Skip to content
#

scikit-learn-python

Star

Here are 121 public repositories matching this topic...

Language: All
Filter by language
All 121 Jupyter Notebook 66 Python 38 HTML 7 R 2 JavaScript 1 Svelte 1
Sort: Most stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

flo7up / relataly-public-python-tutorials

Star 151

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

python twitter-bot data-science machine-learning reinforcement-learning deep-learning time-series neural-network recurrent-neural-networks feature-selection openai neural-networks stock-price-prediction churn-prediction keras-tensorflow stock-market-prediction time-series-prediction time-series-forecasting scikit-learn-python openai-api
  • Updated Aug 9, 2023
  • Jupyter Notebook
Machine-Learning-with-Scikit-Learn-Python-3.x

reddyprasade / Machine-Learning-with-Scikit-Learn-Python-3.x

Star 55

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised lea…

python machine-learning reinforcement-learning vector scikit-learn sklearn machine-learning-algorithms scikit-image regression prediction consists supervised-learning classification semi-supervised-learning python-3 unsupervised-learning scikit-model scikit-learn-api scikit-learn-python
  • Updated Jun 16, 2021
  • Jupyter Notebook

UtsavMurarka / MXene-machine-learning

Star 8

Classification of MXenes into metals and non-metals based on physical properties

machine-learning deep-learning neural-network random-forest physics scikit-learn sklearn machine-learning-algorithms logistic-regression machinelearning atoms decision-trees molecules scikitlearn-machine-learning atomic-physics sklearn-classify knn-classifier sklearn-library machinelearning-python scikit-learn-python
  • Updated Oct 19, 2020
  • Jupyter Notebook
Machine_Learning

Lawrence-Krukrubo / Machine_Learning

Star 7

Machine learning is the sub-field of Computer Science, that gives Computers the ability to learn without being explicitly programmed (Arthur samuel, American pioneer in the field of Computer gaming and AI , coined the term Machine Learning in 1959, while at IBM )

python tensorflow linear-regression supervised-learning logistic-regression clustering-algorithm knearest-neighbor-algorithm classification-algorithm unsupervised-machine-learning scikit-learn-python
  • Updated Dec 14, 2020
  • Jupyter Notebook

dpscience / DMLLTDetectorPulseDiscriminator

Star 3

DMLLTDetectorPulseDiscriminator - A supervised machine learning approach for shape-sensitive detector pulse discrimination in lifetime spectroscopy applications

machine-learning scikit-learn detector artificial-intelligence discriminator high-energy-physics materials-science time-of-flight scikitlearn-machine-learning lifescience fluorescence-microscopy-imaging positron-emission-tomography supervised-machine-learning pulse-detection gaussian-naive-bayes-implementation lifetime-spectroscopy positron-lifetime-spectra fluorescence-correlation scikit-learn-python pulse-shape-discrimination
  • Updated Jan 20, 2021
  • Python
IEEE-ECG-Ensemble-XGBoost

souvikmajumder26 / IEEE-ECG-Ensemble-XGBoost

Star 3

👨‍💻 Developed AI Models - Ensemble of Random Forest & SVM and XGBoost classifiers to classify five types of Arrhythmic Heartbeats from ECG signals - published by IEEE.

python data-science machine-learning random-forest numpy svm scikit-learn pandas python3 xgboost ensemble-learning matplotlib support-vector-machine svm-model ensemble-model svm-classifier scikitlearn-machine-learning ensemble-classifier ensemble-machine-learning scikit-learn-python
  • Updated Jun 22, 2023
  • Jupyter Notebook

SubhangiSati / Machine-Learning

Star 2

This consists of various machine learning algorithms like Linear regression, logistic regression, SVM, Decision tree, kNN etc. This will provide you basic knowledge of Machine learning algorithms using python. You'll learn PyTorch, pandas, numpy, matplotlib, seaborn, and various libraries.

python data-science machine-learning linear-regression machine-learning-algorithms artificial-intelligence classification logistic-regression decision-trees regression-models svm-classifier scikitlearn-machine-learning knn-classification regression-algorithms knn-model scikit-learn-python
  • Updated Feb 10, 2024
  • Python

Improve this page

Add a description, image, and links to the scikit-learn-python topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the scikit-learn-python topic, visit your repo's landing page and select "manage topics."

Learn more