rmse
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Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
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Sep 3, 2024 - Python
🔮Trying to find the best movie to watch on Netflix can be a daunting. Case Study for Recommendation System of movies in Netflix.🔧
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Jul 23, 2020 - Jupyter Notebook
missCompare R package - intuitive missing data imputation framework
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Dec 2, 2020 - R
Compare the quality between two images using RMSE, SSIM, and PSNR. (part of I3D 2018 Montage4D.com)
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May 9, 2018 - C++
Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)
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Apr 21, 2018 - C++
Prediction of Soybean stock prices using LSTM with data from CBOT Soybean Futures + (2015 USA Weather Avg, Max, Min by USDA-NASS-soybeans-production_bushels-2015)
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Dec 12, 2020 - Jupyter Notebook
🎥 Simple Python implementation of Funk SVD for MovieLens movie collaborative recommendations.
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Mar 21, 2021 - Python
Posts/Feeds recommendation engine based on content based and collaborative filtering methods
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Jun 22, 2020 - Jupyter Notebook
Python package to simplify plotting of common evaluation metrics for regression models. Metrics included are pearson correlation coefficient (r), coefficient of determination (r-squared), mean squared error (mse), root mean squared error(rmse), root mean squared relative error (rmsre), mean absolute error (mae), mean absolute percentage error (m…
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Nov 16, 2021 - Jupyter Notebook
An R package to apply affine and similarity transformations on vector layers (sp objects)
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Aug 22, 2023 - R
Building a model which can predict the number of online 'shares' an article will get based on a set of variables attached to it. (Python)
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Feb 10, 2018 - Jupyter Notebook
A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.
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Apr 4, 2020 - Python
Develop a deep learning model capable of predicting traffic flow in urban environments. The model will utilize historical traffic data, weather conditions, and road configurations to forecast traffic patterns. This information can be invaluable for traffic management systems, helping to optimize traffic signals and reduce congestion, ultimately.
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Oct 1, 2024 - Python
Leave-one-out Cross-validation for regression models
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Apr 5, 2023 - R
A recommendation system for Restaurants!
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Apr 11, 2017 - Python
Sensor Fusion: Unscented Kalman Filter, LiDAR&RADAR
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Apr 17, 2017 - C++
In this repository, I have worked out in one of the Kaggle Competition Data, "Predict Future Sales". I have used XGBoostRegressor. I have also used Fastai API for Feature Preprocessing to enhance the Model accuracy. You can get insights about Fastai Implementation as well.
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Aug 23, 2020 - Jupyter Notebook
A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings and RMSE to calculate the ideal k for our dataset.
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Dec 22, 2019 - Java
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