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Projects in Awesome Lists tagged with scikit-learn-python

A curated list of projects in awesome lists tagged with scikit-learn-python .

https://github.com/reddyprasade/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 learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).

classification consists machine-learning machine-learning-algorithms prediction python python-3 regression reinforcement-learning scikit-image scikit-learn scikit-learn-api scikit-learn-python scikit-model semi-supervised-learning sklearn supervised-learning unsupervised-learning vector

Last synced: 01 Aug 2025

https://github.com/souvikmajumder26/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.

data-science ensemble-classifier ensemble-learning ensemble-machine-learning ensemble-model machine-learning matplotlib numpy pandas python python3 random-forest scikit-learn scikit-learn-python scikitlearn-machine-learning support-vector-machine svm svm-classifier svm-model xgboost

Last synced: 29 Mar 2025

https://github.com/subhangisati/machine-learning

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.

artificial-intelligence classification data-science decision-trees knn-classification knn-model linear-regression logistic-regression machine-learning machine-learning-algorithms python regression-algorithms regression-models scikit-learn-python scikitlearn-machine-learning svm-classifier

Last synced: 21 Feb 2025

https://github.com/aadityasivas/scikit-learn

A jupyter notebook which trains a model with scikit-learn

jupyter-notebook scikit-learn-python

Last synced: 09 Apr 2025

https://github.com/suundumused/weather-forecast-ai-example

The project scope is a weather forecasting model based on behavioral analysis of the last 33 hours (hour-by-hour forecast) with Random Forest Classifier. The program automatically saves and loads the last trained model for prediction.

ai artificial-intelligence artificial-intelligence-algorithms artificial-intelligence-projects artificialintelligence scikit scikit-learn scikit-learn-python scikitlearn scikitlearn-machine-learning weather weather-conditions weather-forecast weather-information

Last synced: 26 Jul 2025

https://github.com/myounus-codes/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression

In this project I have cleaned the data for the model. Project Google Colab Link: https://colab.research.google.com/drive/1vQY-XEFJSdEkW2PQOSf1j13Yk8L-XXNw?usp=sharing

algorithms data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python

Last synced: 18 Sep 2025

https://github.com/aroojzahra908/artifical-intelligence-and-machine-learning-

Explore the basics of linear regression, gradient descent, and AI using Python. Get hands-on with NumPy, pandas, Matplotlib, and scikit-learn for practical learning.

artificial-intelligence gradient-descent linear-regression machine-learning matplotlib numpy pandas scikit-learn-python

Last synced: 31 Mar 2025

https://github.com/nafisalawalidris/machine-learning-with-python

Machine Learning with Python final project: Apply ML algorithms to solve real-world problem. Hands-on experience in data preprocessing, model selection, evaluation. Showcase ML proficiency in Python.

classification data-science hierarchical-clustering machine-learning regression scikit-learn-python scipy

Last synced: 16 Mar 2025

https://github.com/iamjuniorb/d499-supervised-learning

This class for machine Learning presents the end-to-end process of investigating data through a machine learning lens.

machine-learning project python python3 scikit-learn scikit-learn-python scikitlearn-machine-learning supervised-learning supervised-machine-learning

Last synced: 13 Aug 2025

https://github.com/mrprashant750/12

12 is a natural number following 11 and preceding 13. It is commonly used to represent a dozen items or units in various contexts, such as months in a year, hours on a clock, and members in a jury.

cnn computer-vision cpp curriculum directx html machinelearning-python microsoft-for-beginners nlp python raspberry-pi rnn scikit-learn-python tutorials

Last synced: 20 Feb 2025

https://github.com/narendhiran-dev/predictive-analytics-for-repayment-predictions

A machine learning API built with Python, FastAPI, and Scikit-learn to predict borrower repayment risk based on historical payment data. A FinTech risk assessment system that uses a Random Forest model to predict a borrower's future repayment behavior and serves the prediction via a REST API.

data-science fastapi fintech loan-prediction loan-prediction-analysis machine-learning machine-learning-algorithms predictive-modeling python random-forest random-forest-classifier random-forest-regression rest-api risk-assessment scikit-learn scikit-learn-api scikit-learn-python

Last synced: 23 Oct 2025

https://github.com/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression

🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.

data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python

Last synced: 05 Oct 2025

https://github.com/nyx1311/timelstm

TimeLSTM: An interactive Streamlit app for multi-step time series forecasting using LSTM networks, featuring data preprocessing, visualization, GPU-accelerated model training, and automated result export.

deep-learning deep-neural-networks lstm-neural-networks numpy pandas ploty python3 scikit-learn-python statsmodels streamlit torch tqdm

Last synced: 09 Oct 2025

https://github.com/shantanudhanawade/mini-projects

Price prediction with linear regression

matplotlib-python numpy pandas scikit-learn-python

Last synced: 09 Oct 2025

https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization

A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.

dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python

Last synced: 10 Oct 2025

https://github.com/mongshil553/scikit-learn-clustering

Sleep Health and Lifestyle Clustering using Scikit-Learn

clustering machine-learning scikit-learn-python

Last synced: 03 Mar 2025

https://github.com/haseeeb21/machine-learning-models

Machine Learning Models trained on Scikit-learn datasets. This repository contains the code files and saved models trained on Toy datasets (Classification & Regression), and Real World dataset.

anaconda classification classification-models jupyter-notebook knn knn-classification machine-learning machine-learning-algorithms python3 regression regression-models scikit-learn scikit-learn-python scikitlearn-machine-learning svm svm-classifier vscode

Last synced: 23 Oct 2025