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machine-learning-beginners

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A Streamlit ML app for flight price prediction. This one project involves concepts like EDA, Linear, Lasso & Ridge Regression, Kfold, Hyper Parameter Tuning & GridSearchCV. I am constantly building a rich repository of all the information I have on a particular topic as part of my machine learning practice. Very Helpful for ML beginners.

  • Updated Apr 9, 2024
  • Jupyter Notebook

This repository is designed for those interested in learning about machine learning through practical examples. Each example includes code, explanations, and insights into the story behind the problem being solved.

  • Updated Dec 23, 2024
  • Jupyter Notebook

This is a very Simple Machine Learning Example Implemented with Keras model. System simply classifies the data with it's sum, If the sum of integers given as data is greater than 10(i.e two digit) then it will classify as yes. Else it will classify as no.

  • Updated Apr 30, 2019
  • Jupyter Notebook

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