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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/vishal-verma-96/pre-owned-car-price-prediction-using-streamlit-app

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn streamlit

Last synced: 07 Dec 2024

https://github.com/spignelon/letter-recognition_project-ml

A machine learning project for letter recognition using SVM, KNN, and Decision Tree, Random Forest, and Naive Bayes algorithms. Includes data preprocessing, model training, evaluation, and visualization, and research report.

decision-tree-classifier knn-classifier letter-recognition machine-learning machinelearning naive-bayes-classifier random-forest-classifier research research-paper research-project scikit-learn svm-classifier uci-dataset uci-machine-learning

Last synced: 17 Nov 2024

https://github.com/elprofesoriqo/chrome-extension-gmail-spam-filter

Chrome extension that automatically identifies and moves emails marked as spam to the spam folder in Gmail.

api-client chrome-extension firebase-database javascript machine-learning python scikit-learn

Last synced: 09 Jan 2025

https://github.com/manjit-baishya-datascience/spam-email-detection

This project demonstrates how to build a spam detection system using Natural Language Processing (NLP) and machine learning techniques.

imblearn nlp nlp-machine-learning nltk scikit-learn spam-detection

Last synced: 21 Dec 2024

https://github.com/katjaweb/king-county-house-price-prediction

This project aims to predict house prices based on various features such as square footage, number of rooms or location.

machine-learning python regression scikit-learn

Last synced: 21 Dec 2024

https://github.com/khaymanii/big_mart_prediction_model

This model was built using Python and Logistic Regression Algorithm

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 20 Nov 2024

https://github.com/khaymanii/calories-burnt-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/sckonung/crab-age-regression

ML model for regression with a crab age dataset Competition in Kaggle

keras machine-learning pandas python scikit-learn tensorflow

Last synced: 21 Dec 2024

https://github.com/khaymanii/diabetes_prediction_model

This is a Machine learning model built using Python

matplotlib numpy pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/khaymanii/house-price-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/khaymanii/parkinsons-disease-detection-model

This model was built with Python and Support Vector Machine Algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/khaymanii/rock-or-mine-detection_model

This is a Machine learning model built using Python.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 20 Nov 2024

https://github.com/engineertolulope/us_states_living_ranking_analysis

Python script for analyzing and ranking U.S. states based on factors like cost of living, tax burden, diversity, crime rates, and climate. Uses weighted criteria to identify the best states to live in according to these metrics. Ideal for decision-making on relocation.

data-analysis data-science linear-regression machine-learning python scikit-learn

Last synced: 21 Dec 2024

https://github.com/khaymanii/titanic_survival_prediction_-model

This Model was built using Python and Logistic Regression algorithm

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 20 Nov 2024

https://github.com/rusiruchapana/blood-group-prediction

Creating a machine learning project to predict blood groups from fingerprint patterns

asp-net-web-api keras matplotlib numpy opencv-python pandas pillow scikit-learn tensorflow

Last synced: 20 Nov 2024

https://github.com/suvasish114/house-price-estimation

A machine learning model that estimate housing prices in California using the California census data

jupyter-notebook machine-learning python scikit-learn

Last synced: 30 Nov 2024

https://github.com/khaymanii/loan_status_predictor

This is a loan status predictor model built using Support Vector Machine Algorithm and Gradio UI library

matplotlib numpy pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/idaraabasiudoh/credit_card_fraud_detection

This repository contains a machine learning project focused on detecting credit card fraud using Decision Tree and Support Vector Machine (SVM) classifiers.

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

Last synced: 21 Dec 2024

https://github.com/khaymanii/movie-recommendation-model

This is a model built using Python and Cosine Similarity algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/sanjiv856/machine_learning_scikit-learn

Repository for machine learning in Python using Scikit-learn.

pipelines python scikit-learn sklearn titanic-kaggle titanic-survival-prediction

Last synced: 21 Dec 2024

https://github.com/soumyapro/parkinson-disease-prediction

This project predicts Parkinson's disease using machine learning models.

logistic-regression numpy pandas scikit-learn svc xgboost

Last synced: 21 Dec 2024

https://github.com/marconicivitavecchia/stazione-monitoraggio-ambientale

Codice in MicroPython per ESP32 per il corso tenuto dalla nostra scuola rivolto ai docenti sulla creazione di una stazione di monitoraggio ambientale che copre gli argomenti di Python, IoT ed Intelligenza Artificiale.

ai esp32 micropython micropython-esp32 python school-project scikit-learn

Last synced: 22 Dec 2024

https://github.com/idaraabasiudoh/telco-churn-logistic-regression

A predictive model using logistic regression to identify customers likely to churn from a telecommunications company.

logistic-regression machine-learning python3 scikit-learn

Last synced: 21 Dec 2024

https://github.com/enayar478/nomad_machine_learning_dash_app

An interactive Machine Learning app built with Dash and Plotly, developed as part of the Data Analytics Bootcamp at Le Wagon Bordeaux. It allows users to visualize data, make real-time predictions, and explore various model insights.

analytics cachetools dash dashboard-application data-analysis data-science deployment gunicorn interactive-visualization machine-learning pandas plotly plotly-dash prediction-model python python3 render scikit-learn web-application

Last synced: 21 Nov 2024

https://github.com/baponkar/scikit-logisticregression-application

A simple and detail application analysis of sci kit learn LogisticRegression model .

classification-algorithm logistic-regression machine-learning python3 scikit-learn

Last synced: 27 Dec 2024

https://github.com/aldotestino/word-freq-email-classification

Simple email classifier using word frequency and Logistic Regression

docker email-classification fastapi logistic-regression python react scikit-learn

Last synced: 17 Nov 2024

https://github.com/anaconda/intel-green-ai

Code and Experimental Package attached to the article "Greener Machine Learning Computing with Intel AI Acceleration"

anaconda anaconda-environment green-ai machine-learning machine-learning-benchmarks scikit-learn scikit-learn-benchmarks

Last synced: 20 Nov 2024

https://github.com/icepanorama/internship-visualizations-and-demonstrations

A collection of some of the programs that I've written over the course of my internship.

artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn

Last synced: 06 Dec 2024

https://github.com/lc-rezende/eqx_boston_dataset

Exploratory data analysis, clustering, and forecasting on Boston crime data (2011-2015), revealing key crime trends, hotspots, and temporal patterns to support data-driven insights for urban safety and policing strategies.

data-analysis exploratory-data-analysis jupyter-notebook kmeans matplotlib numpy pandas prophet-facebook python scikit-learn seaborn

Last synced: 17 Nov 2024

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit

Last synced: 31 Dec 2024

https://github.com/ansh-info/industrial-scale-penicillin-simulation

Optimizing industrial-scale penicillin production using machine learning and data analysis.

jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 30 Nov 2024

https://github.com/bniladridas/sentiment-analysis

A sentiment analysis project using Naive Bayes in Python.

jupyter-notebook pandas python scikit-learn

Last synced: 20 Nov 2024

https://github.com/henrytseng/example_docker_scikit-learn

A quick example of using Scikit-Learn from a Docker container

docker scikit-learn

Last synced: 01 Dec 2024

https://github.com/radoslawregula/binary-classification-metrics

A model implementing a solution to the binary classification problem along with several accuracy metrics.

binary-classification classification jupyter-notebook machine-learning matplotlib pandas python scikit-learn stochastic-gradient-descent

Last synced: 20 Nov 2024

https://github.com/radoslawregula/iris-classification

Jupyter notebook implementing an efficient machine learning method to classify flowers from the Iris data set.

classification iris-dataset jupyter-notebook machine-learning python scikit-learn softmax-classifier

Last synced: 20 Nov 2024

https://github.com/radoslawregula/geo-music-classification

Jupyter notebook implementing a classification solution to the geographical origins of music problem.

classification jupyter-notebook machine-learning pandas python random-forest-classifier scikit-learn

Last synced: 20 Nov 2024

https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset

Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.

classification machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 07 Dec 2024

https://github.com/anty-filidor/cyberbullying-detector

NLP bullying detector for tweets with ML model training pipeline deployed as web-app with CICD

deployment-system flask-api machine-learning nlp python scikit-learn

Last synced: 01 Dec 2024

https://github.com/abhinavkumar2369/weather-now

Developed a weather prediction system using historical data to forecast Weather 🌤️ based on various factors like temprature 🌡️, humidity💧, dew point, rainfall 🌧️, wind speed💨.

flask mongodb numpy python scikit-learn weather-prediction

Last synced: 15 Dec 2024

https://github.com/serdaraydem1r/10dayaichallenge101

In the 10-day camp, we experienced the basics of machine learning by coding

artificial-intelligence machine-learning-algorithms model-evaluation-and-selection scikit-learn

Last synced: 22 Dec 2024

https://github.com/rtmigo/skifts_py

Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy

cosine-similarity information-retrieval numpy python scikit-learn text-mining tf-idf

Last synced: 01 Dec 2024

https://github.com/hayatiyrtgl/topic_modeling_sklearn_lda

Python code: Uses LDA for topic modeling on text data.

lda lda-model machine-learning nlp python scikit-learn sklearn topic-modeling

Last synced: 22 Dec 2024

https://github.com/wesleybertipaglia/data-science-small-business

📊 Undergraduate Data Science project for small businesses, covering data-driven solutions for optimizing operations, increasing efficiency, and driving growth. Includes descriptive, predictive, and prescriptive analytics, machine learning, and decision strategies.

business-intelligence data-science machine-learning matplotlib pandas python scikit-learn

Last synced: 17 Nov 2024

https://github.com/msikorski93/protein-tertiary-structure

Performing a regression task for estimating residue size based on given physicochemical properties of protein tertiary structures (CASP 5-9).

bioinformatics gradient-boosting multilayer-perceptron-network protein-structure-prediction regression-algorithms scikit-learn tensorflow

Last synced: 09 Jan 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/emms21/thoughtful_ai

Technical Screening: an agent that responds to semantically similar questions with pre-defined answers, falling back to generic LLM responses otherwise

openai python scikit-learn streamlit

Last synced: 21 Nov 2024

https://github.com/alchemine/diabetes-prediction

Diabetes Prediction and Analysis (NHIS-2018)

eda jupyter python scikit-learn streamlit

Last synced: 16 Jan 2025

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: 20 Nov 2024

https://github.com/armanx200/income-predictor

🔍✨ A machine learning project that predicts income based on various demographic factors using Random Forest and Gradient Boosting algorithms. Includes data preprocessing, hyperparameter tuning, and model evaluation with detailed performance metrics. 📊🤖

arman-kianian classification data-preprocessing data-science gradient-boosting hyperparameter-tuning income-prediction machine-learning python random-forest scikit-learn

Last synced: 24 Nov 2024

https://github.com/moeeinaali/nlp-lsa

Applying Latent Semantic Analysis (LSA) to text data using scikit-learn.

lsa nlp scikit-learn

Last synced: 17 Nov 2024

https://github.com/apal21/tensorflow-pima-indians-dataset-classification

Pima Indians Dataset classification using Tensorflow Linear Classifier and DNN Classifier.

classification deep-neural-networks kaggle linear-classifier pandas pima-indians-dataset scikit-learn tensorflow

Last synced: 31 Dec 2024

https://github.com/karimosman89/health-risk-assessment

Predict health risks based on patient data.Create a machine learning model that predicts health risks (like diabetes or heart disease) based on patient data.Help healthcare providers identify at-risk patients for early intervention.

ehr-data pandas python scikit-learn

Last synced: 18 Nov 2024

https://github.com/johnnixon6972/cirrhosis-outcomes-prediction

This leverages advanced machine learning techniques to predict patient outcomes for those suffering from cirrhosis. Utilizing a comprehensive dataset from a Mayo Clinic study, this project explores various data imputation methods and class balancing techniques to enhance prediction accuracy.

ai algorithms analytics artificial-intelligence machine-learning ml pandas python3 scikit-learn

Last synced: 17 Nov 2024

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/moanassiddiqui/handsonml_ml

This is the complete part I of the Hands-On Machine Learning book which was about the classical machine learning models.

hands-on machine-learning scikit-learn

Last synced: 17 Nov 2024

https://github.com/avik-pal/kaggle-titanic

Predicting whether a given set of people survive on the Titanic

machine-learning numpy pandas scikit-learn scikitlearn-machine-learning

Last synced: 20 Nov 2024

https://github.com/zsailer/skspline

A Scikit-learn interface on Scipy's spline.

scikit-learn scipy

Last synced: 22 Dec 2024

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/mnj-tothetop/english-handwritten-characters-recognizer

A handwritten english character recognizer [0-9, A-Z, a-z] made by using a Dataset of 3409 images. Tensorflow, Keras, Scikit-learn, and OpenCV was used to implement the Convolution Neural Network (CNN). Matplotlib and Seaborn were used to visualize the data.

artificial-intelligence convolutional-neural-networks keras matplotlib opencv-python scikit-learn seaborn tensorflow

Last synced: 20 Nov 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/sarincr/training-on-artificial-intelligence

Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training

artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn

Last synced: 20 Nov 2024

https://github.com/prakashjha1/customer-segmentation

This repository contains a customer segmentation project implemented in a Jupyter Notebook using Python. Customer segmentation is a crucial strategy for businesses aiming to understand their customer base better, enabling targeted marketing strategies and personalized customer experiences.

clustering-algorithm customer-segmentation kmeans-clustering matplotlib python scikit-learn seaborn

Last synced: 16 Jan 2025

https://github.com/m-muecke/text-normalizer

Text normalizer integration for sklearn.pipeline.Pipeline class

nlp nltk python scikit-learn

Last synced: 15 Dec 2024

https://github.com/lren-chuv/sklearn_to_pfa

Convert Scikit Learn models to PFA

pfa-standard scikit-learn

Last synced: 18 Nov 2024

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/rickyarians/ai-ml-nlp

Directory Machine Learning, Deep Learning, Artificial Int, Natural Language Processing Project

deep-learning machine-learning modeling python scikit-learn tensorflow

Last synced: 19 Nov 2024

https://github.com/himasnhu-at/freecodecamp--ml

ML Models I built for my freeCodeCamp's Machine Learning with Python certification

freecodecamp freecodecamp-project machine-learning machine-learning-algorithms matplotlib pandas python scikit-learn

Last synced: 06 Dec 2024

https://github.com/atharvapathak/size_estimator_project

This project in Python aims to provide a tool for estimating the size of objects in images or videos. Using computer vision techniques, the project analyzes the input media, detects objects of interest, and provides an estimation of their size based on known reference points or objects.

cicd cnn opencv python pytorch rnn scikit-learn sql tensorflow

Last synced: 15 Jan 2025

https://github.com/jt2m0l3y/quantified-self

The final project for an introduction to data science, this project is a practice in supervised machine learning with kNN and Decision Tree Classifiers.

data-visualization decision-trees eda jupyter-notebooks knn-classification latex markdown numpy pandas python scikit-learn statistical-analysis supervised-learning

Last synced: 27 Dec 2024

https://github.com/kumailn/machinelearning

Machine learning with Python

machine-learning python scikit-learn tensorflow

Last synced: 02 Jan 2025

https://github.com/lexxai/goit_python_ds_hw_04

Модуль 4. Класифікація та оцінка роботи моделі. Лінійна регресія: перенавчання та регуляризація

lasso-regression linear-regression numpy pandas python red regression ridge-regression scikit-learn

Last synced: 24 Nov 2024

https://github.com/lexxai/goit_python_ds_hw_03

Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.

latex linear-regression matplotlib numpy pandas python scikit-learn

Last synced: 24 Nov 2024

scikit-learn Awesome Lists
awesome-python-data-science 379 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 65 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