We have often heard of optimization as a subject more relevant to Operations Research. But as a Data Science student, I got an opportunity to explore Genetic Algorithms in the field of data mining & machine learning. It is interesting that Darwin’s theory of evolution is an optimization process and there have been many research…
Data Mining and Analytics is a field to seek answers from an ocean of data. One of the interesting field of mining is Text Mining. As I started exploring that field, I looked for the inspiration behind Opinion Mining and Sentiment Analysis. This blog is a quick introduction to the Text Mining topic with W-H questions…
As a part of Descriptive Statistics, in the previous blog we looked at what are the basic descriptive statistics that one can start with. This blog extends that idea further to explore the data in hand and get a more detailed picture. The basic descriptive statistics are the central tendency (mean, median, modes, etc.), the…
Statistics can be divided into branches of which one is Descriptive Statistics. Descriptive Statistics is about studying the data we have in hand. It is not used to draw any implied inferences. In Descriptive Statistics we perform basic graphical and quantitative analytics. Such statistics is used so that we can denote or highlight the behavior/characteristics…
This article talks about Simple Linear Regression from the scratch – From different types of regression to concepts underlying for evaluation of a model to predicting future values based on regression. The topics covered are – Introduction Some properties of Simple Linear Regression Model Types of Regression Estimating the Best Fitting Line Properties of Least…
Probability Distributions are used as an aid in Businesses while making Financial Risk Assessments, Inventory or Sales Forecasting, Annual Planning, etc. They are also used to determine the probability of demand for certain product or probability of number of people visiting the store in specific time interval and so on. This article mentions basic Discrete…
As the aspiring data analysts and scientists, we have been reading on every second web link that probability lies as the bedrock of the data science. However, we often fail to understand why we should study probability and how it makes relevance. In this article and some other following articles, I have tried to put…
I, recently, read a blog from Harvard Business Review, which mentioned that linear regression is the business world’s most preferred technique for establishing relationship between variables. Apparently, it is the basic tool to predict future outcomes. As we understand, linear regression is all about predicting a value of a variable (dependent variable) based on other…
With the advancement in the studies like natural language processing, artificial intelligence and engineering, today we have reached a stage where experts from all these fields are willing to come together to apply their techniques in almost every business field. Because of such expansion, we are now able to collect as well as store extensive…
As we stand at the doorstep of Analytics world and clearly understand that we need to cross the chasm between BI and Analytics, we hesitate to take the leap. We hesitate, as we fail to understand how exactly to leverage it. If you do not know how to ask the right question, you discover nothing.…