Scalable-ML-on-big-data-using-Apache-Spark

An IBM sponsored course on Coursera

It deals with Apache Spark and specifically the Apache SparkML APIs and it deals completely in python.

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
Coursera_w1.ipynb		Coursera_w1.ipynb
Coursera_w1_2.ipynb		Coursera_w1_2.ipynb
Exercise on PCA.ipynb		Exercise on PCA.ipynb
Exercise on plotting.ipynb		Exercise on plotting.ipynb
Final-Project.ipynb		Final-Project.ipynb
First.ipynb		First.ipynb
Pyspark.txt		Pyspark.txt
README.md		README.md
Second.ipynb		Second.ipynb
Spark_intro.ipynb		Spark_intro.ipynb
W3-E2- Working with clusters (K-means).ipynb		W3-E2- Working with clusters (K-means).ipynb
W3-Modifying a Apache SparkML Feature Engineering .ipynb		W3-Modifying a Apache SparkML Feature Engineering .ipynb
W4- Exercis-1-logistic-regression.ipynb		W4- Exercis-1-logistic-regression.ipynb
W4-E1-Random-forest-regressor.ipynb		W4-E1-Random-forest-regressor.ipynb

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