Projects in Awesome Lists tagged with model-tuning

https://github.com/sjevelazco/flexsdm

Useful tools for constructing species distribution models

ecological-niche-modelling ensemble-modelling model-fit-for-purpose model-tuning spatial-ecology spatially-structured-validation species-distribution-modelling

Last synced: 07 May 2025

https://github.com/packtworkshops/the-deep-learning-with-keras-workshop

An Interactive Approach to Understanding Deep Learning with Keras

artificial-neural-networks classification cross-validation decision-trees hyperparameter-tuning k-means-clustering keras linear-transformation logistic-regression machine-learning magnetic-resonance-imaging model-evaluation model-tuning regression regularization scalars scikit-learn support-vector-machine tensorflow vectors

Last synced: 15 Apr 2025

https://github.com/lastancientone/data-science

Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.

algorithms data-analysis data-science data-visualization datascience deep-learning dimensionality-reduction excel exploratory-data-analysis exploratory-data-visualizations feature-engineering inferential-statistics kaggle kaggle-competiton machine-learning model-tuning powerbi prediction python3 r

Last synced: 09 Apr 2025

https://github.com/medoidai/skrobot

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

artificial-intelligence data-science feature-engineering feature-selection hyperparameter-tuning machine-learning model-evaluation model-selection model-training model-tuning modelling predictive-modelling python scikit-learn

Last synced: 17 Mar 2025

https://github.com/dynamicanupam/hand_gesture_recognition_using_cnn-rnn

Build deep learning model for detecting hand gestures for Smart TVs using CNN and RNN

3d-convs cnn-rnn generator-functions model-building-and-training model-evaluation model-tuning

Last synced: 01 Mar 2025

https://github.com/juzershakir/finding-donors-charityml

Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.

adaboost charity charityml donations finding-donors gradient-boosting-classifier gridsearchcv letters machine-learning-engineering machine-learning-nanodegree machine-learning-tutorials model-tuning pandas python scikitlearn-machine-learning sgd-classifier supervised-learning supervised-learning-algorithms udacity

Last synced: 07 Feb 2025

https://github.com/shibasishb2/feature-engineering-model-tuning

The project was accomplished by employing supervised learning, ensemble modeling, and unsupervised learning techniques to build and train a prediction model to identify Pass/Fail yield of a particular process entity for a semiconductor manufacturing company.

feature-engineering grid-search model-tuning pca python supervised-learning