vishwajeetdabholkar / Spark-ML-model-example

Spark’s library for machine learning is called MLlib (Machine Learning library). It’s heavily based on Scikit-learn’s ideas on pipelines.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Spark-ML-model-example

Spark’s library for machine learning is called MLlib (Machine Learning library). It’s heavily based on Scikit-learn’s ideas on pipelines.

For this example, we will use a very basic dataset. The Titanic dataset, hopefully, you are all familiar with the case and the data. To start we have to download the data, for that we are using Kaggle: Titanic: Machine Learning from Disaster Start here! Predict survival on the Titanic and get familiar with ML basics www.kaggle.com

Just download the “train.csv” file it is also available in this repo.

We will be predicting if a passenger survived or not depending on its features.

About

Spark’s library for machine learning is called MLlib (Machine Learning library). It’s heavily based on Scikit-learn’s ideas on pipelines.


Languages

Language:Jupyter Notebook 100.0%