What is Factor Analysis in the StatsModels library?

This recipe describes what is Factor Analysis in the StatsModels library

Get access to Data Science projects View all Data Science projects
MACHINE LEARNING PROJECTS IN PYTHON DATA CLEANING PYTHON DATA MUNGING MACHINE LEARNING RECIPES PANDAS CHEATSHEET     ALL TAGS

Recipe Objective - What is Factor Analysis in the StatsModels library?

The factor is a class used to perform factor analysis. FactorResults stores the results of factor class.
It belongs to a class statsmodels.multivariate.factor.Factor(endog=None, n_factor=1, corr=None, method='pa', smc=True, endog_names=None, nobs=None, missing='drop')

Access Loan Eligibility Prediction Projects with Source Code 

For more related projects -

https://www.dezyre.com/projects/data-science-projects/deep-learning-projects
https://www.dezyre.com/projects/data-science-projects/neural-network-projects

Table of Contents

Parameters:

endog
Variables in columns, observations in rows. May be None if corr is not None.

n_factor
The number of factors to extract

corr
Directly specify the correlation matrix instead of estimating it from endog. If provided, endog is not used for the factor analysis; it may be used in post-estimation.

method
The method to extract factors, currently must be either ‘pa’ for principal axis factor analysis or ‘ml’ for maximum likelihood estimation.

smc
Whether or not to apply squared multiple correlations (method=’pa’)

endog_names
Names of endogenous variables. If specified, it will be used instead of the column names in endog

nobs
The number of observations, not used if endog is present. Needs to be provided for inference if endog is None.

Methods:

fit([maxiter, tol, start, opt_method, opt, ...])
Estimate factor model parameters.

from_formula(formula, data[, subset, drop_cols])
Create a Model from a formula and dataframe.

loglike(par)
Evaluate the log-likelihood function.

predict(params[, exog])
After a model has been fit predict returns the fitted values.

score(par)
Evaluate the score function (first derivative of loglike).

What Users are saying..

profile image

Ameeruddin Mohammed

ETL (Abintio) developer at IBM
linkedin profile url

I come from a background in Marketing and Analytics and when I developed an interest in Machine Learning algorithms, I did multiple in-class courses from reputed institutions though I got good... Read More

Relevant Projects

Machine Learning Projects
Data Science Projects
Python Projects for Data Science
Data Science Projects in R
Machine Learning Projects for Beginners
Deep Learning Projects
Neural Network Projects
Tensorflow Projects
NLP Projects
Kaggle Projects
IoT Projects
Big Data Projects
Hadoop Real-Time Projects Examples
Spark Projects
Data Analytics Projects for Students

You might also like

Data Science Tutorial
Data Scientist Salary
How to Become a Data Scientist
Data Analyst vs Data Scientist
Data Scientist Resume
Data Science Projects for Beginners
Machine Learning Engineer
Machine Learning Projects for Beginners
Datasets
Pandas Dataframe
Machine Learning Algorithms
Regression Analysis
MNIST Dataset
Data Science Interview Questions
Python Data Science Interview Questions
Spark Interview Questions
Hadoop Interview Questions
Data Analyst Interview Questions
Machine Learning Interview Questions
AWS vs Azure
Hadoop Architecture
Spark Architecture

Relevant Projects

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.
View Project Details
Time Series Forecasting Project-Building ARIMA Model in Python
Build a time series ARIMA model in Python to forecast the use of arrival rate density to support staffing decisions at call centres.
View Project Details
Ola Bike Rides Request Demand Forecast
Given big data at taxi service (ride-hailing) i.e. OLA, you will learn multi-step time series forecasting and clustering with Mini-Batch K-means Algorithm on geospatial data to predict future ride requests for a particular region at a given time.
View Project Details
Deploy Transformer-BART Model on Paperspace Cloud
In this MLOps Project you will learn how to deploy a Tranaformer BART Model for Abstractive Text Summarization on Paperspace Private Cloud
View Project Details
Demand prediction of driver availability using multistep time series analysis
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.
View Project Details
Build Portfolio Optimization Machine Learning Models in R
Machine Learning Project for Financial Risk Modelling and Portfolio Optimization with R- Build a machine learning model in R to develop a strategy for building a portfolio for maximized returns.
View Project Details
Hands-On Approach to Master PyTorch Tensors with Examples
In this deep learning project, you will learn how to perform various operations on the building block of PyTorch : Tensors.
View Project Details
Build a Churn Prediction Model using Ensemble Learning
Learn how to build ensemble machine learning models like Random Forest, Adaboost, and Gradient Boosting for Customer Churn Prediction using Python
View Project Details
Tensorflow Transfer Learning Model for Image Classification
Image Classification Project - Build an Image Classification Model on a Dataset of T-Shirt Images for Binary Classification
View Project Details
NLP Project for Beginners on Text Processing and Classification
This Project Explains the Basic Text Preprocessing and How to Build a Classification Model in Python
View Project Details