Do we need to convert all data into numerical form before analyzing data e.g Male, Female into 0,1 ?

Dhiraj

Do we need to convert all data into numerical form before analyzing data e.g Male, Female into 0,1

Data

Oct 03 2016 09:14 PM

1 Answer(s)

Abhijit-Dezyre Support

Hi Dhiraj,

Every time we don't need to convert the data type. its purely based on the sample size, factors in a column, noise in the data and usecase.

Thanks.

Oct 05 2016 01:29 AM

Relevant Projects

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.

Data Science Project-TalkingData AdTracking Fraud Detection

Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

Real-Time Log Processing using Spark Streaming Architecture

In this Spark project, we are going to bring processing to the speed layer of the lambda architecture which opens up capabilities to monitor application real time performance, measure real time comfort with applications and real time alert in case of security

Create A Data Pipeline Based On Messaging Using PySpark And Hive - Covid-19 Analysis

In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.

Yelp Data Processing Using Spark And Hive Part 1

In this big data project, we will continue from a previous hive project "Data engineering on Yelp Datasets using Hadoop tools" and do the entire data processing using spark.

Forecast Inventory demand using historical sales data in R

In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

Solving Multiple Classification use cases Using H2O

In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.

Analysing Big Data with Twitter Sentiments using Spark Streaming

In this big data spark project, we will do Twitter sentiment analysis using spark streaming on the incoming streaming data.

Data Science Project - Instacart Market Basket Analysis

Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

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.

Learn how you can build Data Science Projects