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Introduction:

First of all I would like to thank kaggle and OSIC for hosting this competition. I would also thank my teammates Jagadish and Shubham. In this competition we were asked to predict the patient’s severity of decline in lung function based on a CT scan of their lungs and output from a spirometer, which measures the volume of air inhaled and exhaled and also tabular data was given as the input to the competitors which consisted of the baseline FVC(Forced Vital Coefficient), Weeks, Age, Sex, Percent.The challenge was to use machine learning techniques to make a prediction with the image…


Making the classroom smart using deep learning and Internet of Things

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SMART CLASSROOM

Introduction :

As a student, we feel like leaving the classroom, frustrated due to boring lectures and we always wanted the lecturer to know about our feelings.In olden era it is quite not possible, but in this deep learning era we made it possible.Also it is very important to understand that the way lectures are delivered in college or school is very important in shaping the career of students.Hence we(me and my teammate Shantosh) came up with a solution that can let the lecturer not only know about the students emotion but also he knows the gestures through which he can make…


Introduction :

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Photo by Luke Chesser on Unsplash

Exploratory Data Analysis is one of the best practices used in data science today.Basically it is essentially a type of storytelling for statisticians.We can say EDA as “A first look at the data”. Exploratory Data Analysis or (EDA) is understanding the data sets by summarizing their main characteristics often plotting them visually.The main goal of exploratory data analysis is to obtain confidence in your data to a point where you’re ready to engage a machine learning algorithm.This step is very important especially when we arrive at modelling the data in order to apply Machine Learning.Exploratory Data Analysis is nothing but…

Convophile

Student at NITT, Deep Learning Enthusiast.

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