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pramodyasahan/README.md

Hey there !

I am Pramodya

Machine Learning developer from Sri Lanka

  • A dedicated Engineering Undergraduate at Moratuwa University, with a strong passion for AI, ML, and Deep Learning.
  • A tech enthusiast who is self-taught in machine learning and deep learning skills, I am actively seeking opportunities to participate in machine learning projects or research.
  • Eager to demonstrate my ability to apply theoretical knowledge to practical, real-world problems, I am ready to contribute innovative solutions and insights in the field of AI.
  • My journey in technology is marked by a keen interest in continuous learning and development, positioning me as an aspiring professional ready to tackle complex challenges in the evolving world of machine learning.

Metrics

Pinned

  1. learn-ml learn-ml Public

    This repository serves as both a personal learning diary and a resource for others interested in understanding and applying machine learning concepts. The projects are categorized based on the type…

    Python

  2. lets-code lets-code Public

    Welcome to my coding universe! This repository is a curated collection of my projects, showcasing skills across various technologies and languages. It's a window into my programming journey, highli…

    Python

  3. salary-predictor salary-predictor Public

    This project is designed to predict the salary of individuals based on their years of experience. It employs a Linear Regression model using Python's scikit-learn library. The project is a classic …

    Python 1

  4. cifar-10-object-recognition cifar-10-object-recognition Public

    This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes,…

    Jupyter Notebook

  5. custom-image-classification-model custom-image-classification-model Public

    This repository hosts a TensorFlow-based custom image classification model. The model is designed to classify images into binary classes, labeled as 'Happy' and 'Sad'.

    Python

  6. spaceship-titanic spaceship-titanic Public

    This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine lear…

    Jupyter Notebook