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Articles by Mythili Krishnan
How not to lose your job
How certain personality types are more prone than others to lose a job Mythili Krishnan · Follow Published in ILLUMINATION · 6 min read · -- Image from Wannapic In today’s age, job uncertainty weighs on everyone — to the extent it starts affecting our mental health. It is like that elephant in the room that everyone can see but nobody talks about. But what if I told you that certain personality types of employees are more likely to lose their job than others?Sounds interesting?
Partial Dependence Plots: How to Discover Variables Influencing a Model
Explainability of machine learning models Have you ever wondered how machine learning models are constructed? ‘Explainability of machine learning models’ and ‘machine learning models being a black-box’ is one of the most debated topics in model transparency. Today we will explore this and learn some quick techniques on how to find out which variables are influencing the model results and by how much.
How to Clean Your Data for Your Real-Life Data Science Projects
We often hear – "Ohh, there are packages available to do everything! It takes only 10 mins to run the models using the packages." Yes, agreed there are packages – but they work only if you have a clean dataset ready to go with it. And how long does it take to create, curate, and clean a dataset from multiple sources that’s fit for purpose? Ask a data scientist who is struggling to create one.
Credit Card Fraud Detection with Different Sampling Techniques
How to deal with imbalanced data Credit card fraud detection is a plague that all financial institutions are at risk with. In general fraud detection is very challenging because fraudsters are coming up with new and innovative ways of detecting fraud, so it is difficult to find a pattern that we can detect. For example, in the diagram all the icons look the same, but there one icon that is slightly different from the rest and we have pick that one. Can you spot it?
Credit Card Fraud Detection with Different Sampling Techniques
Credit card Fraud Detection is a plague that all financial institutions are at risk with. In general fraud detection is very challenging because fraudsters are coming up with new and innovative ways of detecting fraud, so it is difficult to find a pattern that we can detect. For example, in the diagram all the icons look the same, but there one icon that is slightly different from the rest and we have pick that one. Can you spot it?
Effectiveness Of Self Instructional Leaflet On Knowledge And Attitude Regarding Prevention And Management Of Varicose Veins Among Housekeeping Workers Employed At Panimalar Medical College Hospital & Research Institute.
Background: Varicose veins, a common condition involving the dilation and twisting of veins, often affect the lower limbs and can lead to discomfort, pain, and complications such as ulcers. This condition arises due to prolonged standing, heavy lifting, and other physical strain, making it particularly prevalent amonghousekeeping workers in hospitals.
Predict Application Failure Using Apriori Algorithm And Isolation Forest
You are trying to purchase your favourite T-shirt from a popular online store. Just as you click on the “Add to cart” button following screen pops up Fig 1: Server error Looks familiar? Many of us might have encountered this kind of an error while browsing the internet, trying to load an application or maybe making a purchase from a website. So, what just happened here. Minor network glitch or is it something bigger?
Under the Hood: Correlation and Collinearity
Photo by unsplash.com/alinnnaaaa In my last post, I discussed the Gini impurity metric, and how it can assist your work in fitting a decision tree model. Knowledge of mathematics, however, is not limited to interpreting the results and performance of a machine learning algorithm. More importantly, there is no concept of data science that is not worth revisiting or delving more in depth on.
Game Theory concepts with application in Python using Nashpy (Part 1)
Does this image below ring a bell? “File:Rock-paper-scissors.svg” by Enzoklop is licensed under CC BY-SA 3.0 “Rock, paper, scissors” — everyone of us might have played this game in our childhood. Have you ever wondered the strategies we chose could in fact be modeled in a game theoretic concept? You might think that people randomly choose a strategy here, but in reality we are trying to predict what my opponent’s strategy will be and accordingly choose a move in order to win the game.
Credit card Fraud Detection with different sampling techniques
Credit card fraud detection is a plague that all financial institutions are at risk with. In general fraud detection is very challenging because fraudsters are coming up with new and innovative ways of detecting fraud in this digital world, so it is difficult to find a pattern that we can detect. For example, in the diagram below all the icons look the same, but there is one icon that is slightly different from the rest and we have to pick that one. Can you spot it?
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