Running ML (Python Code) Using PySpark
Budget: $30 – $250 USD
Run the Classifier algorithm on local machine first and then re-run using PySpark Compare and contrast the results in terms of response and time complexity. Since PySpark will run locally or on Google/Jupyter Notebook, the difference may not be significant depending on number of clusters used.
Data set: https://www.kaggle.com/search?q=machine+learning, example is: Heart Disease Classification-Choose any.
please bid your final price and deadline.
Deliverables:
1- report on your findings of running a ML algorithm (classifier) using PySpark.
2- screenshots of the program run/output and description of how PySpark runs the program differently than traditional way (Research/Google search) of no more than 500 words
Data set: https://www.kaggle.com/search?q=machine+learning, example is: Heart Disease Classification-Choose any.
please bid your final price and deadline.
Deliverables:
1- report on your findings of running a ML algorithm (classifier) using PySpark.
2- screenshots of the program run/output and description of how PySpark runs the program differently than traditional way (Research/Google search) of no more than 500 words