lifeisawavesorideit Goto Github PK

12-month-forecast-with-lstm

This is an example of LSTM used to forecast the next 12 months on the Air Passengers dataset.

99_learn_jvns_pandas-cookbook

Recipes for using Python's pandas library

awesome-public-datasets

A topic-centric list of HQ open datasets.

dash-sample-apps

Open-source demos hosted on Dash Gallery

data-analysis

Data Science Using Python

data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

evaluation-paper

Supporting material and website for the paper "Anomaly Detection in Time Series: A Comprehensive Evaluation"

examples

Example Revel Applications

examples-1

Collection of example applications and tools to help you get familiar with TimescaleDB

exploring-nasas-turbofan-dataset

collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset

fastapi-mongodb-realworld-example-app

Backend logic implementation for https://github.com/gothinkster/realworld with awesome FastAPI

gos7

Implementation of Siemens S7 protocol in golang

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

k-nearest-neighbors-with-dynamic-time-warping

Python implementation of KNN and DTW classification algorithm

learning-keras

materials

Bonus materials, exercises, and example projects for our Python tutorials

parkplaetzedd

Analyse und Machine Learning mit offenen Parkplatzdaten aus Dresden

python-snap7

A Python wrapper for the snap7 PLC communication library

python-trading-robot

A trading robot, that can submit basic orders in an automated fashion using the TD API.

similarity_measures

Quantify the difference between two arbitrary curves in space

streamlit-sparrow-labeling-comp

Streamlit component for invoice document labeling

tensorflow_prophet_influxdb

Forecasting with TensorFlow and Prohpet with InfluxDB_v2.0 in Jupyter Notebook

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

turbofan_usefull_life_prediction

given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a new jet engine that has measurements of the same sensor for a period of time equal to its current operational time.

weibull-knowledge-informed-ml

Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).