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francescopatane96 /Computer_aided_drug_discovery_kit

Star23

This pipeline provides a way to perform pharmaceutical compounds virtual screening using similarity-based analysis, ligand-based and structure-based techniques. The pipeline contains a collections of modules to perform a variety of analysis.

machine-learning fingerprints drug-discovery drug-repurposing chemoinformatics padel descriptors cancer-research biotechnology chemical-descriptors randomforestclassifier computational-drug-discovery pharmacoinformatics padel-descriptors

UpdatedAug 14, 2023
Jupyter Notebook

prateekagrawaliiit /100-Days-of-ML

Star16

The following repository contains source code for a 100 Day personal machine learning coding challenge. It contains projects that I do as a part of my learning

prediction dataset titanic-dataset optuna randomforestclassifier

UpdatedFeb 6, 2021
Jupyter Notebook

MattiaRaffa /RF-VDA-landslide-map

Star13

Modello Random Forest per la creazione di una mappa di suscettibilità da frane superficiali // // Tesi di Laurea Magistrale in Scienze della Terra (Geologia Applicata) - Università degli Studi di Milano

python tree random-forest mapping random scikit-learn forest aspect gis geology scikitlearn-machine-learning landslide geologia geologic-mapping landslide-susceptibility-mapping susceptibility randomforestclassifier applied-geology oob-error geologia-applicata

UpdatedApr 27, 2021
Python

emirhanai /Machine-Learning-Software-that-predicts-planets-based-on-their-distance-from-the-sun-number-of-sate

Star13

Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties

machine-learning random-forest machine machine-learning-algorithms randomforest machine-learning-library machinelearning decision-trees decision-tree decision-tree-classifier decision-tree-algorithm machine-learning-models random-forest-regressor machine-learning-tutorials decision-tree-regression random-forest-classifier machine-learning-projects random-forest-regression randomforestregressor randomforestclassifier

UpdatedAug 29, 2021
Python

cecivieira /cotas-genero-eleicoes-e-proposicoes-legislativas

Star9

Análise de dados sobre cotas de gênero e seu impacto nas eleições e proposições legislativas da Câmara dos Deputados Federais entre 1934 e 2021. Parte do TCC da pós-graduação em Inteligência Artificial e Aprendizado de Máquina na@pucminas

python pandas dataanalysis randomforestclassifier preprocessing-data

UpdatedApr 26, 2022
Jupyter Notebook

DataSpieler12345 /python-for-ds-ml

Star6

My Python learning experience 📚🖥📳📴💻🖱✏

machine-learning-algorithms seaborn scipy beautifulsoup matplotlib ridge-regression polynomial-regression scikitlearn-machine-learning monte-carlo-methods lasso-regression t-distribution numpy-library pandas-library nltk-python matplotlib-pyplot sckit-learn anova-test randomforestregressor randomforestclassifier anova-analysis

UpdatedMay 19, 2024
Jupyter Notebook

FaezehAbedi2023 /Statistical-Analysis-in-Sensor-Data-Processing-with-Machine-Learning-Models

Star5

This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.

python numpy scikit-learn pandas matplotlib confusion-matrix histograms svm-classifier f1-score correlation-matrix decisiontreeclassifier accuracy-score randomforestclassifier smote-sampling precision-score recall-score smote-oversampler preprocessing-data

UpdatedAug 6, 2024
Jupyter Notebook

a3X3k /Spam-Email-Detection

Star5

python machine-learning naive-bayes-classifier logistic-regression machinelearning svm-model decision-tree-classifier spam-classification svm-classifier gradient-boosting knn-classification xgboost-algorithm random-forest-classifier knn-model knn-classifier svm-kernel adaboostclassifier randomforestclassifier bagging-ensemble extratreesclassifier

UpdatedOct 11, 2022

pavankethavath /Microsoft-Classifying-Cybersecurity-Incidents-with-ML

Star5

A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn

machine-learning exploratory-data-analysis pandas feature-selection logistic-regression feature-engineering hyperparameter-tuning decision-tree-classifier gradientboosting smote dataanalysis correlation-analysis joblib shap modelselection xgboost-classifier randomforestclassifier lgbmclassifier randomsearchcv classificationreport

UpdatedNov 27, 2024
Jupyter Notebook

sharathnirmala16 /btc-ml-epat-project

Star5

Exploring the effectiveness of Random Forests in developing intraday trading strategies using existing technical indicators for the Bitcoin-US Dollar (BTC-USD) pair.

python cryptocurrency algotrading backtesting randomforestclassifier

UpdatedJul 22, 2024
Jupyter Notebook

Pradnya1208 /Credit-card-fraud-detection-using-ensemble-learning-predictive-models

Star5

The Aim of this project is used to identify whether a new transaction is fraudulent or not.

credit-card-fraud ensemble-learning classification-algorithm xgboost-algorithm feature-importance randomforestclassifier lightgbm-classifier

UpdatedJan 8, 2022
Jupyter Notebook

reknahs /Rubiks-Cube-Inference-Model

Star4

machine-learning image-processing image-classification color-classification randomforest-classification randomforestclassifier

UpdatedMar 30, 2024
Python

SwatejPatil /Fake-Currency-Detection

Star3

Identification of fake currency is a challenging problem for all. Fake banknotes are becoming more and more identical to the real ones. In this Fake Currency Detection model, I have used multiple machine learning algorithms to determine fake or real banknotes and was able to achieve more than 90% accuracy.

ml logistic-regression randomforestclassifier

UpdatedAug 31, 2021
Jupyter Notebook

AM-mirzanejad /Heart-Failure-Prediction

Star3

The Heart Disease Predictor is a Python project developed to classify whether an individual has heart disease based on specific input parameters. It utilizes the scikit-learn and NumPy libraries for implementation.

python machine-learning numpy svm jupyter-notebook pandas scikit-learn-python randomforestclassifier

UpdatedMay 11, 2024
Jupyter Notebook

prabormukherjee /ML_visualizer

Star3

Machine learning model Visualizer in web using streamlit

heroku visualizer logisticregression cloud-hosting svc-svm streamlit randomforestclassifier

UpdatedSep 18, 2020
Python

mb16biswas /fullstack_heart_discease_prediction_app

Star3

It is a full stack ml app , compared multiple ml models(KNeighborsClassifier, LogisticRegression, RandomForestClassifier ) , later deploy the best model using flask , and the frontend is created with react.js

react flask kneighborsclassifier logisticregression randomforestclassifier