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Working on my webapp with all the repo's
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Working on my webapp with all the repo's

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  1. Mineral-Classification-Using-Transfer-Learning-with-FastAI Mineral-Classification-Using-Transfer-Learning-with-FastAI Public

    With the Help of Transfer Learning with Resnet50, the model for Classifying 3 different Classes of minerals (Olivine, Actinolite, Epidote ) with an Accuracy of 84%.

    Jupyter Notebook 1

  2. Prediction-of-Annual-Income Prediction-of-Annual-Income Public

    This Model will predict the annual income of a person depending upon how many years of work experience of he/she has

    Jupyter Notebook

  3. Malaria_Cell_Image_Classification_With_FastAI Malaria_Cell_Image_Classification_With_FastAI Public

    A binary image classification on Kaggle Malaria Cell Images Dataset with FastAI library with an accuracy of approx 97%

    Jupyter Notebook

  4. Titanic-Machine-Learning-from-Disaster Titanic-Machine-Learning-from-Disaster Public

    Forked from RoyMachineLearning/Titanic-Machine-Learning-from-Disaster

    Titanic: Machine Learning from Disaster Dataset from Kaggle

    Jupyter Notebook

  5. IME692_Project_IITK IME692_Project_IITK Public

    This repo consists of the projects done as a course homework

    Jupyter Notebook

  6. Kaggle-Titanic-Machine-Learning Kaggle-Titanic-Machine-Learning Public

    Codes and Submissions of the Kaggle Competition -> Titanic: Machine Learning From Disaster

    Jupyter Notebook