scikit-learn-api

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

sktime / skbase

Sponsor

Star 27

Base classes for creating scikit-learn-like parametric objects, and tools for working with them.

python framework scikit-learn-api sktime skbase

Updated Sep 7, 2025
Python

ksachdeva / scikit-nni

Star 25

AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI

tool scikit-learn sklearn hyperparameters automl scikit-learn-api hyperparameter-search sklearn-library nni neural-network-intelligence

Updated Dec 8, 2022
Python

dayeonhwang / instagramPredictor

Star 19

Machine Learning project to predict popularity of Instagram posts

python machine-learning instagram-api scrapy-crawler dataprocessing scikit-learn-api

Updated Sep 7, 2017
Python

jlgarridol / sslearn

Star 9

The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.

machine-learning scikit-learn semi-supervised-learning classification-algorithm semi-supervised scikit-learn-api semisupervised-learning

Updated Jul 16, 2025
Python

rakshithvasudev / Machine-Learning

Star 7

Gender Classifier, Price Predictor, Human Behavior Predictor and other Insights from Machine Learning.

machine-learning sentiment-analysis linear-regression sklearn ipython-notebook python3 scikitlearn-machine-learning scikit-learn-api

Updated Oct 31, 2019
Jupyter Notebook

ShivamGupta92 / Analysis-of-Market-Trends-using-deep-learning

Star 7

Analysis of market trend using Deep Learning is project that forecasts stock prices using historical data and ML models. Leveraging data collection, feature engineering, and model training. Primarily designed for the Indian stock market, it is adaptable for international markets, providing valuable insights for investors and analysts.

mysql deep-neural-networks tensorflow numpy keras pandas python3 time-series-analysis scikit-learn-api yfinance-api

Updated Aug 4, 2024
Jupyter Notebook

jameschapman19 / scikit-prox

Star 4

A package for fitting regularized models from scikit-learn via proximal gradient descent

scikit-learn regularization scikit-learn-api proximal-gradient-descent

Updated Jun 28, 2023
Python

XuegongLab / neoguider

Star 3

NeoGuider, neoepitope detection using advanced feature engineering

feature-engineering cancer-research generalized-linear-models neoepitopes scikit-learn-api non-parametric-density-estimation snakemake-pipeline neoantigen-prediction tumor-antigen

Updated Jun 8, 2025
Python

pr38 / socraticbumpsearch

Star 2

A scikit-learn compatible implementation of Bumping as described by "Elements of Statistical Learning" second edition (290-292).

python machine-learning scikit-learn scikit-learn-api bumping

Updated Apr 1, 2020
Python

MYoussef885 / Breast_Cancer_Classification_using_NN

Star 2

The "Breast Cancer Classification using Neural Networks" project focuses on predicting the presence of breast cancer using deep learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and implementing neural networks.

python deep-learning pandas-dataframe scikit-learn neural-networks numpy-arrays scikit-learn-api matplotlib-pyplot google-colab-notebook