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Showing posts from June, 2021

Mesothelioma Disease Detector

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I recently found another disease detection dataset on the UC Irvine Machine Learning Repository and decided to have a go at this one. However this dataset is not used that often for disease detection as I have never heard of it before and never even came across it before discovering it while reading a research paper. I'd like to shed some light on this dataset and present the Mesothelioma Disease Detector Web App. This web app detects if you have Mesothelioma or not depending upon various parameters such as  Platelet Count,  Blood Lactic Dehydrogenise,  Alkaline Phosphatise,  Total Protein,  Albumin,  Glucose,  Pleural Lactic Dehydrogenise,  Pleural Protein,  Pleural Albumin,  Pleural Glucose and  C-reactive Protein. I'll explain more about these parameters later on in the article. This web app works on the Random Forest Classifier algorithm and is majorly coded in python.  Mesothelioma is a type of cancer t hat occurs in the t...
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Hepatic Disease Detector

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 My fascination for machine learning apparently never seems to fade away and here I am with another app related to disease detection in machine learning. I created this and the last web app together after discovering both those datasets and successfully deployed both of them. This app is a hepatic disease detector and detects if you have a liver disease using machine learning.  This web app predicts if you have Hepatitis, Fibrosis, Cirrhosis or no hepatic disease based upon a number of parameters such as age, Albumin,  Alkaline Phosphate,  Alanine Aminotransferase,  Aspartate Aminotransferase,  Bilirubin,  Serum Cholinesterase,  Cholestrol,  Creatinine,  Gamma-Glutamyl Transferase and  Prothrombin. I will explain the meaning of these terms as you read through the article. This web app works on the random forest classifier algorithm and is coded majorly in python.  We have deployed the app using Streamlit. It is an open source f...
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Breast Cancer Detection Web App

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  Among the many applications of machine learning, one is of particular interest to me. The use of disease detection in machine learning has the potential to help a large number of people in the world and the advent of machine learning and computer vision in the past few years have definitely transformed the fields of medicine, finance, biotechnology and more. The use of disease detection methods using machine learning and computer vision has a number of applications in the medical sector and its use is only expected to grow exponentially as we develop better methods and models.  he value of machine learning in healthcare is its ability to process huge datasets beyond the scope of human capability, and then reliably convert analysis of that data into clinical insights that aid physicians in planning and providing care, ultimately leading to better outcomes, lower costs of care, and increased patient satisfaction.   Many leading tech companies and universities have been do...
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Exploratory Data Analysis using Pandas Profiling

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 In this article and web app, we are going to talk about data science in its true meaning- the analysis of big data, its visualization and representation and schematic analysis of that collected data. One of my first projects in Data Science was related to data analysis and specifically, exploratory data analysis using different libraries. I'm going to tell you about one such exploratory data analysis using the Pandas Profiling Report. If you've taken any courses on statistics (and by that I mean certain advanced courses that touch upon topics like probability distribution, Gaussian functions and normal distributions) you would have come across data analysis at some point or he other. Exploratory data analysis  is an approach of  analyzing   data  sets  to summarize their main characteristics, often using  statistical graphics  and other  data visualization  methods. It was first proposed by an American mathematician John Tukey (who was ...
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Tennis GOAT Debate

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Who is the greatest of all time ? It’s a question that gets posed in every sport from soccer to tennis. Because believe it or not, the only thing fans and the media are interested in, is debates and lists. Tennis is no exception; the world’s best have been competing in the Open Era since 1968. Hence, the list of potential candidates for the GOAT( Greatest of All Time) has only gotten longer. I’ll be talking about the men’s side of the debate in this article cause the women’s side deserves a separate article on it too! When the first decade of the 21 st century loomed, no one could have foreseen that three players would dominate men’s tennis for more than two decades ! For most tennis fans, the GOAT debate revolves around three players which are Roger Federer, Rafael Nadal and Novak Djokovic. But have they really done enough to place themselves in a league of their own, head and shoulders above legends such as Rod Laver, Arthur Ashe, Pete Sampras, Andre Agassi, Bjorn Borg, Jimmy Connor...
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PWA (Powerful WebApp) deployment for Skillocity

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As a team which believes in providing our users with the most powerful and easy to use tools, we are announcing a feature which would enable easy access of our blog directly from the home screen of your phone!  You're probably thinking we are launching an app, right? Well we also believe in surprising our audience, and so it is not exactly an app. An app would require extra memory space on your device and would not work on laptops/desktops but only phones/tablets.  Instead, you can now add a shortcut to our blog which runs through chrome, on your device. Usually, if you add a shortcut for a website, it would just add a shortcut to a single webpage you added a shortcut to. But in our case, after extensive coding, we have enabled our user the ability to add a shortcut to the entire website to make it easier to access, without the need of opening Chrome. This makes it feel just like an app! With this feature, you could just have an app like experience for our blog on your laptop ...
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Vectors: A Physicist's perspective

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    PDF file of this document available for download !             Mathematical interpretation of everyday reality of all linear algebra boils down to matrices and all of matrices boils down to vectors – Anonymous V ectors, what really are they? To answer this question, there are three main ways of looking at it. One is the physics perspective; one is the Computer Science perspective and one is the Mathematical perspective. As always, we’re going to explore this topic both on an intuitive and mathematical level. Let’s tackle the Physics perspective in this article which is arguably the most trivial and easy to understand. More complex vector equations and operations will however not be included in this article (although I personally love linear algebra and higher applications of vector fields and tensor mechanics). A vector is a physical quantity that has both magnitude and direction. Some examples of vectors are displacement, velocity, force, el...
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