Topic: "pyspark-ml"
imsanjoykb/PySpark-Bootcamp
My Practice and project on PySpark
Language: Jupyter Notebook - Size: 4.52 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 3
j-i-l/ReviewedGrapes
ML models predicting wine varieties based on a wine review texts
Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
n1k-n1k/Big-Data-for-Data-Science--SA
Stepic Academy: Big Data for Data Science
Language: Jupyter Notebook - Size: 31.2 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 3
nazif96/Disease-prediction
Cardiovascular Disease Prediction
Language: Jupyter Notebook - Size: 62.5 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
armahdavi/BigData_pyspark_sales_analytics
Summarizing my big data codes in pyspark and h2o to analyze sales data with retail and walmart superstore to draw sales insights
Language: Jupyter Notebook - Size: 41 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
burhanahmed1/Iris-Dataset-Analysis-with-PySpark
Implementation of K-means,Bisecting K-means and Decision Tree in PySpark on the Iris Dataset.
Language: Jupyter Notebook - Size: 146 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
Kebab-kun/PySpark-House-Price-Prediction
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.
Language: Jupyter Notebook - Size: 211 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
avimonda298/Spark-ML
Worked on diffrent Spark classification and regression algorithms
Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
danielegiampaoli/PySpark-ML-library
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.
Language: Jupyter Notebook - Size: 359 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1
Ashutosh27ind/pySparkMLAnalysis
PySpark ML Heart and Advertisement Data Analysis
Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
