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Hello World. I'm Kevil Khadka



  • 🌱 I’m currently working as a Quality Analyst at ITSutra Inc.
  • 👯 I’m looking to collaborate on projects written in Python, Java, R, etc.
  • 📫 How to reach me: LinkedIn
  • 😄 Pronounce: k-vil

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Databases/Data Formats

Cloud Computing

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Popular Repo

Airbnb Price Prediction GeoSpatial machine-learning-roadmap

Kevil Khadka's Projects

amazon-sagemaker icon amazon-sagemaker

AWS is a powerful tool for learning and implementing machine learning algorithms.

datasciencecoursera icon datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

ibm-data-science icon ibm-data-science

This repo consists of all courses of IBM - Data Science Professional Certificate, providing with techniques covering a wide array of data science topics including open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.

knn icon knn

Mini Projects in R using k-Nearest Neighbours

machine-learning-roadmap icon machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

ml-anomaly_detection_and_recommender_systems-matlab icon ml-anomaly_detection_and_recommender_systems-matlab

Implement the anomaly detection algorithm which is widely used in fraud detection (e.g. ‘has this credit card been stolen?’) and apply it to detect failing servers on a network. And use collaborative filtering to build a recommender system for movies, which are used by companies like Amazon, Netflix, and Apple to recommend products to their users. Recommender systems look at patterns of activities between different users and different products to produce these recommendations.

ml-k-means_clustering_and_pca-matlab icon ml-k-means_clustering_and_pca-matlab

This repo leads us to implement the K-means clustering algorithm and apply it to compress an image. And use principal component analysis to find a low-dimensional representation of face images.

ml-multiclass_classification_and_neural_network-matlab icon ml-multiclass_classification_and_neural_network-matlab

Neural networks is a model inspired by how the brain works. It is widely used today in many applications: when your phone interprets and understand your voice commands, it is likely that a neural network is helping to understand your speech; when you cash a check, the machines that automatically read the digits also use neural networks.

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