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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/hassan11196/churn-nn

A simple Churn Predictor using Scikit's Multi-Layer Perceptron Classifier

jupyter-notebook machine-learning ml neural-network python scikit-learn

Last synced: 05 Jan 2025

https://github.com/charlescro/reddit-classification-nlp

Analyzing subreddit language via Reddit API and NLP techniques.

data-analysis data-science data-visualization nlp-machine-learning reddit-api scikit-learn

Last synced: 09 Feb 2025

https://github.com/pders01/telarantula

📜 I made this for Uni. Was pretty fun. It scrapes telegram channels of known German tinfoil-hats and tries to detect the telegram channel based on the emojis that are used.

assignment python research scikit-learn scrapy

Last synced: 07 Dec 2024

https://github.com/thekartikeyamishra/aipoweredmarketingassistant

AI-Powered Marketing Assistant, an advanced tool designed to enhance your digital marketing campaigns using the power of machine learning (ML) and large language models (LLMs). This project empowers small businesses and MSMEs to create compelling content, analyze campaigns, and strategize effectively.

artificial-intelligence llm matplotlib numpy openai pandas python scikit-learn streamlit

Last synced: 17 Feb 2025

https://github.com/thekartikeyamishra/predictive-sales-analytics

The Predictive Sales Analytics tool aims to help MSMEs forecast future sales using historical data. This advanced version leverages Machine Learning for accurate predictions and provides a dashboard to visualize sales trends, seasonality, and predictions.

joblib machine-learning matplotlib pandas python scikit-learn streamlit

Last synced: 17 Feb 2025

https://github.com/wesslen/dsba6211-summer2024

DSBA6211 Adv Business Analytics Lab Notebooks

scikit-learn teaching

Last synced: 13 Feb 2025

https://github.com/dayanoo/medicine-recommendation-system

The project aims to recommend medicines based on product uses similarity, side effects, and product review weightages. Powered by NLP techniques like TF-IDF and Cosine Similarity, the system provides intelligent and user-centric recommendations.

agentic-workflow aiagents api eda encoding flask langchain language-model medical-diagnosis-ai openai recommendation-system render-template scikit-learn sklearn-library

Last synced: 09 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: 13 Feb 2025

https://github.com/sauravokos/deep-learning

Repository on private project concerning Deep Learning through multilevel neural networks

keras numpy pillow python python-3-5 scikit-image scikit-learn scipy tensorflow tensorflow-examples tkinter tkinter-graphic-interface

Last synced: 24 Jan 2025

https://github.com/mark-mdo47/family-machine-learning-project-2017

We are doing a two-part Machine Learning project this summer with SciKit-Learn and Keras/TensorFlow

machine-learning python scikit-learn tensorflow

Last synced: 22 Jan 2025

https://github.com/altescy/xsklearn

Expanded scikit-learn for my research

python scikit-learn

Last synced: 26 Jan 2025

https://github.com/ramyacp14/sentimentanalysis

Implements a sentiment analysis model to determine the emotional tone behind text, helping understand attitudes, opinions, and emotions in online mentions.

machine-learning natural-language-processing nltk numpy pandas python scikit-learn

Last synced: 13 Jan 2025

https://github.com/roovedot/house-price-predictions-with-random-forest-regression-model

Applying Machine Learning Regression Model to Predict Housing Prices for Kaggle "Housing Prices Competition for Kaggle Learn Users".

machine-learning pandas random-forest-regression scikit-learn

Last synced: 13 Feb 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/pratishtha-abrol/sentimentanalysis

Logistic Regression: A sentiment analysis case study

logistic-regression nltk-python scikit-learn sentiment-analysis

Last synced: 05 Feb 2025

https://github.com/raju-2003/indiaai-cyberguard-ai-hackathon

An NLP-powered system to simplify cybercrime reporting by analyzing descriptions, categorizing incidents, and providing actionable insights.

matplotlib nltk numpy pandas python random-forest-classifier re scikit-learn seaborn shap spacy wordcloud

Last synced: 23 Jan 2025

https://github.com/orliluq/inmersion-datos-python

Desarrollar modelos de machine learning para predecir la probabilidad de incumplimiento crediticio de los clientes, utilizando diferentes algoritmos de clasificación (Regresión Logística, Árboles de Decisión, Random Forest, Naive Bayes).

colab-notebook numpy pandas python scikit-learn

Last synced: 30 Jan 2025

https://github.com/purcellcjp/credit-risk-classification

This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.

machine-learning numpy pandas-dataframe python scikit-learn

Last synced: 23 Jan 2025

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: 13 Feb 2025

https://github.com/bastianlq/gym-prediccion-churn-y-agrupacion-clustering

Predicción de churn, agrupación de clientes mediante clustering y recomendaciones de marketing para gym

aprendizaje-automatico clustering machine-learning scikit-learn

Last synced: 23 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: 13 Feb 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/joseprsm/nectarine

🍑 Neural Enhanced Collaborative Tool for Automated Recommendation and INtelligent Exploration

argo-workflows recommender-systems scikit-learn tensorflow tensorflow-recommenders

Last synced: 17 Feb 2025

https://github.com/anrsgrl/regressions

This project contains examples of Linear, Polynomial, and Logistic Regression models implemented using Python. Explore how different regression techniques can be applied to various datasets 🤖

deep-learning linear-regression logistic-regression mahine-learning polynomial-regression regression scikit-learn

Last synced: 13 Feb 2025

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

The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.

matplotlib numpy python scikit-learn tensorflow

Last synced: 29 Jan 2025

https://github.com/joseprsm/xtrax

⛏️ Extracting features from interactions with JAX and Scikit-Learn

jax scikit-learn

Last synced: 17 Feb 2025

https://github.com/callesjuan/ninjalprm

Protótipo de ferramenta de agrupamento de dispositivos Android por geolocalização (Server)

python scikit-learn xmpp

Last synced: 24 Oct 2024

https://github.com/svetlanam/pycon-workshop

Pycon CZ workshop: Better data analyses and product recommendations with Instagram data

data-analysis data-science martinus matplotlib pandas pycon2016 pyconcz python scikit-learn workshop

Last synced: 13 Jan 2025

https://github.com/lorenzorottigni/dl-houses

Deep Learning python bootcamp: exploratory data analysis & deep learning on houses price dataset

deep-learning ipynb machine-learning numpy pandas python scikit-learn seaborn tensorflow

Last synced: 30 Jan 2025

https://github.com/lorenzorottigni/ml-universities

Machine Learning python bootcamp: K mean clustering with public/private universities dataset

k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn

Last synced: 30 Jan 2025

https://github.com/lorenzorottigni/ml-spam-filter

Machine Learning python bootcamp: natural language processing with spam filter purposes

machine-learning npl numpy pandas python scikit-learn seaborn spam-filtering

Last synced: 30 Jan 2025

https://github.com/lorenzorottigni/ml-yelp-reviews

Machine Learning python bootcamp: natural language processing on Yelp reviews

machine-learning nlp numpy pandas python scikit-learn seaborn

Last synced: 30 Jan 2025

https://github.com/arjunan-k/medical_insurance

Project to analyze and forecast medical insurance costs of patients using data science framework.

medical-insurance scikit-learn tableau

Last synced: 09 Jan 2025

https://github.com/andresmg07/real-time-sign-language-translator

AI-driven real-time American Sign Language translator. Implemented leveraging Support Vector Machines (SVM), OpenCV library and MediaPipe hands module.

ai computer-vision machine-learning mediapipe opencv pattern-recognition scikit-learn support-vector-machines

Last synced: 23 Jan 2025

https://github.com/kalelmartinho/imersao_dados_3

Terceira edição da Imersão Dados da Alura. O projeto foi inspirado em um desafio do Laboratory innovation science at Harvard disponibilizando os dados em uma competição no kaggle.

alura data-science imersaodados imersaodados3 pandas python3 scikit-learn

Last synced: 13 Jan 2025

https://github.com/marknature/machine-learning-intern

Machine Learning tasks involving the Titanic Dataset and Breast Cancer Wisconsin (Diagnostic) dataset

data-analysis github jupiter-notebook machine-learning matplotlib numpy pandas python scikit-learn sklearn

Last synced: 13 Jan 2025

https://github.com/lucs1590/commom_segmentations

The purpose of this repository is to document and expose code samples using common threading techniques.

computational-vision machine-learning open-source opencv python scikit-image scikit-learn segmentation sklearn

Last synced: 13 Jan 2025

https://github.com/rririanto/thesis-projects

The computer science thesis project that I worked on when I was a student and was looking for a part time job

bag machine-learning python2 python27 scikit-learn surf

Last synced: 20 Jan 2025

https://github.com/davidyslu/pokemonrecognition

Recognize Pokemon's image using scikit-learn in Python

knn-model python scikit-learn svm-model

Last synced: 17 Feb 2025

https://github.com/nfordumass/nbafinalsmvp_ml

A python machine learning analysis of who should've won NBA Finals MVP each year.

jupyter-notebook machine-learning python scikit-learn

Last synced: 02 Feb 2025

https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression

Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.

deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 17 Feb 2025

https://github.com/rakibhhridoy/visualmachinelearning-yellowbrick

Yellowbrick wraps the scikit-learn and matplotlib to create publication-ready figures and interactive data explorations. It is a diagnostic visualization platform for machine learning that allows us to steer the model selection process by helping to evaluate the performance, stability, and predictive value of our models and further assist in diagnosing the problems in our workflow.

classification hyperparameter-tuning machine-learning model-evaluation model-view-presenter model-visualization python random-forest random-forest-classifier scikit-learn visualization xgboost xgboost-algorithm yellowbrick

Last synced: 17 Feb 2025

https://github.com/rakibhhridoy/customersegmentation-clustering

Customer segmentation heavily use in business purpose. It is needed skill for business intelligence and applied machine learning engineer. This represent quite basic way the customer segmentation is done. In python the task is quite easy to do.

agglomerative-clustering clustering-algorithm customer ecommerce kmeans-clustering machine-learning scikit-learn scikitlearn-machine-learning segmentation unsupervised-learning unsupervised-machine-learning

Last synced: 17 Feb 2025

https://github.com/otuemre/housepricingml

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression

Last synced: 29 Jan 2025

https://github.com/rakibhhridoy/breastcanceranalysis-classificationclustering

Breast cancer prediction both in classification and clustering method for better understanding the data. Though clustering is different from classification,to finding the key aspect the data have,sometimes we need every possible way to catch behavior of the data.

breast-cancer-prediction breastcancer-classification classification classification-algorithm clustering eda hyperparameter-optimization machine-learning python scikit-learn supervised-learning unsupervised-learning

Last synced: 17 Feb 2025

https://github.com/rakibhhridoy/differentprojects

Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!

data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics

Last synced: 17 Feb 2025

https://github.com/archish27/pythontutorial

Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications

matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup

Last synced: 20 Jan 2025

https://github.com/abdullahashfaq-ds/sms-spam-detection

A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.

css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost

Last synced: 17 Dec 2024

https://github.com/kheriberto/knn_project

This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.

data-analysis knn-classifier numpy python scikit-learn seaborn

Last synced: 02 Feb 2025

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: 02 Feb 2025

https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-

The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.

data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn

Last synced: 17 Feb 2025

https://github.com/sridharyadav07/machine-learning-project-combined-cycle-power-plant-

This project is focused on Multiple machine learning models, including Linear Regression, Decision Tree Regression, and Random Forest Regression, were implemented to predict the target variable and evaluated using various metrics like RMSE, MAE, and R-squared. The performance of these models was compared, and the Random Forest Regressor was found.

data-processing decisiontreeregressor linear-regression metrics-evaluation python random-forest-regressor scikit-learn

Last synced: 17 Feb 2025

https://github.com/tamk-kol/project_orbital_data_analysis

The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.

matplotlib numpy pandas scikit-learn

Last synced: 31 Oct 2024

https://github.com/tedim52/discjockey

a content-based recommender system for your party playlist preferences

jupyter-notebook matplotlib pandas scikit-learn spotify-web-api

Last synced: 05 Feb 2025

https://github.com/cnoret/hexa-watts

Interactive data visualization and machine learning app for energy consumption analysis and prediction in France, built with Streamlit. (Text in French)

data-visualization electricity-forecasting energy-analysis france machine-learning scikit-learn streamlit

Last synced: 09 Feb 2025

https://github.com/samjoesilvano/airline_ticket_fare_prediction

Airline Fare Prediction using Machine Learning focuses on developing a Random Forest model to predict flight prices, achieving an R² score of 0.804. The project includes hyperparameter tuning using RandomizedSearchCV, alongside extensive data preprocessing and feature engineering to ensure robust model performance.

airline-fare-prediction data-preprocessing data-visualization feature-engineering feature-selection hyperparameter-tuning machine-learning pandas python random-forest randomizedsearchcv regression-analysis scikit-learn

Last synced: 26 Jan 2025

https://github.com/samjoesilvano/password_strength_prediction_using_nlp

Developed a predictive model to categorize passwords as Strong, Good, or Weak, enhancing security and reducing breach risks. The project involves cleaning and analyzing data from an SQL database, using the TF-IDF technique for transformation, and implementing a Logistic Regression model to achieve accurate classifications.

data-analysis data-classification data-cleaning data-visualization logistic-regression machine-learning natural-language-processing pandas password-security password-strength python scikit-learn sql tf-idf

Last synced: 26 Jan 2025

https://github.com/cmdecker95/learning-ml

My first foray into machine learning, comprised of my early undergrad work (circa 2021-2022) 🤓

jupyter-notebook keras machine-learning scikit-learn tensorflow2

Last synced: 14 Feb 2025

https://github.com/s0fft/airline-passenger-satisfaction

Airline-Customer-Model — Machine Learning Project on: Scikit-learn / Pandas / Matplotlib / Seaborn

jupyter-notebook mashine-learning matplotlib pandas python3 scikit-learn seaborn

Last synced: 31 Oct 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: 02 Feb 2025

https://github.com/sudarshanc00/smishing

This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.

nltk numpy pandas python scikit-learn scipy

Last synced: 20 Jan 2025

https://github.com/themihirmathur/mihir-clickpost-data-science-intern-round-1-assignment-submission

The objective of this project is to predict the predicted_exact_sla, which is the number of days between the shipment and delivery of an order, using historical shipment data.

data-science machine-learning pandas python random-forest-regression scikit-learn

Last synced: 16 Feb 2025

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: 19 Jan 2025

https://github.com/sasank-sasi/subtheme-sentiment-analysis-for-review

"Comprehensive Subtheme Sentiment Analysis of Customer Reviews Using Advanced NLP Techniques"

matplotlib natural-language-processing nltk plotly python scikit-learn spacy vader-sentiment-analysis

Last synced: 02 Feb 2025

https://github.com/sshbuilder/movie-recommendation-system

The primary goal of this project is to provide personalized movie recommendations to users based on their preferences and the characteristics of the movies. This is achieved through a multi-step process involving data preprocessing, text vectorization, and recommendation generation.

anaconda-environment data-science jupyter-notebook machine-learning movie-recommendation movies pandas python3 recommendation-system recommender-system scikit-learn scikitlearn-machine-learning

Last synced: 09 Jan 2025

https://github.com/kristishqau/sentimentanalysis_nlp

A project for sentiment analysis of tweets using various NLP techniques and machine learning models.

datascience jupyter-notebook machine-learning nlp nltk python scikit-learn sentiment-analysis xgboost

Last synced: 13 Feb 2025

https://github.com/raphael-ufrj/analise_algodao

Análise histórica de plantio de algodão, analise do plantio com base no clima e nos dados históricos.

analysis data-science data-visualization dataset docker pandas provenance python python3 scikit-learn seaborn streamlit

Last synced: 06 Feb 2025

https://github.com/albarji/teachingcontainer

A Docker container I use for my lectures

docker keras machine-learning scikit-learn

Last synced: 09 Feb 2025

https://github.com/antonio-f/housing-simplemlexample

Basic example with California Housing Prices dataset from the StatLib repository using scikit-learn

housing-simplemlexample machine-learning scikit-learn simple

Last synced: 06 Feb 2025

https://github.com/santiago-giordano/datascienceproject

Data Science Course Project: Causes of death around the world

apis jupyter-notebook matplotlib pandas python scikit-learn seaborn

Last synced: 02 Feb 2025

https://github.com/samudraneel05/stanford-open-policing

The Stanford Open Policing Project (SOPP) aims to bring transparency to police interactions by collecting and analyzing data on traffic stops across the United States. It accumulates a vast dataset on traffic stops, encompassing details such as demographics, location, and outcomes.

clustering heirarchical-clustering k-means-clustering machine-learning matplotlib pandas python scikit-learn

Last synced: 26 Jan 2025

https://github.com/samp1012/email_sms_spam_detector

An Email/SMS spam classifier that aims to identify and distinguish between spam and non-spam messages.

multinomial-naive-bayes naive-bayes-classifier natural-language-processing numpy pandas python scikit-learn spam-detection text-vectorization tokenization

Last synced: 12 Feb 2025

scikit-learn Awesome Lists
awesome-python-data-science 379 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 68 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