In Progress

Software defect prediction

I want to do this by $70:

(1) edit the error in stacked autoencoder code. This code used as a feature selection algorithm.

(2) Add LSTM code as a classification method the first time, then CNN as a classification method another time.

Please I want it by proper settings that appropriate for the type of the dataset and the purpose of classification.

(3) Count the mean and median for each case in the code for all the 5 folds. (i used Kfold function , 5 folds).

Example: the mean of the results of the feature selection with classifier LSTM in (fold1 + fold2 + fold3 +fold4 +fold5).

then the mean of the results of the feature selection with classifier CNN in (fold1 + fold2 + fold3 +fold4 +fold5).

Notes:

The type of dataset contains software metrics.

The purpose of this methodology to predict defects in software.

X refers to all attributes.

Y refers to the class.

The class is the last attribute in the dataset that determines defect or not defect, buggy or clean,...etc.

the work on python 3.6 on pycharm.

Skills: Python, Deep Learning, Data Analysis

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About the Employer:
( 4 reviews ) Baha, Saudi Arabia

Project ID: #29410788

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ravim211071

hi there I have read your project carefully and understand your requirements. I am well experienced in machine learning using python, so what you have mentioned in the projects I am doing same in python. I can help y More

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4 freelancers are bidding on average $70 for this job

qaisrani123

HI, I am experienced data scientist and machine learning engineer. I used statistical analysis of the data and make prediction based on ML algorithms.I can handle computer vision and NLP tasks using Python(Tensorflow, More

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MohammedSulhi

I read your project description carefully. I am bidding on your project because I am very much familiar with Machine learning and Python. Have previous experience in LSTM and Autoencoder feature selection. I am an exp More

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softbox06

Interested in your project. The bid is negotiable and we can talk about the price. I am computer vision/machine learning and data analyst engineer. I did many industrial projects. see My work: [login to view URL] More

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