The data of countrywide traffic accidents from February 2016 to March 2019 is analyzed.

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INTRODUCTION


Classifying whether an asteroid is hazardous or not.

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INTRODUCTION

What all is out there in space is still a mystery. Scientists keep on trying to search for something new in outer space. While a lot is expected to be discovered, let us look at what has been found.

ASTEROIDS
Yes!! An accidental discovery made in 1801 by the Italian priest and astronomer Giuseppe Piazzi, led to what we call an asteroid today. Giuseppe found the first asteroid named Ceres orbiting between Mars and Jupiter. Since then, many asteroids have been discovered and studied by space organizations like NASA.

Asteroids are minor planets, especially of the inner Solar System. Larger…


Various metrics to evaluate the classification model

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If you have been in machine learning for quite some time then you must be developing models to attain high accuracy, as accuracy is the prime metric to compare models, but what if I tell you that model evaluation does not always consider accuracy only.

When we have to evaluate a model we do consider accuracy but what we majorly focus on is how much robust our model is, how will it perform on a different dataset and how much flexibility it has to offer.

Accuracy, no doubt, is an important metric to consider but it does not always give…


Cleveland Heart Disease(UCI Repository) dataset — classification with various models.

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Introduction

Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmias) and heart defects you’re born with (congenital heart defects), among others.

The term “heart disease” is often used interchangeably with the term “cardiovascular disease”. Cardiovascular disease generally refers to conditions that involve narrowed or blocked blood vessels that can lead to a heart attack, chest pain (angina) or stroke. Other heart conditions, such as those that affect your heart’s muscle, valves or rhythm, also are considered forms of heart disease.


What and where to eat in Bangalore — a data scientist’s guide

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Introduction

Bangalore(officially known as Bengaluru) is the capital and largest city of the Indian state of Karnataka.
With a population of over 15 million, Bangalore is the third-largest city in India and 27th largest city in the world.
Bangalore is one of the most ethnically diverse cities in the country, with over 51% of the city’s population being migrants from other parts of India.
Bangalore is sometimes referred to as the “Silicon Valley of India”(or “IT capital of India”) because of its role as the nation’s leading information technology(IT) exporter.

Bangalore has a unique food culture. Restaurants from all over the…


Object Detection, Faster RCNN, data augmentation, airplanes, satellite imagery and much more…

Introduction

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos.

Object detection is one of those fields that have witnessed great success.
It is used in many areas like face detection(used by Facebook to recognize people), tumor detection(used in medical fields), etc.

Ever since the inception of deep learning in computer vision, tasks like object detection have become comparatively easier and efficient.
The deep learning models provide better accuracy, less time consumption, less complexity, overall…


A report by the Health Effects Institute on air pollution in India (2018) reports that air pollution was responsible for 1.1 million deaths in India in 2015.

AIR POLLUTION refers to the release of pollutants into the air that is detrimental to human health and the planet as a whole.

Today air pollution has been one of the significant problems to deal with for any nation. In South Asia, it is ranked as the sixth most dangerous killer.
One does not realize the harmful effects of a problem if he/she has not experienced it in the first place.
Take Delhi, for instance, we all have experienced what it feels like inhaling in the ‘deadly’ smog that remained for about a week, after Diwali. Citizens were advised not to leave…


Bringing Data Science, Machine Learning and Business together for-profit enhancement of malls or shopping complexes

The use of machine learning can be seen almost everywhere around us, be it Facebook recognizing you or your friends, or YouTube recommending you a video or two based on your history — Machine Learning is everywhere!
However, the ‘magic’ of machine learning is not just limited to only these areas.
Machine Learning is broadly categorized as Supervised and Unsupervised Learning.
Supervised Learning is one in which we teach the machine by providing both independent and dependent variables, for example, Classifying or predicting values.
Unsupervised Learning mainly deals with identifying the structure or pattern of the data. In this type of algorithms…


Basic Concepts involved in Multivariate Analysis

Data Analysis, Data Science, Machine Learning. I am pretty confident that nowadays everyone has come across these terms and many are working in one of these fields.

But what exactly is this craze of data ‘dealing’?

It all started not too long ago when scientists observed data to be growing at an extraordinary pace(exponentially). Data has increased so much over the past few decades that it became a very difficult task for the scientists to ‘handle’ the data by themselves. Hence things like Machine Learning, Data Science, Artificial Intelligence were born.

Shubhankar Rawat

I am a data science and machine learning enthusiast, who loves to share knowledge.

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