Practical_Exam_Work

Task-1:

Solution :

Converting .arff file to .csv file format
Loading .csv file and changing role of id from feature to meta
Setting Class/ASD as target
Setting pre-processing as above for Encoder, Normalization and missing value handling
Setting pre-processing as above for feature selection
Dataflow
Evaluation result of dataflow before preprocessing(Test and Score)
Evaluation result of dataflow after preprocessing(Test and Score)
Confusion matrix of Random Forest Classification before pre-processing
Confusion matrix of Logistic Regression before pre-processing
Confusion matrix of Logistic Regression after pre-processing
Confusion matrix of Random Forest Classification after pre-processing
Saving data table after pre-processing in .xlsx format

Task-2:

Getting data for PowerBI as Excel Workbook format
Loading data by selecting sheet1 and clicking on Load data
Fields of data table after loading data
Stacked Column chart between Class/ASD and id
Clustered Column chart between Class/ASD and id
Pie chart of id and result
Doughnut chart of id and result

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2x AWS Certified

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Janvi Ajudiya

Janvi Ajudiya

2x AWS Certified

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