classfication of cloud image pixels
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Updated
Dec 7, 2022 - R
classfication of cloud image pixels
Problem Moving from traditional energy plans powered by fossils fuels to unlimited renewable energy subscriptions allows for instant access to clean energy without heavy investment in infrastructure like solar panels, for example. One clean energy source that has been gaining popularity around the world is wind turbines. Turbines are massive str…
Datascience hands on code
Predicted the breast cancer in patient using Ensemble Techniques and evaluated the model
Use of Weights & Biases to systematically tune and evaluate the hyperparameters of a Gradient Boosting Classifier. The dataset we are working with is the Wine dataset.
Comparing different tree-based algorithms to find the best model for cancelation prediction
KeepCoding Bootcamp Big Data & Machine Learning - Práctica Machine Learning 101
In this project we are tryinbg to create unredactor. Unredactor will take a redacted document and the redacted flag as input, inreturn it will give the most likely candidates to fill in redacted location. In this project we are only considered about unredacting names only. The data that we are considering is imdb data set with many review files.…
Job Change of Data Scientists Prediction
In this repository, I will share the materials related to machine learning algorithms, as I enrich my knowledge in this field.
Implemented support vector machines, boosting, and decision trees for classification problems. Used cross-validation for improving model accuracy. Plotted different types of learning curves like error rates vs train data size, error rates vs clock time. Compared performance using learning curves and confusion matrices across algorithms.
This project focuses on predicting the IPL scores using Machine learning models with the use of Python using Scikit Learn Library. The model predicts the score after a minimum of 5 overs. The score on Testing data was 94.17%.
Built Random Forest and GBDT using XGBOOST model on Amazon fine food review dataset
LASSO and Boosting for Regression on Communities and Crime data
Microsoft Bingのランキングの重みを自然言語的に解釈、表現します
Applying machine learning models to detect tuberculosis during screening process.
Building classification models to predict if a loan application is approved. Using under-sampling, bagging and boosting to tackle the problem of with unbalanced dataset
Scripts, figures and working notes for the participation in SnakeCLEF-2022, part of the 13th CLEF Conference, 2022
Scripts, figures and working notes for the participation in FungiCLEF-2022, part of the 13th CLEF Conference, 2022
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