My Practice and project on PySpark

ML models predicting wine varieties based on a wine review texts

Stepic Academy: Big Data for Data Science

Cardiovascular Disease Prediction

PySpark is a Python API for support Python with Spark. Whether it is to perform computations on large datasets or to just analyze them

Summarizing my big data codes in pyspark and h2o to analyze sales data with retail and walmart superstore to draw sales insights

This is a tutorial on how to exploit PySpark's Machine Learning library spark.ml in order to run basic statistical analysis and classical machine learning algorithms.

Worked on diffrent Spark classification and regression algorithms

Scalable PySpark implementation of clustering and classification on the Iris dataset, employing K-means, bisecting K-means, and decision-tree algorithms for high-performance botanical data analytics.

PySpark ML Heart and Advertisement Data Analysis

Getting started with PySpark

PySpark House Price Prediction features a PySpark-based Linear Regression model for predicting median house prices. It showcases data preprocessing, model training, and evaluation, yielding an RMSE of around 0.11. The code offers insights into building robust predictive models using PySpark.