sckiit-learn
Here are 400 public repositories matching this topic...
Language:All
Sort:Most stars
an implementation of a Radial Basis Function Neural Network (RBFNN) for classification problem.
- Updated
Sep 29, 2023 - Python
Diseases Prediction System though Machine Learning with code and documents
- Updated
Dec 29, 2022 - Jupyter Notebook
End to end implementation and deployment of Machine Learning Car Price Prediction using python, flask, gunicorn, scikit-Learn, etc. on Heroku web application platform.
- Updated
Nov 3, 2020 - Jupyter Notebook
Movie data analysis project exploring revenue trends, genre popularity, and audience ratings using Python Libaries, Scikit-Learn, and data visualization.
- Updated
Mar 30, 2025 - Jupyter Notebook
PSO feature selection improves classifier performance. Implemented in Jupyter Notebook with pandas, numpy, scikit-learn. PSO done from scratch. Results compared using accuracy, precision, recall, F1 score. Improves results compared to using all features. Can be applied to various classification problems.
- Updated
Jan 30, 2023 - Jupyter Notebook
Sample codes in Python of machine learning models for enterprise financial applications using scikit-learn and PyTorch
- Updated
Jul 29, 2023
This repo contains a simple Python implementation of the Perceptron algorithm, one of the earliest and most fundamental building blocks in machine learning.
- Updated
Jul 3, 2025 - Python
Explore detailed technical guides for the Zama FHE protocol. Set up your environment on Linux, Windows, or GitHub Codespace. 🚀💻
- Updated
Dec 18, 2025 - TypeScript
Implementation & Learning of Compression of Image through use of K-means Clustering Algorithm
- Updated
Oct 21, 2021 - Jupyter Notebook
Implements a genetic algorithm to select the most impactful features in a dataset to improve classifier performance. Written in Jupyter Notebook using pandas, numpy, scikit-learn. Results displayed with accuracy, precision, recall, F1 score comparison to using all features.
- Updated
Jan 30, 2023 - Jupyter Notebook
Welcome to the world of Speech Emotion Recognition (SER) in Python! This project aims to harness the power of machine learning to detect and classify emotions from spoken language. Whether it's joy, sadness, anger, or any other emotion, our SER model, built using Python libraries and deep learning techniques, can understand and differentiate them.
- Updated
Jan 15, 2024 - Jupyter Notebook
Classifier des mails avec des outils ML
- Updated
Mar 31, 2025 - Jupyter Notebook
First exercise on simple linear regression and working with numpy and scikit-learn
- Updated
Jul 22, 2023 - Jupyter Notebook
We solve a regression problem in which it consists of calculating the health insurance charge in the United States Where we will break down the project into 5 phases: Exploratory Analysis. Feature Engineering. Selection of the ideal model. Development of the final model. Creation of a web application in streamlit.
- Updated
Jul 28, 2022 - Jupyter Notebook
A Website powered by Machine Learning to find the shortest and safest route dynamically, based on traffic changes for Delhi Metro Services.
- Updated
Apr 25, 2021 - Jupyter Notebook
Machine Learning model development for a transport company, the objective is to predict whether an order will arrive on time or not.
- Updated
Sep 24, 2022 - Jupyter Notebook
Algorithmic trading (postgraduate dissertation)
- Updated
Nov 2, 2021 - Jupyter Notebook
Sentiment Analysis Using Bert Transformer
- Updated
Oct 18, 2020 - Jupyter Notebook
PySpark Python ML Models
- Updated
Nov 22, 2019 - Jupyter Notebook
Distributed System Fault Diagnosis System based on Machine Learning
- Updated
Jul 16, 2024 - Python
Improve this page
Add a description, image, and links to thesckiit-learn topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thesckiit-learn topic, visit your repo's landing page and select "manage topics."