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  • Question
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Tags
#DataScience #machineLearning
Question
Machine Learning Approach/Steps
Answer
  1. Understand the problem/dataset. Also deal with the outliers and null values?
  2. Extract the features from the dataset. Check correlations, meaningful fields.
  3. Identify the problem type. Continuous/Catergorical?
  4. Choose the right model. Linear regression, logistic regression, clustering?
  5. Train and test the model. Check accuracy, errors.
  6. Strive for accuracy. Play with factors or relook at features if required.

Tags
#DataScience #machineLearning
Question
Machine Learning Approach/Steps
Answer
?

Tags
#DataScience #machineLearning
Question
Machine Learning Approach/Steps
Answer
  1. Understand the problem/dataset. Also deal with the outliers and null values?
  2. Extract the features from the dataset. Check correlations, meaningful fields.
  3. Identify the problem type. Continuous/Catergorical?
  4. Choose the right model. Linear regression, logistic regression, clustering?
  5. Train and test the model. Check accuracy, errors.
  6. Strive for accuracy. Play with factors or relook at features if required.

Summary

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Details

No repetitions

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