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Comparative Stock Market Analysis in R using Quandl & tidyverse – Part I
Comparative Stock market analysis for banking stocks in India using various machine learning packages in R including Quandl, tidyverse to find hidden trends
Guest Blog 26 Aug, 2021
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How to Use Support Vector Machines (SVM) in Python and R
Take your machine learning skills to the next level with Support Vector Machines (SVM) for tasks like regression and classification.
Sunil Ray 16 Jun, 2025
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Python vs. R vs. SAS – which tool should I learn for Data Science?
Comparison of Python vs R vs SAS data analysis tools along various parameters with recommendations for data analysts and data scientists
Kunal Jain 07 Jun, 2020
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Naive Bayes Classifier Explained With Practical Problems
Learn how to use the Naive Bayes Classifier for fast and accurate classification in your machine learning projects. Start Reading Now!
Sunil Ray 01 May, 2025
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4 Essential Tools any Data Scientist can use to improve their productivity
This article covers the essential tools for data scientists for increasing their productivity on data science projects and workflows.
Faizan Shaikh 07 Jun, 2020
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Top 10 Machine Learning Algorithms in 2026
Learn about 10 machine learning algorithms that are transforming data analysis and shaping the future of computing. Read Now!
Sunil Ray 26 Dec, 2025
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Building Machine Learning Model is fun using Orange
Orange is a platform that is used for analysis. In this article we explored how to build a machine learning model using orange and visualize a dataset.
Analytics Vidhya 07 Jun, 2020
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30 Questions to Test a Data Scientist on Tree Based Models
30 Questions to test a data scientist on tree based models including decision trees, random forest, boosting algorithms in machine learning.
Ankit Gupta 27 Apr, 2023
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Top 30 KNN Interview Questions for Data Scientists
KNN interview questions for freshers and mid-senior professionals. Find the top 30 KNN interview questions with explanations and solutions.
Sunil Ray 07 Jan, 2026
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Solving Multi-Label Classification problems (Case studies included)
An introduction to multi label classification problems. This tutorial covers how to solve these problems using a multi-learn (scikit) library in Python
shubham.jain 15 Oct, 2024
