15,000 entries covering car models manufactured between 1992 and 2023, this repository offers valuable information for anyone looking to incorporate car data into their applications. Best of all, it's completely free to use!
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
neo4j-product-examples/genai-workshop
Generative AI Deep Dive Workshops
thu-vu92/local-llms-analyse-finance
In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.
neo4j-product-examples/demo-fraud-detection-with-p2p
Exploring Neo4j and Graph Data Science for Fraud Detection
OpenActTexts/Loss-Data-Analytics
Loss Data Analytics is an interactive, online, freely available text. It provides core training on one of the foundations of actuarial science, loss data modeling.
Dagalon/PyStochasticVolatility
This repository contains different tools to simulate underlyings under SV dynamics. As well, we have implemented several tools for computing option price under SV.
bgse-datascience-group8/Statistical-Modelling-and-Inference
G-Geofrey/Econometrics
linkedin/FastTreeSHAP
Fast SHAP value computation for interpreting tree-based models
nalepae/pandarallel
A simple and efficient tool to parallelize Pandas operations on all available CPUs
apoorvpatne10/bank-statement-analysis
Bank statement analysis for detecting fraudulent transactions/money laundering
G-Geofrey/gspWeb
MUSA-620-Spring-2017/Course-Materials
Syllabus: MUSA 620 - Data Wrangling and Data Visualization
holtzy/data_to_viz
Leading to the dataviz you need
CoreyMSchafer/code_snippets
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
G-Geofrey/package_dev
tensorbored/kds
An intuitive library to plot evaluation metrics.
maladeep/Name-Matching-In-Python
Surprisingly Effective Way To Name Matching In Python These are the same product name and customer name but were taken as different form i.e., deal with different versions of one name.
drozenshteyn/Jupyter_widgets_dropdown
Medium Article: Interactive data analysis with dropdown menu ipywidgets and Plotly in Jupyter Notebook
jupyter-widgets/tutorial
A tutorial for widgets
guillermo-navas-palencia/optbinning
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
PacktPublishing/Hands-On-Data-Science-for-Marketing
Hands-On Data Science for Marketing, published by Packt
StatsReporting/stargazer
Python implementation of the R stargazer multiple regression model creation tool