cross-validation-grid-search

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hardikasnani / diamond-price-and-carat-prediction

I leveraged an algorithmic approach to predict the price and carat of the diamond using Machine Learning. Various regression models have been trained and their performance has been evaluated using the R Squared Score followed by tuning of the hyperparameters of top models. I have also carried out a trade-off based on the R Squared Score and the …

machine-learning ridge-regression multivariate-regression lasso-regression run-time random-forest-regression trade-off diamonds-price-prediction r-squared diamonds-dataset cross-validation-grid-search hyperparamter-tuning diamonds-carat-prediction

Updated Jul 8, 2022
Jupyter Notebook

dell-datascience / Applied-Machine-Learning-in-Python

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Coursera Applied Machine Learning in Python

clustering linear-regression scikit-learn naive-bayes-classifier scipy logistic-regression matplotlib confusion-matrix decision-trees ridge-regression support-vector-machines manifold-learning lasso-regression k-nearest-neighbors model-evaluation-metrics diamensionality-reduction cross-validation-grid-search classifier-decision-functions basic-evaluation-metrics data-leakages

Updated Dec 21, 2022
Jupyter Notebook

pdeubel / groceries-scanner

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Classify groceries using an image classification model deployed on a mobile app

tensorflow transfer-learning cross-validation-grid-search

Updated Dec 10, 2022
Python

josericodata / MScDataAnalyticsFirstSemesterAssignmentTwo

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Summary of Assignment Two from the first semester of the MSc in Data Analytics program. This repository contains the CA2 assignment guidelines from the college and my submission. To see all original commits and progress, please visit the original repository using the link below.