lifeisawavesorideit

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12-Month-Forecast-With-LSTM

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

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99_LEARN_jvns_pandas-cookbook

Recipes for using Python's pandas library

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awesome-public-datasets

A topic-centric list of HQ open datasets.

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dash-sample-apps

Open-source demos hosted on Dash Gallery

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Data-Analysis

Data Science Using Python

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data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

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evaluation-paper

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

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examples

Example Revel Applications

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examples-1

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

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exploring-nasas-turbofan-dataset

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

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fastapi-mongodb-realworld-example-app

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

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gos7

Implementation of Siemens S7 protocol in golang

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introduction_to_ml_with_python

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

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K-Nearest-Neighbors-with-Dynamic-Time-Warping

Python implementation of KNN and DTW classification algorithm

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materials

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

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ParkplaetzeDD

Analyse und Machine Learning mit offenen Parkplatzdaten aus Dresden

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python-snap7

A Python wrapper for the snap7 PLC communication library

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python-trading-robot

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

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similarity_measures

Quantify the difference between two arbitrary curves in space

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streamlit-sparrow-labeling-comp

Streamlit component for invoice document labeling

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tensorflow_prophet_influxdb

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

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ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

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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.

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weibull-knowledge-informed-ml

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

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