Today we will talk about Logistic Regression in a very simple intuitive way to learn the internal mechanism of it.
I will divide this blog into a Series of Questions and Answers. And will try to stick to those question while we learn what Logistic Regression is.
Now before we go there, I will assume certain things, which should be the baseline to understand this section of the blog.
1. You have basic idea about what is a Binary Classification.
2. You know basic Geometry of Line, Plane and Hyper-Plane in 2D, 3D and n-D space respectively.
—A blog to understand the working and intuition of Word2Vec.
This is a continuation of my previous NLP related blogs, I have already covered the basics of NLP in my previous one.
If you haven’t gone through it, please find it here : NLP — Text Encoding: A Beginner’s Guide
Before we begin, please note down some points below.
— This blog will introduce you to the process after your ML models are built, how to interact with them via API, how to host them in your local machine and access them via APIs.
Imagine you have a model trained and you have a metric that shows your model’s performance is good enough that it can be used in the real world.
So now, how does one host their application for the real world so that one can interact with it?
This blog is not here to show you how to productionize because there’s a lot of steps involved…
— In this blog we will understand WHAT Text Encoding is? HOW to perform it? And rather WHY to perform it?
Let’s try to understand a few basic rules first…
1. Machine doesn’t understand characters, words or sentences.
2. Machines can only process numbers.
3. Text data must be encoded as numbers for input or output for any machine.
WHY to perform text encoding?
As mentioned in the above points we cannot pass raw text into machines as input until and unless we convert them into numbers, hence we need to perform text encoding.
WHAT is text encoding?
— Today we will look into another interesting domain of Deep Learning called Seq-to-Seq model, specifically Image-to-Sequence.
Ever wonder how does Google find you a perfect Image for the keywords you provide in Google Image Search?
Google stores what we call relevant caption in the form of keywords for the images as a repository and retrieves the best match, whenever you search for specific keywords.
Now, how does it generate captions for so many images in the whole Google repository? By Humans? By machines? By Software?
Well, as we all know Google has the most cutting edge AI application of…
— 5 widely used Evaluation Metrics for Regression Model in Machine Learning.
Today we are going to discuss about Performance Metrics, and this time it will be Regression metrics. As in my previous blog we have discussed about Classification Metrics, this time it’s Regression.
We are going to talk about 5 most widely used Regression metrics:
Let’s understand one thing first and that is the difference between Classification and Regression Metrics, why we need two different metrics to measure our models.
The first key difference is, Classification as the name suggest gives classes as output, which can be understood as…
— 5 widely used Evaluation Metrics for Classification Model in Machine Learning.
Today we are going to talk about 5 of the most widely used Evaluation Metrics of Classification Model, but before going into the details let’s answer a few points:
Being Humans we want to know the efficiency or the performance of any machine or software we come across, for example if we consider a car we want to know the Mileage, or if we there is a certain algorithm we want to know about the Time and Space Complexity, similarly there must be some or the other way…
Today we will talk about Linear Regression in a very simple intuitive way to learn the internal mechanism of it
To Better understand most of the concept of Linear Regression you must understand how Logistic Regression works. You can refer to my Blog of Logistic Regression.
First thing about Linear Regression is, that unlike Logistic Regression, it is actually a regression technique.
Henceforth, I will refer Linear Regression as LiR and Logistic Regression will be referred as LR.
As like LR, LiR also tries to find the best Hyper Plane which reduces the error by which we can estimate the…
— A scrapped dataset which can be used to estimate the price for used cars.
Problem Statement : Used cars are priced based on their Brand, Manufacturer, Transmission type and etc etc. This is process is done by a professional who understands the condition and the right pricing scheme of the used cars form his/hers previous experiences. Our goal is to make a Model which can give an estimate of the price that should be intended for the used cars, based on historical data. …
Coronavirus disease (COVID-19) is an infectious disease caused by a new virus. The disease causes respiratory illness (like the flu) with symptoms such as a cough, fever, and in more severe cases, difficulty breathing.
Most people infected with the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment. Older people, and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease, and cancer are more likely to develop serious illness.
What Happens to a person’s Lungs when they get Covid-19 virus ?
According to Doctors & Experts : “The lining of the…
Certified Applied Machine Learning Specialist | Senior Data Scientist | A.I. Researcher | Learning Enthusiast | Mumbai-kar |