Yesh Damania – Medium

Yesh Damania

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Yesh Damania

What is Linear Regression in Data Science ?

It is Supervised Machine Learning Algorithm. It works on the labelled data which is X and Y where Y is Continuous in nature.

Mar 14

What is Linear Regression in Data Science ?

Mar 14

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Yesh Damania

Introduction to Machine Learning

What is Machine Learning ?

Feb 22

Introduction to Machine Learning

Feb 22

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Yesh Damania

Predictive Modelling Flow in Machine Learning

Predictive modeling in machine learning is a powerful technique used to analyze historical data and make predictions about future outcomes…

Feb 26

Predictive Modelling Flow in Machine Learning

Feb 26

Yesh Damania

Unlocking Customer Insights with RFM Analysis: Boost Your Marketing Strategy

Recency, frequency, monetory value (RFM) is a model used in marketing analysis that segments a company’s base by their purchasing patterns…

Jul 5

Unlocking Customer Insights with RFM Analysis: Boost Your Marketing Strategy

Jul 5

Yesh Damania

Market Basket Analysis: A Strategic Approach to Understanding Customer Behavior

Market Basket Analysis (MBA) is a strategic data mining technique used by retailers to enhance sales by gaining a deeper understanding of…

Jun 27

Market Basket Analysis: A Strategic Approach to Understanding Customer Behavior

Jun 27

Yesh Damania

What is K-means Clustering in Data Science ?

It is Un-Supervised Machine Learning Algorithm. It works on the Un-labelled data which is only X and not Y.

Jun 22

What is K-means Clustering in Data Science ?

Jun 22

Yesh Damania

Understanding PCA in Machine Learning: A Comprehensive Guide

Principal Component Analysis (PCA) is a useful tool in machine learning for reducing the number of variables in a dataset. It works by…

Jun 19

Understanding PCA in Machine Learning: A Comprehensive Guide

Jun 19

Yesh Damania

Balancing the Scales: Effective Methods to Handle Imbalanced Data in Machine Learning

Imbalanced data in machine learning refers to datasets where certain classes are severely underrepresented, potentially leading models to…

Jun 15

Balancing the Scales: Effective Methods to Handle Imbalanced Data in Machine Learning

Jun 15

Yesh Damania

Ensembled Modelling Boosting

In machine learning, achieving high accuracy is crucial. Individual models, called learners, have their limits, but ensemble learning…

Jun 11

Ensembled Modelling Boosting

Jun 11

Yesh Damania

The Art of Bagging: Enhancing Decision Trees with Ensemble Techniques

In machine learning, an “ensemble” refers to a group of models working together to improve prediction accuracy beyond what a single model…

Jun 8

The Art of Bagging: Enhancing Decision Trees with Ensemble Techniques

Jun 8

Yesh Damania

Yesh Damania

Skilled in analyzing data to derive actionable insights and build predictive models. Passionate about leveraging data-driven approaches to solve complex problem

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