Hello, I'm Shubham
Machine Learning and Data Science Enthusiast
Pre-final year student at NITH, pursuing a bachelor's degree in Computer Science and Engineering from National Institute of Technology Hamirpur.
Contact meAbout Me
My Introduction
I'm Shubham Goyal, a pre-final year CSE student at NITH. I am a Machine Learning and Data Science Enthusiast and a Competitive Programmer. I love Problem Solving and learning new technologies and stuff. Besides academics, I have playing badminton and chess as my hobby. Feel free to contact me for feedback or some work.
Skills
My Technical LevelLanguages
Programming LanguagesC++
80%C
75%Python
70%SQL
80%Technologies
Technologies and SkillsMachine Learning
65%Deep Learning
55%Data Science
65%Computer Vision
60%Others
Coursework and Other SkillsHTML
90%CSS
80%Bootstrap
80%Git
70%Github
80%Data Structures and Algorithms
90%Object Oriented Programming
85%Data Base Management System
75%Operating Systems
75%Statistics
60%Qualifications
My Educational and Work JourneyClass X - CBSE
S.R.M. Public SchoolClass XII - CBSE
S.R.M. Public SchoolComputer Science and Engineering
NIT HamirpurCoordinator
Robotics Society NITHMachine Learning Engineering Intern
The Tann Mann FoundationPortfolio
My Projects and WorksMy Projects
Health Insurance Premium Prediction
Medical expense coverage is one of the benefits of health insurance.The cost of health insurance is influenced by numerous variables. The cost of a health insurance policy's premium varies from person to person since a variety of factors play a role in this decision. Here we have used Random Forest Regression Algorithm.
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Human Activity Recognition
Human activity recognition is the problem of classifying sequences of data recorded by specialized harnesses or smart phones into known well-defined Human activities.In this Machine Learning Project, we will create a model for recognition of human activity using the smartphone data. We have used KNN model for the classification.
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Parkinson Disease Prediction
The machine learning model can be implemented to significantly improve diagnosis method of Parkinson disease .In this study it indicates that the ensemble technique SVM (Support Vector Machine) algorithm achieved the high test accuracy rate compared to other classification algorithm .
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Big Mart Sales Prediction
The aim is to build a predictive model and predict the sales of each product at a particular outlet.Using this model, BigMart will try to understand the properties of products and outlets which play a key role in increasing sales. Here XGBoost regressor is used for prediction.
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Customer Segmentation
Customer Segmentation is the process of division of customer base into several groups of individuals that share a similarity in different ways that are relevant to marketing. Here customer segmentation is done using RFM model and K- means clustering.
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