Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan

Last update: Dec 31, 2021

Overview

End-to-End Machine Learning of Historical Solar Radiation for Islamabad

Link: https://solar-isb-flaskapp.herokuapp.com/

Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan.

Input: month, day, Daily_Temp, Daily_Precip, Daily_Humidity, Daily_Pressure, Daily_WindDir, Daily_WindSpeed, Daily_DNI, Daily_GHI Output: Daily_radiation

Use Json Input

{
    "month":12,
    "day":3,
    "Daily_Temp":10.98,
    "Daily_Precip":9.07,
    "Daily_Humidity":59.20,
    "Daily_Pressure":929.06,
    "Daily_WindDir":167.30,
    "Daily_WindSpeed":1.86,
    "Daily_DNI":522.20,
    "Daily_GHI":324.60
}

Results

[
    {
        "Daily_DNI": 522.2,
        "Daily_GHI": 324.6,
        "Daily_Humidity": 59.2,
        "Daily_Precip": 9.07,
        "Daily_Pressure": 929.06,
        "Daily_Temp": 10.98,
        "Daily_WindDir": 167.3,
        "Daily_WindSpeed": 1.86,
        "day": 3,
        "month": 12
    },
    {
        "solar irradiance": 92.71980683342349
    }
]

Postman

Mlflow

NeptuneAI

Owner

Abid Ali Awan

Love building machine learning product and working on MLOps. Currently, focusing on content creation, building brand, and startup.

GitHub Repository https://solar-isb-flaskapp.herokuapp.com/

Bodywork deploys machine learning projects developed in Python, to Kubernetes.

Bodywork deploys machine learning projects developed in Python, to Kubernetes. It helps you to: serve models as microservices execute batch jobs run r

409 Jan 01, 2023

决策树分类与回归模型的实现和可视化

DecisionTree 决策树分类与回归模型，以及可视化 DecisionTree ID3 C4.5 CART 分类回归决策树绘制分类树回归树调参剪枝 ID3 ID3决策树是最朴素的决策树分类器：无剪枝只支持离散属性采用信息增益准则在data.py中，我们记录了一个小的西瓜数据

10 Oct 22, 2022

This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing variance.

minvar_invest_portfolio This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing var

1 Jan 06, 2022

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

GENDIS GENetic DIscovery of Shapelets In the time series classification domain, shapelets are small subseries that are discriminative for a certain cl

90 Oct 28, 2022

A Python implementation of the Robotics Toolbox for MATLAB

Robotics Toolbox for Python A Python implementation of the Robotics Toolbox for MATLAB® GitHub repository Documentation Wiki (examples and details) Sy

1.2k Jan 07, 2023

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

Petastorm Contents Petastorm Installation Generating a dataset Plain Python API Tensorflow API Pytorch API Spark Dataset Converter API Analyzing petas

1.6k Dec 31, 2022

Model factory is a ML training platform to help engineers to build ML models at scale

Model Factory Machine learning today is powering many businesses today, e.g., search engine, e-commerce, news or feed recommendation. Training high qu

16 Sep 23, 2022

Automated Machine Learning Pipeline for tabular data. Designed for predictive maintenance applications, failure identification, failure prediction, condition monitoring, etc.

10 May 15, 2022

Getting Profit and Loss Make Easy From Binance

Getting Profit and Loss Make Easy From Binance I have been in Binance Automated Trading for some time and have generated a lot of transaction records,

17 Dec 21, 2022

Price Prediction model is used to develop an LSTM model to predict the future market price of Bitcoin and Ethereum.

2 Jun 14, 2022

This project has Classification and Clustering done Via kNN and K-Means respectfully

This project has Classification and Clustering done Via kNN and K-Means respectfully. It later tests its efficiency via F1/accuracy/recall/precision for kNN and Davies-Bouldin Index for Clustering. T

0 Jan 20, 2022

Implementation of linesearch Optimization Algorithms in Python

Nonlinear Optimization Algorithms During my time as Scientific Assistant at the Karlsruhe Institute of Technology (Germany) I implemented various Opti

3 Dec 06, 2022

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Little Ball of Fur is a graph sampling extension library for Python. Please look at the Documentation, relevant Paper, Promo video and External Resour

619 Dec 14, 2022

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Sebastian Raschka 2014-2021 Links Doc

4.2k Dec 29, 2022

An easier way to build neural search on the cloud

Jina is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the effici

17k Jan 01, 2023

Interactive Parallel Computing in Python

Interactive Parallel Computing with IPython ipyparallel is the new home of IPython.parallel. ipyparallel is a Python package and collection of CLI scr

2.3k Dec 30, 2022

Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.

pyspark-anonymizer Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark envir

6 Jun 30, 2022