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#

scikit-learn-python

Here are 136 public repositories matching this topic...

ML-For-Beginners

🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)

  • UpdatedJul 6, 2023
  • Python

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.

  • UpdatedAug 9, 2023
  • Jupyter Notebook

A fast, robust library to check for offensive language in strings, dropdown replacement of "profanity-check".

  • UpdatedJan 30, 2025
  • Python
Machine-Learning-with-Scikit-Learn-Python-3.x

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…

  • UpdatedJun 16, 2021
  • Jupyter Notebook

Efficient sparse matrix implementation for various "Principal Component Analysis"

  • UpdatedNov 12, 2018
  • Python
Machine_Learning

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 )

  • UpdatedDec 14, 2020
  • Jupyter Notebook

A Course from kaggle solved Exercises

  • UpdatedJul 13, 2024
  • Jupyter Notebook

This folder contains the basic algorithms of ML implemented with Python.

  • UpdatedAug 27, 2024
  • Jupyter Notebook
IEEE-ECG-Ensemble-XGBoost

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

  • UpdatedJun 22, 2023
  • Jupyter Notebook

This repository demonstrates data imputation using Scikit-Learn's SimpleImputer, KNNImputer, and IterativeImputer.

  • UpdatedAug 3, 2020
  • Python

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.

  • UpdatedFeb 10, 2024
  • Python

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