Machine LearningPython
Introduction to Machine Learning
A beginner's guide to understanding the fundamentals of machine learning.
Nirajan Dhakal
ML · Quantum · Cosmos
Personal portfolio of Nirajan Dhakal — Machine Learning enthusiast, Quantum Computing explorer, and Citizen Astronomer based in Kathmandu, Nepal.
ABOUT
Who I Am
A brief introduction to my journey in technology and science.
I'm Nirajan Dhakal, a Computer Science student from Kathmandu, Nepal with a deep passion for machine learning, quantum computing, and astronomy. I believe in the power of technology to unlock the mysteries of our universe — from the quantum realm to the cosmos.
When I'm not coding, you'll find me stargazing with my telescope, exploring new ML research papers, or teaching programming to the next generation of developers.
2023 — Present
B.Sc. CSIT, Tribhuvan University
Pursuing Bachelor's in Computer Science and Information Technology.
2023
Python Workshop Instructor
Taught Python programming fundamentals to students.
2023
ML Bootcamp Instructor
Led machine learning bootcamp sessions covering fundamentals and practical applications.
SKILLS
What I Work With
Technologies and domains I'm proficient in.
Languages
PythonJavaScriptTypeScriptC/C++SQLHTML/CSS
Frameworks
PyTorchTensorFlowScikit-learnAstroReactNode.js
Tools
GitDockerLinuxJupyterVS CodeLaTeX
Domains
Machine LearningQuantum ComputingComputer VisionData ScienceAstronomyNLP
PROJECTS
What I've Built
Selected projects showcasing my work in ML, quantum computing, and web development.
StarGazer
An AI-powered astronomy companion that identifies constellations and celestial objects from star charts and sky observations using deep learning.
PythonDeep LearningComputer Vision
Quantum Circuit Simulator
A web-based quantum computing simulator for visualizing and testing quantum circuits with real-time state vector computation.
JavaScriptQuantum ComputingWeb
Neural Style Transfer
Real-time neural style transfer application that applies artistic styles to images and video streams using convolutional neural networks.
PythonPyTorchComputer Vision
ML Workshop Materials
Comprehensive workshop materials for teaching machine learning fundamentals, including notebooks, datasets, and presentations.
PythonJupyterEducation
Astronomical Data Visualization
Interactive visualization tools for exploring astronomical datasets including exoplanet catalogs and stellar classifications.
PythonData ScienceVisualization
PUBLICATIONS
Research & Writing
Academic publications and research contributions.
Machine Learning Approaches for Stellar Classification
Nirajan Dhakal
Nepal Science Conference, 2024
Exploring supervised learning techniques for automated classification of stellar objects using photometric data.
Machine LearningAstronomy