How to do SVD with Dask?
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

How to do SVD with Dask?

How to do SVD with Dask?

This recipe helps you do SVD with Dask

0

Recipe Objective

How to do SVD with Dask?

SVD stands for Singular value Decomposition. This transformer performs linear dimensionality reduction by means of truncated singular value decomposition (SVD).

Step 1- Importing Libraries.

import dask.array as da import dask from dask_ml.decomposition import TruncatedSVD import dask.array as da

Step 2- Instantiating SVD.

svd = TruncatedSVD(n_components=5, n_iter=3, random_state=42) svd.fit(X)

Step 3- Printing explained variance ratio sum.

print(svd.explained_variance_ratio_.sum())

Additional Info.

Visualizing how this tranformer works.

X = da.random.random((100, 10), chunks=(50, 10)).persist() x, y, z = da.linalg.svd(X) dask.visualize(x, y, z)

Relevant Projects

Natural language processing Chatbot application using NLTK for text classification
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

Predict Churn for a Telecom company using Logistic Regression
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

Perform Time series modelling using Facebook Prophet
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.

Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Data Science Project in Python on BigMart Sales Prediction
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.

Machine Learning project for Retail Price Optimization
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.

Identifying Product Bundles from Sales Data Using R Language
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.

German Credit Dataset Analysis to Classify Loan Applications
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.