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milaan9 / Machine_Learning_Algorithms_from_Scratch

Star 189

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

data-science machine-learning random-forest machine-learning-algorithms naive-bayes-classifier decision-trees fitting-algorithm dynamic-time-warping machine-learning-python singular-value-decomposition value-iteration-algorithm frequentist-methods error-functions gaussian-naive-bayes machine-learning-matlab python4datascience tutor-milaan9 matlab4datascience
  • Updated Dec 9, 2022
  • Jupyter Notebook
AgriSens

ravikant-diwakar / AgriSens

Sponsor
Star 26

AI Powered Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, fertilizer recommendation, and crop management guidance through a user-friendly web app.

ml cnn webapp xgboost logistic-regression ieee weather-api support-vector-machine knn decision-tree random-forest-classifier disease-prediction plant-disease-identification gaussian-naive-bayes crop-prediction streamlit crop-recommendation fertilizer-recommendation agrisens farming-guide
  • Updated Apr 15, 2025
  • Jupyter Notebook

Ayantika22 / Linear-discriminant-Analysis-LDA-for-Wine-Dataset

Star 8

Linear discriminant Analysis(LDA) for Wine Dataset of Machine Learning

classifier machine-learning jupyter-notebook classification accuracy logistic-regression python-3 support-vector-machine unsupervised-learning decision-tree k-nearest-neighbours linear-discriminant-analysis knn-classification random-forest-classifier gaussian-naive-bayes wine-dataset cohen-kappa
  • Updated Jun 29, 2020
  • Jupyter Notebook
Applying-Deep-Learning-vs-Machine-Learning-models-to-reproduce-dry-spell-sequences

Pargo18 / Applying-Deep-Learning-vs-Machine-Learning-models-to-reproduce-dry-spell-sequences

Star 8

This research constitutes an attempt to assess the dry spell patterns in the northern region of Ghana, near Burkina Faso. We aim to develop a model which by exploiting satellite products overcomes the poor temporal and spatial coverage of existing ground precipitation measurements. For this purpose 14 meteorological stations featuring different …

machine-learning deep-neural-networks deep-learning random-forest logistic-regression feedforward-neural-network convolutional-neural-networks transfer-learning hydrology support-vector-machines hydrology-statistical gaussian-naive-bayes
  • Updated May 21, 2025
  • Jupyter Notebook

Ayantika22 / PCA-Principle-Component-Analysis-For-Seed-Dataset

Star 5

PCA(Principle Component Analysis) For Seed Dataset in Machine Learning

classifier machine-learning jupyter-notebook classification accuracy logistic-regression python-3 unsupervised-learning support-vector-machines decision-tree-classifier principle-component-analysis random-forest-classifier knn-classifier gaussian-naive-bayes seed-dataset k-nearest-neighbor-classifier dimensionality-reduction-technique cohen-kappa
  • Updated Jun 30, 2020
  • Jupyter Notebook

NhanPhamThanh-IT / GNB-Cancer-Cell-Classification

Star 4

🔬 Reproducible sandbox for Gaussian Naive Bayes (GNB) applied to cancer cell classification — includes an interactive notebook, data layout and preprocessing guidance, feature-extraction tips, a lightweight scikit-learn pipeline, evaluation protocols for small/imbalanced biomedical datasets, and example scripts for prepare/train/evaluate.

python open-source experiment machine-learning scikit-learn scripts jupyter-notebook ml pandas artificial-intelligence dataset classification contribution learning-materials model-evaluation model-training gaussian-naive-bayes matplotlib-pyplot cancer-cells
  • Updated Aug 17, 2025
  • Jupyter Notebook

Ayantika22 / LDA-Linear-Discriminant-Analysis-for-Seed-Dataset

Star 3

LDA(Linear Discriminant Analysis) for Seed Dataset

classifier machine-learning classification accuracy python-3 support-vector-machine jupyter-notebooks unsupervised-learning decision-tree-classifier random-forest-classifier k-nearest-neighbors knn-classifier linear-discriminant-analysis-lda gaussian-naive-bayes seed-dataset logistic-regression-classifier dimensionality-reduction-technique cohen-kappa
  • Updated Jun 30, 2020
  • Jupyter Notebook

pranjal0207 / Automatic-Question-Generator

Star 3

A tool for Automatic Question Generation tool in python using Natural Language Processing. Scanned images of notes are to be uploaded from which questions have to be extracted from. These scanned images converted to ‘.txt’ file. Question are generated and saved in a '.txt' file using NLP and Gaussian Naive Bayes classification

gaussian-naive-bayes automatic-question-generator-nlp
  • Updated Jul 14, 2022
  • Jupyter Notebook

VGandhi27 / Depression-Detection-using-Naive-Bayes

Star 3

According to the World Health Organization, depression is the leading cause of disability worldwide. Globally, more than 300 million people of all ages suffer from the disorder. And the incidence of the disorder is increasing everywhere. Depression is a complex condition, involving many systems of the body

processing natural-language-processing sentiment-analysis naive-bayes-classifier depression natural multinomial-naive-bayes nltk-python gaussian-naive-bayes depression-detection
  • Updated May 24, 2023
  • Jupyter Notebook

Ayantika22 / PCA-Iris-Clustering-Visualization

Star 2

Principle Component Analysis Clustering Visualization for Iris dataset

classifier machine-learning jupyter-notebook python3 pca classification accuracy logistic-regression iris support-vector-machines decision-tree-classifier principle-component-analysis iris-dataset knn-classification random-forest-classifier unsupervised-clustering knn-classifier anaconda3 gaussian-naive-bayes cohen-kappa
  • Updated Jun 29, 2020
  • Jupyter Notebook

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