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01 Building_and_training_a_model_using_Linear_Regression.ipynb
01 Building_and_training_a_model_using_Linear_Regression.ipynb
 
 
02 Build_a_classifier_using_Logistic_Regression.ipynb
02 Build_a_classifier_using_Logistic_Regression.ipynb
 
 
03 Metrics_for_Regression.ipynb
03 Metrics_for_Regression.ipynb
 
 
04 Metrics_for_Classification.ipynb
04 Metrics_for_Classification.ipynb
 
 
05 Clustering.ipynb
05 Clustering.ipynb
 
 
06 Connecting_to_spark_cluster_using_Skills_Network_labs.ipynb
06 Connecting_to_spark_cluster_using_Skills_Network_labs.ipynb
 
 
07 Regression_using_SparkML.ipynb
07 Regression_using_SparkML.ipynb
 
 
08 Classification_using_SparkML.ipynb
08 Classification_using_SparkML.ipynb
 
 
09 Clustering_using_SparkML.ipynb
09 Clustering_using_SparkML.ipynb
 
 
10 ETL_using_Spark.ipynb
10 ETL_using_Spark.ipynb
 
 
11 Analyse_a_dataset_using_SparkSQL.ipynb
11 Analyse_a_dataset_using_SparkSQL.ipynb
 
 
12 Feature_Extraction_and_Transformation_using_Spark.ipynb
12 Feature_Extraction_and_Transformation_using_Spark.ipynb
 
 
13 ML_Pipelines_using_SparkML.ipynb
13 ML_Pipelines_using_SparkML.ipynb
 
 
14 Model_persistance_using_SparkML.ipynb
14 Model_persistance_using_SparkML.ipynb
 
 
15 Practice_Project.ipynb
15 Practice_Project.ipynb
 
 
16 Final_Project.ipynb
16 Final_Project.ipynb
 
 
Data Engineering vs Machine Learning Pipelines.pdf
Data Engineering vs Machine Learning Pipelines.pdf
 
 
NASA_airfoil_noise_raw.csv
NASA_airfoil_noise_raw.csv
 
 
README.md
README.md
 
 
customers.csv
customers.csv
 
 
diamonds.csv
diamonds.csv
 
 
drybeans.csv
drybeans.csv
 
 
iris.csv
iris.csv
 
 
mpg-raw.csv
mpg-raw.csv
 
 
mpg.csv
mpg.csv
 
 
proverbs.csv
proverbs.csv
 
 

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Machine Learning with Apache Spark

Course 12 from 13 (Part of IBM Data Engineering Professional Certificate by Coursera)

Collection of all hands-on and final project for course 12 - "Machine Learning with Apache Spark". Since Skills Network Lab upgraded, the virtual lab experience is flawless. Unfortunately, maybe there is some misclassification correct answer on 'Final Project Evaluation' because I can get 100% correct answer on evaluation.

Probable misclassification correct answer are:

    What is the coefficient for Frequency?
    What is the coefficient for AngleOfAttack?
    What is the coefficient for ChordLength?
    What is the coefficient for FreeStreamVelocity?
    What is the coefficient for SuctionSideDisplacement?

Any discussion are welcome....

My accomplishment certificate in this link

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Coursera IBM Data Engineering (Course 12 from 13)

www.coursera.org/learn/machine-learning-with-apache-spark

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apache-spark pipeline etl sparkml sparksql ibm-data-engineering

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