Vivek Parashar – Medium

Vivek Parashar

Implementing a Machine Learning-Based Churn Solution

Feb 19

Implementing a Machine Learning-Based Churn Solution

Feb 19

Implementing a Machine Learning-Based Multi-Touch Attribution (MTA) Solution

Feb 19

Implementing a Machine Learning-Based Multi-Touch Attribution (MTA) Solution

Feb 19

Implementing Decision Tree Classification in Python and R

Photo by Jens Lelie on Unsplash

Feb 17

Implementing Decision Tree Classification in Python and R

Feb 17

Implementing Random Forest Classification in Python and R

Photo by Jakub Sejkora on Unsplash

Feb 17

Implementing Random Forest Classification in Python and R

Feb 17

Implementing Logistic Regression in Python and R

Logistic regression is a type of statistical analysis (also known as logit model). It is often used for predictive analytics and modeling…

Feb 17

Implementing Logistic Regression in Python and R

Feb 17

Implementing Random Forest Regression in Python and R

Random forest regression is a popular machine learning algorithm used for predicting numerical values. It is a variant of the random forest…

Feb 17

Implementing Random Forest Regression in Python and R

Feb 17

An Overview of Machine Learning Techniques

Machine learning is a subfield of artificial intelligence (AI) that allows systems to learn and improve from experience without being…

Feb 17

An Overview of Machine Learning Techniques

Feb 17

Statistical Hypothesis Testing

Hypothesis testing is a statistical method used to determine whether a hypothesis about a population parameter is supported by the data. It…

Feb 14

Statistical Hypothesis Testing

Feb 14

An Introduction to GitHub

A three part article series on version control using Git and GitHub. This is the third article in the series in which I will give a very…

Feb 14

An Introduction to GitHub

Feb 14

Git Cheatsheet

A three part article series on version control using Git and GitHub. This is the second article in the series in which I will share my Git…

Feb 14

Git Cheatsheet

Feb 14

Support Vector Regression

Support Vector Regression (SVR) is a type of regression algorithm that uses Support Vector Machines (SVM) to perform regression analysis…

Mar 17, 2023

Support Vector Regression

Mar 17, 2023

Implementing Linear Regression in Python and R

Regression is a supervised learning technique to predict the value of a continuous target or dependent variable using a combination of…

Mar 17, 2023

Implementing Linear Regression in Python and R

Mar 17, 2023

A Premier on Chi-squared test

The chi-square test is a statistical hypothesis test that is used to determine whether there is a significant association between two…

Mar 12, 2023

A Premier on Chi-squared test

Mar 12, 2023

A Premier on ANOVA

ANOVA (Analysis of Variance) is a statistical method used to analyze and test the differences between the means of three or more groups…

Mar 12, 2023

A Premier on ANOVA

Mar 12, 2023

A Premier on T-tests

T-tests are a class of statistical tests used to determine whether there is a significant difference between the means of two groups of…

Mar 12, 2023

A Premier on T-tests

Mar 12, 2023

Customer Segmentation using K-Means Clustering

Feb 14, 2023

Customer Segmentation using K-Means Clustering

Feb 14, 2023

Implementing Artificial Neural Networks using Python

Artificial Neural Networks (ANNs) are a type of machine learning model that are designed to simulate the function of a biological neural…

Mar 5, 2022

Implementing Artificial Neural Networks using Python

Mar 5, 2022

Overview of Deep Learning Activation Functions

Activation functions are a key component of neural networks in deep learning. They are mathematical functions applied to the output of a…

Feb 5, 2022

Overview of Deep Learning Activation Functions

Feb 5, 2022

Overview of Deep Learning Techniques

Deep learning is a subset of machine learning that involves training artificial neural networks to learn and perform complex tasks. While…

Jan 1, 2022

Overview of Deep Learning Techniques

Jan 1, 2022

Boosting vs Bagging Model Improvement Techniques

In machine learning, there are two popular techniques for improving the accuracy of models: boosting and bagging. Both techniques are used…

Dec 4, 2021

Boosting vs Bagging Model Improvement Techniques

Dec 4, 2021

Vivek Parashar

Vivek Parashar

Experienced in synthesizing data to identify trends, deliver insights and recommendations. Focused on customer lifecycle, cross-sell, and employee performance.

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