Data Modelling By Applying CRISP-DM framework in JMP Software (Statistics)
$10-30 USD
Lezárt
Kiadva ekkor: több mint 3 évvel ezelőtt
$10-30 USD
Teljesítéskor fizetve
Project Requirements
1. Conduct exploratory data analysis on the data set prior to building classification and
prediction models. In the report, do not devote a lot of space to discussions of dead-
ends, the pursuit of unproductive ideas, technology problems, etc.
2. Develop a classification model for the DONR variable using any of the variables as
predictors (except ID and DAMT).Fit at least four candidate models (e.g., KNN,
Neural Network, logistic regression, random forest; not 4 specificiations of the
same algorithm) training data and evaluate the fitted models using the validation
data. Use “maximum profit” as the evaluation criteria and use your final selected
classification model to classify DONR responses in the test dataset.
3. Develop a prediction model for the DAMT variable using any of the variables as
predictors (except ID and DONR). Fit at least four candidate models (least squares
regression, best subset selection, principal components regression, partial least
squares, regression trees, etc.) using the training data and evaluate the fitted
models using the validation data. Use “root mean squared error error” as the
evaluation criteria and use your final selected prediction model to predict DAMT
responses in the test dataset.
o To be clear, use the training data to fit your model, and the validation dataset to
validate your model. Once you have selected your final model, retrain your final
model using both the training and validation model, and use this final fitted model
to generate your predictions for the test dataset.
4. You must write up your course project results in a professional report.
Hello Have you thought about collective learning? I am an expert in data science and machine learning and artificial intelligence. Fluent in Python language and deep learning. I have done several projects in this field so far and I have drawn a plan for your project. It will give you the best evaluation with several different evaluations and with the least mistakes and the best predictions. I will be happy to work with you. Thank you for your time.
Hi,
I have +5 experience dealing with machine learning algorithms and worked on multiple projects in this field,
Please contact me to discuss more.
Have a nice day
Hi,
I hope you are doing fine.
I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python, JAVA and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects.
I read about your project and am interested in working with you. Please send me a message so that we can discuss more.
Regards.