bingblackbean Goto Github PK
Name: Bean
Type: User
Bean's Projects
aiopstools
The fundamental package for AIops with python.
airflow-demo
Demo project tying together airflow, airbyte, and dbt
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
atoti_price
awesome-dash
A curated list of awesome Dash (plotly) resources
awesome-ts-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
azure-content
Repository containing the Articles on azure.microsoft.com Documentation Center
chatgpt_fastapi_dash
competition-baseline
数据科学竞赛各种baseline代码、思路分享
competition_baselines
开源的各大比赛baseline
complete-life-cycle-of-a-data-science-project
Complete-Life-Cycle-of-a-Data-Science-Project
cookiecutter-jupyter-book
Cookiecutter template for a simple jupyter book
covid_analysis
csv-to-influxdb
Simple python script that inserts data points read from a csv file into a influxdb database.
dash-flask-login
A plugin to integrate Dash and Flask-Login
dash-predictive-maintenance
Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.
dash-recipes
A collection of scripts and examples created while answering questions from the greater Dash community
data_amber
data_amber_post
demand_forcasting_and_safety_stock_management
Demand forcasting using time series analysis and safety stock optimization to provide desired service level
experta
Expert Systems for Python
funny_plot
future_hope_release
geojson_data
搜集来的geojson数据
gluon-ts
Probabilistic time series modeling in Python
google-research
Google Research
graphbrain
Language, Knowledge, Cognition
htw2018
Hack the Wind 2018 Hamburg
idaes-pse
The IDAES Process Systems Engineering Framework
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
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