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srishilesh / Machine-learning

python machine-learning linear-regression machine-learning-algorithms coursera python3 artificial-intelligence octave flask-api gnu-octave datapreprocessing accuracy-metrics

Updated Dec 24, 2020
Jupyter Notebook

lex-hue / Stock-Predictor-V4

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A reinforcement learning model specialized in stock prediction utilizing deep learning techniques, incorporating reward mechanisms, compatible with any machine equipped with Python.

python machine-learning ai deep-learning time-series prediction stock lstm stock-market stock-price-prediction stocks data-preprocessing lstm-neural-networks stock-prediction stock-analysis reward-functions accuracy-metrics accurate-algorithm

Updated May 18, 2024
Python

eXascaleInfolab / GenConvNMI

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Generalized Conventional Mutual Information (GenConvMI) - NMI for overlapping (soft, fuzzy) clusters (communities), compatible with standard NMI, pure C++ version (single executable)

clustering-evaluation benchmark-measures nmi quality-measures covers-evaluation overlapping-community-evaluation accuracy-metrics

Updated Oct 20, 2020
C++

Extremely fast evaluation of the extrinsic clustering measures: various (mean) F1 measures and Omega Index (Fuzzy Adjusted Rand Index) for the multi-resolution clustering with overlaps/covers, standard NMI, clusters labeling

ari clustering-evaluation benchmark-measures nmi f1-score quality-measures omega-index covers-evaluation extrinsic-quality-measures f-measure fuzzy-adjusted-rand-index overlapping-community-evaluation accuracy-metrics

Updated Jun 15, 2021
C++

business-science / modeltime.resample

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Resampling Tools for Time Series Forecasting with Modeltime

bootstrap statistics time-series cross-validation forecasting resampling r-package bootstrapping backtesting accuracy-metrics tidymodels modeltime modeltime-resample

Updated Jan 4, 2024
R

squaredev-io / whitebox

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[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

Updated Jul 11, 2023
Python

LailaMahmoudi / Breast-Cancer-Predictions-With-SVM

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Implementation of SVM Classifier To Perform Classification on the dataset of Breast Cancer Wisconin; to predict if the tumor is cancer or not.

random-forest eda kaggle kaggle-competition xgboost recall logistic-regression decision-trees knn precision breast-cancer-wisconsin svm-classifier gradient-boosting correlation-matrix accuracy-metrics

Updated Dec 27, 2020
Jupyter Notebook

ymeghana / Early-Detection-Of-Sepsis

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To Detect Early Sepsis Disease

neural-network logloss clinical-data mlp-classifier resampling-methods accuracy-metrics

Updated Jan 11, 2024
Jupyter Notebook

ShehanSanjula / Spam-Email-Filtering-System-Public

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End-to-end implementation of Spam Detection in Email using Machine Learning, Python, Flask, Gunicorn, Scikit-Learn, and Logistic Regression on the Heroku cloud application platform.

python heroku machine-learning flash numpy linear-regression scikit-learn jupyter-notebook gunicorn pandas dataset email-validation spam-filtering spam-detection precision content-filtering accuracy-metrics spam-filtering-system

Updated Jan 15, 2023
HTML

hollobit / ML_evaluation_metrics

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Landscape of ML/DL performance evaluation metrics

deep-neural-networks deep-learning metrics detection evaluation ml prediction classification segmentation performance-analysis confusion-matrix super-resolution evaluation-metrics accuracy-metrics deep-generative-model auc-roc-curve statistical-metrics computer-vision-metrics regression-metrics

Updated Apr 23, 2024

rochitasundar / Customer-profiling-using-ML-EasyVisa

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The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidate…

decision-tree-classifier gradient-boosting-classifier f1-score random-forest-classifier grid-search-hyperparameters precision-recall accuracy-metrics xgboost-classifier stacking-ensemble adaboostclassifier bagging-ensemble grid-search-cross-validation

Updated Jan 20, 2022
Jupyter Notebook

gopiashokan / Diabetes-Prediction-using-Machine-Learning

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Experience predictive healthcare with our Streamlit app. Utilizing Random Forest, our tool analyzes medical data to assess diabetes risk swiftly. Ideal for healthcare professionals and researchers, this user-friendly app simplifies risk evaluation. Join us in the fight against diabetes.