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Used 5 different supervised machine learning algorithms and trained them with real data of people with and without liver disease. Then evaluated the results of each of them using different parameters to choose the best one.

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decision-trees knearest-neighbor-classifier logistic-regression machine-learning-algorithms matplotlib-pyplot random-forest-classifier seaborn-plots support-vector-machines

liver-disease-prediction-using-ml_algorithms's Introduction

Hi there

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I am Kshitij Shrivastava. Coding is my hobby and I have ventured into the world of Artificial Intelligence - Machine learning, deep learning and data science and built portfolio projects using Python for cleaning and analysing datasets, training models and making predictions through them. I am a passionate learner and want to gain knowledge of Artificial intelligence and apply it to solve real life problems. I have recently started learning web development.

  • ๐Ÿ”ญ Iโ€™m currently working on projects related to OpenCV and NLP
  • ๐ŸŒฑ Iโ€™m currently learning Web Development
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on AI projects
  • ๐Ÿค” Iโ€™m looking for help with Machine Learning, Web Development
  • ๐Ÿ’ฌ Ask me about tensorflow, keras, neural networks, natural language processing
  • ๐Ÿ“ซ How to reach me: Contact me on my mail ([email protected]), LinkedIn (https://www.linkedin.com/in/kshitij-shrivastava-a5aaa4118/)
  • ๐Ÿ˜„ Pronouns:He/him

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