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Neeraj
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Neeraj posted a blog post

Breast Cancer Classification & Prediction using Neural Networks

IntroductionHow often are you in a situation where you have 2 alternatives either yes or a no, black or a white, and so on. These are instances where you ‘classify’ your scenario into only two solutions, a number of solutions may vary but usually, they are two solutions. This is what we call as ‘Classification’ we classify the outcomes in a set number of instances usually two. This week at The Datum we have how can we use Neural Networks as the classification model. And once we have the model…See More
Thursday
Neeraj's 2 blog posts were featured
Jun 20
Neeraj's blog post was featured

Machine Learning : Unsupervised – Hierarchical Clustering and Bootstrapping

1. What is Machine LearningHumans have evolved over the years and have come to be what we say the smartest existing species on the planet Earth. Going back to ancient days, what do you think was the basis of the human evolution of what we are today? ‘Learning’ was the key for this advancement from the very first man to the most mindful species on the planet Earth. For example, consider how an intellect thought of rubbing two stones against each other can lit up the fire. This one source of…See More
Jun 15

Profile Information

Short Bio
I write blogs for Data Science and Machine Learning. The blog space is known as 'THE Datum'
My Web Site Or LinkedIn Profile
http://https://linkedin.com/in/neeraj-jangid-8b0b5116a/
Field of Expertise
Data Science, Machine Learning, Business Analytics
Professional Status
Student
Years of Experience:
1
Your Company:
The Datum
Industry:
Data Science
Your Job Title:
Student, TA, Blogger
How did you find out about DataScienceCentral?
Google
Interests:
Contributing, Networking

Neeraj's Blog

Breast Cancer Classification & Prediction using Neural Networks

Posted on July 15, 2019 at 9:00am 0 Comments

Introduction

How often are you in a situation where you have 2 alternatives either yes or a no, black or a white, and so on. These are instances where you ‘classify’ your scenario into only two solutions, a number of solutions may vary but usually, they are two solutions. This is what we call as ‘Classification’ we classify the outcomes in a set number of instances usually two. This week at The Datum we have how can we use Neural Networks as the…

Continue

Machine Learning: Association Rule Mining

Posted on June 13, 2019 at 8:30am 0 Comments

Users who bought this… Also bought this…‘, I consider this as the statement of this generation. There is not a single shopping application not showcasing this feature to gain more from the buyers. This rule is another by-product of Machine Learning. We humans always look for more similar things which we like for example if a reader starts to like a book of the specific genre say ‘biography’ he/she is leaned towards having more such similar books. And this is what we call…

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Machine Learning : Unsupervised – k-means Clustering and Bootstrapping

Posted on June 13, 2019 at 8:30am 0 Comments

This article is in continuation to our previous topic ‘Unsupervised Machine Learning’. Today I’m giving you another powerful tool on this topic named ‘k means Clustering‘. The work in this article is on the continuation of the previous WHO data set featured in ‘Machine Learning: Unsupervised – Hierarchical Clustering and Bootstrapping’. This artifact demonstrates implementing k means clustering and bootstrapping to make sure that the algorithm and clusters formed stand true.…

Continue

Machine Learning : Unsupervised – Hierarchical Clustering and Bootstrapping

Posted on June 13, 2019 at 8:30am 0 Comments

1. What is Machine Learning

Humans have evolved over the years and have come to be what we say the smartest existing species on the planet Earth. Going back to ancient days, what do you think was the basis of the human evolution of what we are today? ‘Learning’ was the key for this advancement from the very first man to the most mindful species on the planet Earth. For example, consider how an intellect thought of rubbing two stones against each other…

Continue

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