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scikit-learn

scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

https://github.com/mpolinowski/local-linear-embedding

Improve Data Quality by discarding non-correlating, noisy Dimensions

locally-linear-embedding pyplot python scikit-learn

Last synced: 28 Jan 2025

https://github.com/mpolinowski/multi-dimensional-scaling

Multidimensional Scaling is a family of statistical methods that focus on creating mappings of items based on distance.

matplotlib-pyplot multi-dimensional-scaling python scikit-learn

Last synced: 28 Jan 2025

https://github.com/mpolinowski/scikit-wine-quality

Predicting Wine Quality with Several Classification Techniques using SciKit Learn.

feature-classifiers python scikit-learn

Last synced: 28 Jan 2025

https://github.com/mrktsm/spam-email-recognizer

Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.

data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model

Last synced: 17 Jan 2025

https://github.com/mpolinowski/tstochastic-neighbor-embedding

Improve Data Quality by discarding non-correlating, noisy Dimensions

matplotlib-pyplot python scikit-learn t-sne

Last synced: 28 Jan 2025

https://github.com/bruceunx/ai-simulator

aiplayground 人工智能学习乐园

ai maching-learning scikit-learn

Last synced: 15 Jan 2025

https://github.com/namratha2301/bangalorehousepricepredictor

Predicting house price in Bangalore based on the key features of the house like number of rooms, size in square feet etc.

azure bashscript docker flake8 flask github-actions scikit-learn

Last synced: 28 Jan 2025

https://github.com/eesunmoon/aml_project

[Project] Analyzing Fitness Patterns & Building Predictive Models

matplotlib numpy pandas python3 recommender-system scikit-learn seaborn tensorflow

Last synced: 03 Feb 2025

https://github.com/jayanthpotluri5513/chatviewapp

The ChatView App is an interactive tool for analyzing WhatsApp chat data. Utilizing TensorFlow, Keras, and Streamlit, it allows users to import .txt files, perform sentiment analysis, and visualize chat patterns and keyword trends, enhancing understanding of conversations.

deep-learning keras machine-learning nlp scikit-learn tensorflow

Last synced: 20 Dec 2024

https://github.com/aryan-coder-student/smart-agricultural-monitering-aryanpahari037-

Increase agricultural productivity and sustainability by offering a smart farming assistant that helps farmers make data-driven decisions to optimize resource use and crop management.

hackathon-project machine-learning numpy pandas python scikit-learn

Last synced: 05 Feb 2025

https://github.com/ejw-data/ml-classification-exoplanet

Classification of planets identified by Kepler telescope using multiple models and tuning using GridSearchCV

classification python scikit-learn

Last synced: 22 Jan 2025

https://github.com/viniciusds2020/ml_pycaret_classificacao

Sistema de preprocessamento e treinamento de modelos de machine learning utilizando PyCaret. Uma metodologia low-code para processos de MLops

machine-learning mlops preprocessing pycaret python scikit-learn

Last synced: 05 Feb 2025

https://github.com/idaraabasiudoh/drug_prescribtion_decision_tree_model

This repository contains a machine learning project focused on classifying drugs based on patient characteristics using a Decision Tree classifier. The project uses Python and popular data science libraries such as scikit-learn, pandas, and matplotlib.

data-analysis jupyter-notebook machine-learning python3 scikit-learn

Last synced: 14 Jan 2025

https://github.com/thbaylson/datascience

All of my past data science assignments put into one singular notebook. The notebook begins with Intro to Data Visualization and ends with Machine Learning.

data-analysis data-science data-visualization decision-tree jupyter-notebook k-nearest-neighbors linear-regression machine-learning neural-network pandas-library python3 scikit-learn

Last synced: 28 Jan 2025

https://github.com/sudothearkknight/15-machinelearningprojects

A curation of 15 Machine Learning projects in various fields that are helping me gain a better understanding of the different machine learning tools, techniques, algorithms and methodalogies.

classification-algorithm machine-learning machine-learning-algorithms natural-language-processing pycharm-ide python3 regression-models scikit-learn scikitlearn-machine-learning spam-detection

Last synced: 19 Dec 2024

https://github.com/kavaivaleri/linear-regression

Basic linear regression using data from Kaggle https://www.kaggle.com/adityadesai13/used-car-dataset-ford-and-mercedes/tasks?taskId=1258

linear-regression numpy pandas plots scikit-learn scipy seaborn-plots

Last synced: 20 Jan 2025

https://github.com/cptanalatriste/copycat-detector

A Naive-Bayes classifier for detecting plagiarism.

amazon-sagemaker naive-bayes-classifier scikit-learn

Last synced: 12 Jan 2025

https://github.com/solrikk/magicxml

Magic-XML — is a modern web application developed for the convenient and swift transformation of data from XML files into CSV format. The application leverages the power of FastAPI to ensure high performance in request processing, as well as utilizes machine learning algorithms and natural language processing for efficient analysis

aplication app async cosinesimilarity cscart csv csv-files csv-format data fastapi machine-learning matrix python scikit-learn tfidf-vectorizer web webapp xml-parser

Last synced: 03 Feb 2025

https://github.com/bsamseth/triangular-regressor

A scikit-learn compatible implementation of a 2D triangular regressor.

scikit-learn triangulation

Last synced: 13 Dec 2024

https://github.com/akapich/clustermatic

Python AutoML library for clustering tasks

automl clustering machine-learning scikit-learn

Last synced: 28 Dec 2024

https://github.com/anastasiaschmidt1/sqli-detection-ml

UNI-PROJEKT: Erkennung von SQL-Injection-Angriffen durch maschinelles Lernen (SVM-Modell)

bht-berlin machine-learning scikit-learn sqli svm

Last synced: 28 Dec 2024

https://github.com/tomgorb/ds-utils

pre-processing of a DataFrame into a sparse matrix for model input

machine-learning preprocessing scikit-learn

Last synced: 09 Jan 2025

https://github.com/omar-karimov/ai4renewals-gendes

This project adopts a modular Python architecture within an MLOps framework to enhance subscription renewal predictions, utilizing FastAPI and MongoDB with AWS integration (S3, ECR, EC2). Docker ensures seamless deployment, and GitHub Actions automate the CI/CD workflows. Evidently AI monitors drift to guarantee predictive accuracy and reliability.

api aws deployment docker drift-detection ec2 ecr evidently fastapi github-actions mangodb mlops modularization pipeline s3 scikit-learn workflow yaml-configuration

Last synced: 22 Jan 2025

https://github.com/hokagem/damagedlogginganalyzer

A project about an analization of a statistic of damaged logging (wood) in Germany using Python.

analysis csv csv-parser k-fold-cross-validation numpy pandas pandas-dataframe pandas-python polynomial-regression scikit-learn statistics wood

Last synced: 03 Feb 2025

https://github.com/kevin-patyk/mlobster

An educational project which aims to recreate the major algorithms and functionality of Scikit-learn in Rust.

educational-project machine-learning mlobster python rust scikit-learn

Last synced: 28 Jan 2025

https://github.com/junya737/weighted-pls-regression

A Python implementation of Weighted Partial Least Squares Regression with support for sample weights.

machine-learning partial-least-squares-regression scikit-learn

Last synced: 28 Dec 2024

https://github.com/virajbhutada/article-clustered-recommendation-system-ml

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy

Last synced: 15 Oct 2024

https://github.com/kiapanahi/handson-machine-learning-book-playground

Sample codes and practices around the book "Hands-On Machine Learning with Scikit-Learn and TensorFlow"

machine-learning python scikit-learn tensorflow

Last synced: 16 Jan 2025

https://github.com/jimmymugendi/bulding-a-decision-tree-to-predict-customer-churn

This repo desribes bulding a decision tree to predict customer churn in a given organisation

accuracy-score decision-tree-classifier matplotlib-pyplot numpy pandas-dataframe scikit-learn

Last synced: 16 Jan 2025

https://github.com/billgewrgoulas/recommendation-systems

Algorithms for joke rating prediction using the joke data-set from Kaggle.

algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi

Last synced: 16 Jan 2025

https://github.com/somjit101/ds-logistic-regression

A simple implementation of the Logistic Regression Classifier on the Breast Cancer Dataset with L1 regularization and GridSearch for hyperparameter tuning.

breast-cancer-prediction breast-cancer-wisconsin grid-search grid-search-cross-validation hyperparameter-tuning logistic-regression machine-learning-algorithms regularization scikit-learn

Last synced: 16 Jan 2025

https://github.com/karimosman89/customer-churn-prediction

Predict which customers are likely to stop using a service.Build a model to predict which customers are likely to stop using a service or product. This can help companies take proactive measures to retain customers.Provide actionable insights and retention strategies based on the model’s predictions.

matplotlib-pyplot pandas python scikit-learn seaborn

Last synced: 20 Dec 2024

https://github.com/karimosman89/energy-consumption-forecasting

Predict future energy consumption based on historical data.Create a model that predicts energy consumption in households or businesses to optimize energy distribution and reduce costs.Assist energy companies in planning and managing supply efficiently.

arima lstm matplotlib pandas python scikit-learn

Last synced: 20 Dec 2024

https://github.com/sudarshanc00/brain-tumor-classification

This project uses a deep learning model in PyTorch to classify brain MRI images into four tumor types, aiding early diagnosis and treatment planning. Two ResNet-based models were developed and optimized, achieving high accuracy to support healthcare professionals in identifying tumor categories.

matplotlib numpy pytorch resnet scikit-learn streamlit

Last synced: 21 Jan 2025

https://github.com/jmromer/warbler

A recommendation engine powered by scikit-learn and served by Flask.

flask flask-api numpy pandas python3 scikit-learn

Last synced: 13 Jan 2025

https://github.com/lingumd/neural_network_charity_analysis

Machine learning and neural networks used to create a binary classifier capable of predicting whether applicants will be successful if funded by Alphabet Soup.

deep-learning machine-learning matplotlib-pyplot neural-networks onehotencoder pandas scikit-learn seaborn standardscaler tensorflow

Last synced: 23 Jan 2025

https://github.com/samiyaalizaidi/nn-ml-homeworks

Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.

machine-learning machine-learning-workflow neural-networks numpy scikit-learn

Last synced: 16 Jan 2025

https://github.com/hilarionengarejr/movie-recommender-app

Sentiment analysis on user reviews for movie recommendations using Content Based Filtering.

docker flask nltk numpy pandas python3 scikit-learn selenium

Last synced: 15 Dec 2024

https://github.com/lilivalgo/machine-learning-projects

This repository hosts the machine learning project developed during my learning journey. It showcases my progress and the skills acquired in the field of machine learning

lag-feature linear-regression ml-models scikit-learn scipy-stats seaborn-plots

Last synced: 02 Feb 2025

https://github.com/lordhacker756/estate-ai

Estate AI is a machine learning application that predicts the approximate rent a user would need to pay for their requirement across major metro cities of India. It is built using NextJS 13, TailwindCSS, and TypeScript for the frontend, Scikit Learn for Model Training and and Flask for the backend.

fastapi flask machine-learning nextjs13 scikit-learn

Last synced: 03 Feb 2025

https://github.com/0eix/ibm-ds-spacex-falcon9

IBM Professional data science certificate Final Project Notebooks

data-science data-visualization exploratory-data-analysis ibm poetry scikit-learn shap

Last synced: 22 Jan 2025

https://github.com/virajbhutada/article-recommendation-system

This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.

anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy

Last synced: 01 Feb 2025

https://github.com/priyanshulathi/air-quality-index-prediction

Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 19 Dec 2024

https://github.com/priyanshulathi/cancer-diagnosis-prediction-model

A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.

machine-learning numpy pandas python scikit-learn

Last synced: 22 Jan 2025

https://github.com/smahala02/svm-machine-learning

This repository provides an in-depth tutorial and practical implementation of Support Vector Machines (SVM) for classification tasks, using Python and popular data science libraries.

classification data-science machine-learning python scikit-learn svm

Last synced: 22 Jan 2025

https://github.com/dwija12903/password-strength-checker

A Model to evaluate the strength of passwords and enhance security for your applications.

matplotlib pandas scikit-learn seaborn xgboost

Last synced: 22 Jan 2025

https://github.com/ojhaharsh/rockvsmine-prediction

Streamlit App for Predicting Rock vs. Mine using SONAR Data. The app allows users to input SONAR readings and returns predictions based on trained data.

machine-learning python scikit-learn

Last synced: 22 Jan 2025

https://github.com/rinuya/ml-cancer-diagnosis

Binary classficiation using MLP & Random Forest

ml mlp random-forest scikit-learn

Last synced: 22 Jan 2025

https://github.com/roboneet/enron_analysis

udacity project (to be complete)

machine-learning scikit-learn

Last synced: 30 Jan 2025

https://github.com/gititsid/visaverdict

A ML project to predict possibility of US Visa approval

classification python3 random-forest-classifier scikit-learn

Last synced: 22 Jan 2025

https://github.com/otuemre/viginids

VigiNIDS: A machine learning-based system for detecting malicious network traffic using the UNSW-NB15 dataset. It distinguishes between normal and attack activities, providing a data-driven approach to network security.

classification cybersecurity intrusion-detection-system machine-learning network-intrusion-detection python scikit-learn unsw-nb15 xgboost

Last synced: 03 Feb 2025

https://github.com/shubhamsoni98/prediction-with-binomial-logistic-regression

To predict client subscription to term deposits and optimize marketing strategies by identifying potential subscribers.

binomial data data-science eda machine-learning matplotlib pipeline python scikit-learn seaborn sklearn sql visualization

Last synced: 22 Jan 2025

https://github.com/ashrw/handwritten_digit_recognizer

A handwritten digit recognition system using Python and Scikit-learn to preprocess images and classify digits with a trained SVM model.

ml python scikit-learn

Last synced: 22 Jan 2025

https://github.com/hasanulmukit/spam-email-classifier

This is a Spam Email Classifier built using Python and Streamlit. It uses a pre-trained model to predict whether an email is Spam or Not Spam. The app also provides the probability scores for both categories, enhancing transparency and reliability of the prediction.

email-classifier machine-learning nlp python scikit-learn spam-detection streamlit text-classification

Last synced: 03 Feb 2025

https://github.com/tszon/data-science-projects

Included are all the worth-noting Data Science projects in my learning journey with DataCamp.

data-analysis data-science exploratory-data-analysis feature-engineering machine-learning modelling preprocessing-data scikit-learn supervised-learning

Last synced: 22 Jan 2025

https://github.com/zahediparsa/ml_birkaracademy

Developed exercises and practical tasks to help students grasp key machine learning topics in a course hosted by Birkar Academy and ICDS.ai

decision-trees iris-dataset knn machine-learning mlp-classifier scikit-learn

Last synced: 22 Jan 2025

https://github.com/pranavgautam29/flight-price-prediction

The Flight Price Prediction project uses machine learning to forecast flight ticket prices based on historical data. Hosted on Streamlit Community Cloud and deployed via Streamlit, this application allows users to input flight details such as departure and arrival airports, travel dates, and class to receive accurate price predictions.

machine-learning prediction-model regression scikit-learn statistical-machine-learning streamlit

Last synced: 22 Jan 2025

https://github.com/nurulashraf/telco-customer-churn-prediction-model

This repository contains a Telco Customer Churn Prediction project using machine learning. It includes data preprocessing, exploratory data analysis, feature engineering, and model development to predict customer churn. Key tools used are Python, Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn.

churn-prediction classification-model customer-churn data-visualization exploratory-data-analysis machine-learning predictive-analytics python scikit-learn

Last synced: 23 Jan 2025

https://github.com/rishisolanke/twitter-sentiment-analysis-using-machine-learning-

A research project that classifies tweets as positive, negative, or neutral using ML algorithms (Logistic Regression, Naïve Bayes, SVM) with NLP preprocessing.

data-science data-visualization logistic-regression machine-learning ml-models naive-bayes natural-language-processing nlp scikit-learn sentiment-analysis svm text-classification twitter-data

Last synced: 03 Feb 2025

https://github.com/alexsolov28/ml_course

Курс "Технология машинного обучения"

colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 19 Dec 2024

https://github.com/shubhamsoni98/classification-with-random-forest-1

To classify sales into categories (Low, Moderate, High) using Random Forests to inform strategic decisions and optimize marketing strategies.

algorithms anaconda data data-science datacleaning eda jupyter-notebook machine-learning pyhton random-forest scikit-learn visualization

Last synced: 19 Dec 2024

https://github.com/shendrew/coursescope

Machine learning for course classification by topics

beautifulsoup machine-learning nlp scikit-learn

Last synced: 20 Jan 2025

https://github.com/labex-labs/sklearn-practice-plus

[scikit-learn Practice Plus]-In this course, You will practice more labs of scikit-learn. This will help you to master the skills more deeply.

awesome awesome-list challenges course education hands-on labex labs machine-learning pandas programming python scikit-learn

Last synced: 13 Nov 2024

https://github.com/mathealgou/ml-jobs

This project is a machine learning exercise, the application receives a set of skills from the user and returns a job title that matches the skills entered. It uses the Random Forest algorithm to make the prediction base on a jobs dataset.

machine-learning python random-forest-classifier scikit-learn

Last synced: 24 Dec 2024

https://github.com/labex-labs/unsupervised-learning-clustering

[Unsupervised Learning: Clustering] This repository collects 9 of programming scenarios (labs and challenges) for Unsupervised Learning: Clustering. In this course, you will fully understand unsupervised learning and learn to use unsupervised learning to perform data clustering.

awesome awesome-list challenges course education hands-on labex labs machine-learning programming scikit-learn

Last synced: 13 Nov 2024

https://github.com/labex-labs/supervised-learning-classification

[Supervised Learning: Classification] This repository collects 10 of programming scenarios (labs and challenges) for Supervised Learning: Classification. During this course, we will continue to learn another important application in supervised learning - solving classification problems. In the fo...

awesome awesome-list challenges course education hands-on labex labs machine-learning programming scikit-learn

Last synced: 13 Nov 2024

https://github.com/labex-labs/quick-start-with-tensorflow

[Quick Start with TensorFlow] This repository collects 9 of programming scenarios (labs and challenges) for Quick Start with TensorFlow. In this course, you will learn the basic concepts and syntax of TensorFlow 2, and how to use TensorFlow 2 to implement deep learning algorithms.

awesome awesome-list challenges course education hands-on labex labs machine-learning programming scikit-learn tensorflow

Last synced: 13 Nov 2024

https://github.com/labex-labs/foundations-of-deep-learning

[Foundations of Deep Learning] This repository collects 7 of programming scenarios (labs and challenges) for Foundations of Deep Learning. In this course, you will learn the basic concepts of deep learning, including the basic principles of neural networks, the basic principles of TensorFlow, Ker...

awesome awesome-list challenges course education hands-on labex labs machine-learning programming scikit-learn tensorflow

Last synced: 13 Nov 2024

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: 03 Feb 2025

scikit-learn Awesome Lists
awesome-python-data-science 379 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 67 General 31 Deep Learning 11 Data Manipulation 8 Machine Learning 7 Visualization 6 Deployment 6 Model Explanation 5 Probabilistic Methods 5 Optimization 4 Reinforcement Learning 4 Computations 4 Time Series 3 Natural Language Processing 3 Web Scraping 3 Experimentation 2 Distributed Computing 2 Computer Vision 2 Feature Engineering 2 Automated Machine Learning 2