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

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
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

andreiramani/Machine-Learning-with-Apache-Spark

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

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