Data Science 2/3

Evergreen posts from some of our Ninjas...

Sep 25, 2022
4 min

Data Analytics, Tableau

The Beauty of REGEX in TABLEAU .. !

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3,442 views

Jun 18, 2022
2 min

CI/CD

How to run Jenkins with Java 17 on a Windows Machine!!

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3,990 views

How to run Jenkins with Java 17 on a Windows Machine!!

May 12, 2021
3 min

Featured

How AWS Textract Helped in Text Extraction From Handwritten Images For COVID 19 Resources

1,188 views

How AWS Textract Helped in Text Extraction From Handwritten Images For COVID 19 Resources

Jan 6, 2021
3 min

Featured

Making a simple and fast chatbot in 10 minutes

1,235 views

Dec 31, 2020
6 min

Featured

Transformers-In depth understanding of its working

1,611 views

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All Blogs

Jyothi Chanda

Mar 27, 2022
4 min

Central Tendencies in Statistics

Central Tendency Central tendency is defined as “the statistical measure that identifies a single value as representative of an entire...

Ruchi Sharma

Mar 26, 2022
2 min

Parsing JSON dataset using Pandas

Photo by Gabriel Heinzer on Unsplash In the process of Data gathering a Data Analyst have to handle various forms of data from different...

Mahitha Kumar

Sep 6, 2021
3 min

A thumbnail of Feature Engineering

You can't build a great building on a weak foundation. You must have a solid foundation if you're going to have a strong super structure....

Haripriya Saketh

Apr 28, 2021
3 min

Does your data have a structure?

Historically, organizations have mainly focused on structured data for any kind of visualization or analysis. Traditional systems and...

Demand Forecasting in Retail using Machine Learning

Haripriya Saketh

Apr 1, 2021
5 min

Demand Forecasting in Retail using Machine Learning

Machine learning is changing the way retailers do business!

Reading and writing using Feather Format

Madhuri

Mar 19, 2021
2 min

Reading and writing using Feather Format

When working on projects, I use pandas library to process and move my data around. It really works great on moderate-size datasets....

Vanishing and Exploding Gradients in Neural Networks

Margi Patel

Jan 19, 2021
2 min

Vanishing and Exploding Gradients in Neural Networks

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Image source In this blog, you will understand why the Vanishing and Exploding Gradient problem happens. What are Vanishing and Exploding...

What is Bias-Variance Trade-off in Machine Learning?

Margi Patel

Jan 4, 2021
3 min

What is Bias-Variance Trade-off in Machine Learning?

Image source In the process of building a Predictive Machine Learning model, we always come across some types of error, either with...

What is a Confusion Matrix in Machine Learning?

Margi Patel

Jan 4, 2021
2 min

What is a Confusion Matrix in Machine Learning?

Image source A Confusion matrix is an N x N matrix used for evaluating the performance of a classification model, where N is the number...

Basic understanding of simple Linear regression

Bhavika Madhu

Oct 21, 2020
2 min

Basic understanding of simple Linear regression

Linear regression is the one of the most known and understood algorithms in statistics and machine learning. What is a linear regression...

Nihar Ranjan Mahalik

Oct 20, 2020
4 min

Linear Regression In ML For Beginners

There are many blog postings out there about linear regression that give a better understanding of some concepts. There are also some...

Bhuvaneswari Gopalan

Sep 9, 2020
2 min

What is “Line of Best fit” in linear regression?

Simple linear regression is a statistical method that allows us to summarize and study relationships between two variables: One variable...

All about Linear Regression and Multi Linear Regression

Yamuna G

Sep 8, 2020
2 min

All about Linear Regression and Multi Linear Regression

Linear Regression Linear Regression is a very important fundamental algorithm. It is used to do predictive analysis. It shows the...

Namrata Kapoor

Sep 6, 2020
2 min

Linear Regression

When we try to represent relationship between variables, one of them is determining factor and other is explanatory, it is called Linear...

Margi Patel

Aug 28, 2020
4 min

Classification Algorithm Part 1: Logistic Regression Using R Language

What is Logistic Regression? Logistic regression is used when the dependent variable is categorical. For example, To predict whether the...

Margi Patel

Aug 3, 2020
2 min

Regression Algorithm Part 6: Random Forest Regression Using R Language

What is Random Forest Regression? Random Forest or Random Decision Forests are an ensemble learning method for classification and...

Margi Patel

Aug 3, 2020
3 min

Regression Algorithm Part 5: Decision Tree Regression Using R Language

What is Decision Tree Regression? Decision trees are a non-parametric supervised learning method used for both classification and...

Margi Patel

Aug 3, 2020
3 min

Regression Algorithm Part 4: Support Vector Regression Using R Language

What is Support Vector Regression? Support Vector Machine is a supervised machine learning algorithm that can be used for regression or...

Margi Patel

Aug 3, 2020
3 min

Regression Algorithm Part 3: Polynomial Linear Regression Using R Language

What is a Polynomial Linear Regression? Polynomial Linear Regression is similar to the Multiple Linear Regression but the difference is,...

Margi Patel

Aug 3, 2020
2 min

Regression Algorithm part2: Multiple Linear Regression Using R Language

What is a Multiple Linear Regression? Multiple Linear Regression is an extension of the simple linear regression algorithms to predict...