Pareto Principle In Analytics Dashboard
The Pareto Principle is commonly used in any exploratory data analysis, report or dashboard. Pareto principle is named after Italian civil engineer, economist, and sociologist Vilfredo Pareto. Vilfredo Pareto observed that about 80% of Italy’s land is owned by 20% of the population. The Pareto chart, a powerful data visualization tool for dashboards, combines […]
Automated Decision Making Through Machine Learning
Machine Learning is a discipline that enables computers to act like humans and automates decision making and predictions based on previously learned patterns. We discuss two applications of machine learning here – image identification and ecommerce purchase. Image identification by humans and machines For human brain identifying an image of a cat from a set […]
Data Science is the Future
In today’s modern age we see more and more companies and organizations embracing and truly unlocking the power of Data Science. Most businesses would benefit from structuring their data and the application of Data Science can be used in many fields. In the future, we will have even more powerful applications and will have streamlined […]
How Is Machine Learning Different From Data Science?
There are many misconceptions regarding Machine Learning and Data Science and if they are the same or are completely different worlds. What is Data Science? Data Science is defined as an interdisciplinary field that not only extracts knowledge but also extracts actionable insights from the given data. Data Scientists must be able to build models […]
10 Data Science Books You Should Follow
Data science is undoubtedly one of the hottest career choices right now and in this blog we will look at the 10 data science books that you useful to learn the subject. Companies (many of whom have data science departments) are hiring data scientists around the board. As data volume is exploding, it is a […]
Variance Inflation Factor
Introduction: Variance Inflation Factor or VIF is basically a measure of multicollinearity of the independent variables in a multiple regression model. Mathematically, the VIF of a regression model is the ratio of the overall model to the variance of a model that includes only that single independent variable. The ratio is calculated for each independent […]
How to get into Data Science in 9 Months
Do you want to become a data scientist? Is that because of the hype around this field lately? A lot of companies have realized the importance of data science in their business and are hiring professionals with job titles like Data Scientist, Data Analyst, Data Engineer, AI Engineer and Machine Learning Engineer. Is it because these are some of the […]
ANOVA Step By Step Procedure
Let us look at the steps to follow to perform Analysis of Variance(ANOVA). This would be very clear and easy to follow. ANOVA is used to analyze the difference in the means of different groups (for 3 or more groups). The procedure is made up of just three basic stages. Let’s take some time to […]
How To Introduce Machine Learning To Your Business
Artificial intelligence systems usually learn by example and are likely to learn better with high-quality examples. Low quality or insufficient training data can lead to unreliable systems that make poor decisions, reach the wrong conclusions, introduce or perpetuate bias and cannot handle real-world variation among other issues. Besides, poor data is costly. According to IBM, […]
Top 11 Interview question on Data Science for freshers
If you are looking for a data scientist position now start practicing these 11 Data Science Interview questions and answers. 1. Python or R – Which one would you prefer for text analytics? Ans: best possible answer for this would be Python because it has a Pandas library that provides easy to use data structures and high-performance data […]
Make Analytics Applications In Python Through Dash
Do you want to make a web-based analytics application with interactive graphs and maps? Dash platform is the right way to start your journey with. Dash platform enables data scientists or data analysts or analytics web developers to focus on data and models while producing cutting edge and ready analytics apps that sit on top […]
Goals And Applications Of Cluster Analysis
Goals of Cluster Analysis The goal of cluster analysis is to partition the data into distinct sub-groups or clusters such that observations belonging to the same cluster are very similar or homogeneous and observations belonging to different clusters are different or heterogeneous. The measurement of similarity may be distance, correlation, cosine similarity, etc. depending on […]