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solar data prediction

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by guruprasanth6901 dot icon Updated: Jan 9, 2022

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It is solar prediction tool. we taking the consideration of the battery power and the load powers both 1 and 2. if the net rate of the both battery power and inverted power per day is greater than the load power ,then outcome will be zero. else the outcome flag will be 1.

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pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. Scikit-learn is an indispensable part of the Python machine learning toolkit . It is very widely used across all parts of the bank for classification, predictive analytics, and very many other machine learning tasks. NumPy is a Python library used for working with arrays

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scikit-learn: machine learning in Python

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            scikit-learnby scikit-learn

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            scikit-learn: machine learning in Python
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                      pandasby pandas-dev

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                      Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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                                pandasby pandas-dev

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                                Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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                                          numpyby numpy

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                                          The fundamental package for scientific computing with Python.

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                                                    numpyby numpy

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                                                    The fundamental package for scientific computing with Python.
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                                                              Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy.

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                                                              matplotlib: plotting with Python

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                                                                                  auto-sklearnby automl

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                                                                                  Automated Machine Learning with scikit-learn

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                                                                                            auto-sklearnby automl

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                                                                                            Automated Machine Learning with scikit-learn
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                                                                                                      Official Matplotlib cheat sheets

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                                                                                                                cheatsheetsby matplotlib

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                                                                                                                Official Matplotlib cheat sheets
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                                                                                                                          here it is our github repo .

                                                                                                                          solardataby Guruprasanth14

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                                                                                                                          solar data prediction using knn algo

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                                                                                                                                    solardataby Guruprasanth14

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                                                                                                                                    solar data prediction using knn algo
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                                                                                                                                              Deployment Information

                                                                                                                                              our kit measures the power remaining for the next or not. Here we are using the KNN algorithm can compete with the most accurate models because it makes highly accurate predictions. Therefore, you can use the KNN algorithm for applications that require high accuracy but that do not require a human-readable model. It will predict the outcome.

                                                                                                                                              1.preparation of data 2.importing the libraries 3.cleaning the data(collecting only every days last time datas) 4.visualize the data (battery and load power) 5.train the data 6.use sklearn libraray 7.use knn alogoithm to predict the output