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  • šŸ‘‹ Hi, Iā€™m Iremide
  • šŸ‘€ Iā€™m interested in Data Analysis, Data Science, Machine Learning
  • šŸŒ± Iā€™m currently learning Data Engineering
  • šŸ’žļø Iā€™m looking to collaborate by working remotely
  • šŸ“« How to reach me www.linkedin.com/in/oyelajairemide

Oyelaja Iremide's Projects

deepforest icon deepforest

Python Package for Airborne RGB machine learning

dsc-numpy icon dsc-numpy

This is an assignment given by Tutor Iremide

electricity-regression-task icon electricity-regression-task

I made use of three models namely, Random-Forest, Linear Regression and XGBBoost. Of the three, Random-Forest gave the least error.

handling-imbalanced-classand-cross-validation icon handling-imbalanced-classand-cross-validation

This code explains how to use SMOTE and other over sampling libraries to increase the minority class, RandomUnderSampler to manipulate the majority class. Cross Validation Technique was also treated here. The data used in this code is a synthetic random data from sklearn dataset.

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