KNN classification to predict the model.

1. Find an open source data set from an industry of your choice (Financial, medical, insurance, manufacturing, …).

2. Using the python apply the KNN classification or Random Forest algorithm to build a classification model to predict the class of sample records.

3. Write a code to calculate the accuracy of your model.

4. There are different methods to find out the best value of K (If you use KNN), find one and implement it in your code.

Compétences : Python, Exploitation de Données

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Concernant l'employeur :
( 3 commentaires ) HYDERABAD, India

Nº du projet : #31745335

18 freelances font une offre moyenne de 12 $/heure pour ce travail

(107 Commentaires)
(64 Commentaires)

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$12 CAD / heure
(49 Commentaires)

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(10 Commentaires)

More than two years of experience in Machine Learning with Python using Jupyter Notebook. Sound exposure to Data Preprocessing, Data Analysis techniques like Data Visualization, Feature Engineering, and Statistical Ana Plus

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Worked as data scientist for a company for than 4 years and proficient in building models to process the data.

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