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6 Common Probability Distributions every data science professional should know
Introduction Suppose you are a teacher in a university. After checking assignments for a week, you graded all the students. You gave these graded …
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Comparative Stock Market Analysis in R using Quandl & tidyverse- Part I
Introduction What differentiates the best data scientists from others? It is their focus on application of data science. The best data scientists I know …
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Understanding Support Vector Machine algorithm from examples (along with code)
Note: This article was originally published on Oct 6th, 2015 and updated on Sept 13th, 2017 Introduction Mastering machine learning algorithms isn’t a myth …
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Python vs. R (vs. SAS) – which tool should I learn?
Note: This article was originally published on Mar 27th, 2014 and updated on Sept 12th, 2017 Introduction We love comparisons! From Samsung vs. Apple vs. …
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6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)
Note: This article was originally published on Sep 13th, 2015 and updated on Sept 11th, 2017 Introduction Here’s a situation you’ve got into: You …
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4 Essential Tools any Data Scientist can use to improve their productivity
Introduction Many people have asked me this question that whenever they get started with data science, they get stuck with the manifold of tools …
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Exclusive Interview with Pankaj Kulshreshtha, CEO, Scienaptic Systems
“Corporate by chance, Entrepreneur by choice” – Interview with Pankaj Kulshreshtha, CEO, Scienaptic Systems If you have to learn experience of other people, I …
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Essentials of Machine Learning Algorithms (with Python and R Codes)
Note: This article was originally published on Aug 10, 2015 and updated on Sept 9th, 2017 Introduction Google’s self-driving cars and robots get a lot …
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Building Machine Learning Model is fun using Orange
Introduction With growing need of data science managers, we need tools which take out difficulty from doing data science and make it fun. Not …
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Creating & Visualizing Neural Network in R
Introduction Neural network is an information-processing machine and can be viewed as analogous to human nervous system. Just like human nervous system, which is …
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30 Questions to test a data scientist on Tree Based Models
Introduction Decision Trees are one of the most respected algorithm in machine learning and data science. They are transparent, easy to understand, robust in …
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30 Questions to test a data scientist on K-Nearest Neighbors (kNN) Algorithm
Introduction If you were to ask me 2 most intuitive algorithms in machine learning – it would be k-Nearest Neighbours (kNN) and tree based …
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How to create jaw dropping Data Visualizations on the web with D3.js?
Introduction Data Visualization is the way a data scientist expresses himself / herself. Creating a meaningful visualization requires you to think about the story, …
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Solving Multi-Label Classification problems (Case studies included)
Introduction For some reason, Regression and Classification problems end up taking most of the attention in machine learning world. People don’t realize the wide …
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Getting Started with Audio Data Analysis using Deep Learning (with case study)
Introduction When you get started with data science, you start simple. You go through simple projects like Loan Prediction problem or Big Mart Sales …
