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model-evaluation

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maykulkarni / Machine-Learning-Notebooks

Star 551

Machine Learning notebooks for refreshing concepts.

python machine-learning natural-language-processing reinforcement-learning deep-learning machine-learning-algorithms neural-networks deep-learning-algorithms dimensionality-reduction python-machine-learning data-processing regression-models deep-learning-tutorial data-science-notebook model-evaluation classification-trees clustering-methods machine-learning-tutorials
  • Updated Aug 24, 2021
  • Jupyter Notebook

Pradnya1208 / Telecom-Customer-Churn-prediction

Star 108

Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.

python machine-learning numpy sklearn plotly cross-validation pandas classification feature-engineering model-evaluation classification-algorithm roc-auc gridsearchcv customer-churn-prediction customer-churn-analysis
  • Updated Dec 29, 2021
  • Jupyter Notebook

Poyu123 / CNN-application-on-CRFAR10-picture-distinguish

Star 88

A hands-on TensorFlow image recognition project teaching a computer to identify 10 everyday objects, originally for a linear algebra class, with tools to train a CNN, auto-tune settings, and test accuracy on random internet images.

deep-learning neural-networks image-classification predictive-analysis data-preprocessing model-evaluation cnn-training tensorflow-keras cifar-10-dataset automated-tuning
  • Updated Mar 20, 2026
  • Python

IliaZenkov / sklearn-audio-classification

Star 79

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

audio machine-learning deep-neural-networks scikit-learn sklearn emotion classification audio-data feature-engineering deep-learning-tutorial model-evaluation emotion-detection emotion-recognition machine-learning-tutorials mlp-model ravdess-dataset dnns
  • Updated Nov 5, 2020
  • Jupyter Notebook

PacktWorkshops / The-Deep-Learning-with-Keras-Workshop

Star 51

An Interactive Approach to Understanding Deep Learning with Keras

machine-learning tensorflow scikit-learn keras cross-validation regression classification artificial-neural-networks logistic-regression regularization support-vector-machine vectors decision-trees hyperparameter-tuning model-evaluation magnetic-resonance-imaging k-means-clustering model-tuning scalars linear-transformation
  • Updated Mar 2, 2026
  • Jupyter Notebook

TrentPierce / PolyCouncil

Sponsor
Star 34

PolyCouncil is an open-source multi-model deliberation engine for LM Studio. It runs multiple LLMs in parallel, gathers their answers, scores each response using a shared rubric, and produces a final, consensus-driven result. Designed for testing, comparing, and orchestrating local models with ease.

python open-source ai artificial-intelligence asyncio research-tool multi-model ai-framework model-evaluation model-comparison voting-system ai-research ai-experiments concensus llm prompt-engineering local-llm lmstudio polycouncil ai-council
  • Updated Mar 24, 2026
  • Python

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