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An open API service indexing awesome lists of open source software.
scikit-learn
![](https://explore-feed.github.com/topics/scikit-learn/scikit-learn.png)
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
- GitHub: https://github.com/topics/scikit-learn
- Wikipedia: https://en.wikipedia.org/wiki/Scikit-learn
- Repo: https://github.com/scikit-learn/scikit-learn
- Created by: David Cournapeau
- Released: January 05, 2010
- Related Topics: scikit, python,
- Aliases: sklearn,
- Last updated: 2025-02-09 00:26:48 UTC
- JSON Representation
https://github.com/sahiltiwariiii/email-spam-classifier
This model will tell you weather mail is spam or not
dataanalysis datacleaning datascience eda machine-learning nlp-machine-learning nltk numpy pandas python scikit-learn streamlit streamlit-webapp tfidf-vectorizer wordcloud-visualization wordtovec
Last synced: 31 Dec 2024
https://github.com/ccastleberry/sk-autobots
Custom data transformers using the scikit-learn API.
scikit-learn sklearn sklearn-api
Last synced: 21 Dec 2024
https://github.com/apavazza/linux-distros
Popularity analysis of Linux distributions
arima autocorrelation data-science jupyter k-means-clustering linear-regression pca python random-forest-regression sarimax scikit-learn statistical-analysis statistical-models statistics time-series
Last synced: 16 Jan 2025
https://github.com/kirtipratihar/python_libraries_for_ds
This repository serves as a comprehensive guide to Python programming for Data Science. It covers essential topics like data manipulation, data visualization, machine learning, and statistical analysis using popular libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn tensorflow
Last synced: 23 Jan 2025
https://github.com/gfyoung/tree-decode
Package for removing the black-box around decision trees
blackbox decision-tree machine-learning python scikit-learn
Last synced: 21 Dec 2024
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/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/shubhamkarampure/asl-streamlit-signlingo
streamlit based web-app for teaching sign language through real-time hand gesture recognition.
learning-exercise mediapipe opencv-python python scikit-learn sign-language streamlit-webapp
Last synced: 21 Jan 2025
https://github.com/srilaasya/titanic-survival-prediction-using-knn-for-beginners
Titanic Survival Prediction using KNN for beginners
analysis knn-classification python scikit-learn titanic-survival-prediction visualization
Last synced: 25 Jan 2025
https://github.com/laoluadewoye/skloverlay
This repository is the official location of the SKLOverlay Project. Here, it will hold everything used for the package on Py Pi, including source files.
classification classification-algorithm data-science data-wrangling evaluation-metrics excel graphics graphs machine-learning machine-learning-algorithms matplotlib modeling pandas preprocessing scikit-learn
Last synced: 21 Dec 2024
https://github.com/daniel-furman/RecFeatureSelect
Feature selection functions (1) using the multi-collinearity matrix and recursively proceeding to a spearman threshold and (2) using Forward Stepwise Selection running on an ensemble sklearner (with options for HPO).
correlation-threshold machine-learning modeling multicollinearity recursion recursive-algorithm scikit-learn spearman-rho
Last synced: 20 Nov 2024
https://github.com/cplaza0997/py-ml
Machine learning
clustering linear-regression logistic-regression ml pyspark python scikit-learn sparkml
Last synced: 29 Dec 2024
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/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/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/hallowshaw/text-emotion-classification-using-lstm-and-tokenization
This repository provides a machine learning and deep learning pipeline for text emotion detection. It includes a pretrained LSTM model, tokenizer, and preprocessing steps to classify emotions such as joy, sadness, and anger from text input. Easily deployable with provided resources and scripts.
emotion-classification emotion-detection feature-engineering lstm nltk nltk-python scikit-learn scikitlearn-machine-learning sentiment-analysis sequential-models text-classification text-classification-multi-label tokenization tokenizer
Last synced: 29 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: 18 Jan 2025
https://github.com/msikorski93/seed-clustering
Performing basic clustering on a seeds dataset.
agglomerative clustering dbscan gaussian-mixture-model gmm mini-batch-kmeans scikit-learn seeds
Last synced: 09 Jan 2025
https://github.com/msikorski93/detecting-panic-disorder
Panic disorder detecting using machine learning techniques.
artificial-neural-networks classification knn logistic-regression machine-learning panic-disorder random-forest scikit-learn sgd svm tensorflow xgboost
Last synced: 09 Jan 2025
https://github.com/msikorski93/predicting-prices-on-king-county-housing-dataset
Predicting house prices using different regression analysis models.
catboost eda gradient-boosting king-county lightgbm linear-regression machine-learning neural-network polynomial-regression real-estate regression-models scikit-learn tensorflow xgboost
Last synced: 09 Jan 2025
https://github.com/elprofesoriqo/kagglecompetitions
Kaggle competitions projects
artificial-intelligence machine-learning python pytorch scikit-learn
Last synced: 09 Jan 2025
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/steciuk/lnr-hurftul-humor-detector
Hurtful Humor Detector
humor-detection machine-learning nlp prejudice python scikit-learn transformers
Last synced: 06 Jan 2025
https://github.com/aishwaryagm1999/insurance-workflow-management
This project is an Insurance Workflow Management System designed to streamline policy management, claims processing, and fraud detection. It includes user account management, customer feedback analysis via NLP, alert notifications through SMS, and a fraud detection model, providing a secure, efficient solution for insurance operations.
css fraud-detection html json labelimg machine-learning natural-language-processing nlp opencv python qr-code-generator random-forest-classifier scikit-learn sms-notification tensorflow textblob twilio user-interface
Last synced: 19 Jan 2025
https://github.com/srilaasya/handwriting-recognition-using-k-means
Used K-means clustering and scikit-learn to cluster images of handwritten digits.
handwriting-recognition k-means python scikit-learn
Last synced: 25 Jan 2025
https://github.com/srilaasya/breast-cancer-classifier
Used several Python libraries to make a K-Nearest Neighbor classifier that is trained to predict whether a patient has breast cancer
knearest-neighbor-classifier python scikit-learn
Last synced: 25 Jan 2025
https://github.com/minhtran241/ml-dl-llm-genai
Showcasing ML/DL fundamentals, paper implementations, deep learning models, and other projects. The purpose of this repository is to provide a playground for me to explore and learn about PyTorch, deep learning, and generative AI.
deep-learning generative-ai llm machine-learning paper-implementations pytorch scikit-learn
Last synced: 02 Feb 2025
https://github.com/tjpavii0809/classification-regression-models
Simple Predictive Model of Machine Learning
data-science numpy pandas scikit-learn supervised-learning
Last synced: 21 Dec 2024
https://github.com/gliuck/diabetesprediction
Machine learning exam project, focused on predicting diabetes based on health and demographic data. The project uses models like Logistic Regression, KNN, SVM and NN to analyze and predict the likelihood of diabetes in individuals.
machine-learning machine-learning-models numpy-library pandas-library prediction-model python scikit-learn
Last synced: 21 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/mahdibehoftadeh/polynomial-regression-co2-emissions
A simple machine learning polynomial regression using a large dataset to learn and predict CO2 emission of a car by its built features like engine size and cylinders
machine-learning matplotlib numpy nural-network pandas polynomial-regression python scikit-learn
Last synced: 21 Dec 2024
https://github.com/lemma-osu/sklearn-raster
Spatial raster prediction with scikit-learn estimators
Last synced: 16 Jan 2025
https://github.com/tnleite/loan-approval-prediction
Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.
classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier
Last synced: 29 Jan 2025
https://github.com/christianconchari/bike-sharing-demand
Este repositorio contiene el trabajo práctico final de la materia Aprendizaje de Máquina II de la Especialización en Inteligencia Artificial (CEIA) de la Facultad de Ingeniería de la Universidad de Buenos Aires (FIUBA).
airflow docker fastapi machine-learning mlflow python scikit-learn
Last synced: 21 Dec 2024
https://github.com/anjaliwork20/heart-failure-prediction
Heart Failure Prediction in Humans
failure-detection heart heart-disease machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning seaborn svc-model
Last synced: 21 Dec 2024
https://github.com/callesjuan/ninjalprm
Protótipo de ferramenta de agrupamento de dispositivos Android por geolocalização (Server)
Last synced: 24 Oct 2024
https://github.com/jingjing-jin/purchase-behavior-analysis
Purchase Behavior Analysis for Targeted Customer Segmentation
clustering-algorithm data-mining machine-learning python scikit-learn
Last synced: 21 Dec 2024
https://github.com/umasivakumar14/real_estate_ml_model
Predicts the price of a home in Bengaluru, Karnataka based on location, urbanization, total square feet, bedrooms, bathrooms, and balconies.
aws flask gridsearchcv http-requests machine-learning machine-learning-algorithms nginx pandas python scikit-learn
Last synced: 21 Dec 2024
https://github.com/ourahma/python-data-viz
This project focuses on data analysis and visualization to estimate used car prices. It includes preprocessing, statistical analysis, regression modeling, and visualizations to provide insights into the car pricing market.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 29 Jan 2025
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: 21 Jan 2025
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: 21 Jan 2025
https://github.com/nicolascoiado/nivel-mar
Este projeto realiza uma análise detalhada do nível médio global do mar (GMSL), utilizando uma base de dados pública que abrange medições históricas. O objetivo é explorar tendências, calcular a taxa média de elevação e visualizar os dados por meio de gráficos.
google-colab jupyter-notebook matplotlib numpy pandas python python3 scikit-learn
Last synced: 18 Jan 2025
https://github.com/amber-abuah/amazon-rating-predictor
MultinomialNB classifier for predicting Amazon review ratings.
beautifulsoup gradio imblearn machine-learning ml naive-bayes-classifier nlp nltk pandas scikit-learn sentiment-analysis sentiment-classification tf-idf
Last synced: 21 Dec 2024
https://github.com/aysh2603/credit-card-fraud-detection
The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.
ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit
Last synced: 21 Dec 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/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/petrosdemetrakopoulos/flight-passengers-prediction
A supervised learning problem given as a project in the "Data Mining in Databases and World Wide Web" course in Computer Science Department of AUEB in Winter semester of 2019.
classification classifier data-science machine-learning python scikit-learn sklearn university-project
Last synced: 29 Jan 2025
https://github.com/ksasi/boston_housing
Predicting Boston Housing Prices - Udacity
machine-learning numpy pandas python scikit-learn
Last synced: 01 Feb 2025
https://github.com/sergeimakarovv/ml-powerlifting
Predicting a weight lifted by athletes using Machine Learning
machine-learning pandas python scikit-learn
Last synced: 21 Dec 2024
https://github.com/udacity-machinelearning-internship/more-spam-classifying
Implementing more spam classifying using Ensemble Methods in python
classification jupyter jupyter-notebook machine-learning pandas python scikit-learn sklearn
Last synced: 24 Jan 2025
https://github.com/cego669/dirtycategoriesencoding
Repository containing two classes (StringAgglomerativeEncoder and StringDistanceEncoder) useful for grouping or visualizing the distance between dirty categorical variables. They are compatible with the scikit-learn API.
category clustering dimensionality-reduction dirty hierarchical-clustering machine-learning scikit-learn singular-value-decomposition svd
Last synced: 21 Dec 2024
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/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/hayatiyrtgl/ml_divorce_classification-with-5-models
The code performs data preprocessing, machine learning model training, evaluation, and model saving for a binary classification problem on the divorce dataset.
anket binary-classification classification keras keras-classification-models keras-neural-networks keras-tensorflow machine-learning machine-learning-algorithms machinelearning-python python pythonmachinelearning scikit-learn scikitlearn-machine-learning
Last synced: 22 Dec 2024
https://github.com/sarowarahmed/predicting-kolkata-house-price
🏠 Predicting Kolkata House Price: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to predict house prices in Kolkata. Deployed on Streamlit Cloud for easy access and real-time predictions.
app kolkata linear-regression machine-learning numpy pandas scikit-learn streamlit
Last synced: 21 Dec 2024
https://github.com/williyam-m/company-registration-trends
Utilized Linear Regression from scikit-learn to predict future company registration trends.
flask matplotlib numpy pandas-python scikit-learn
Last synced: 16 Jan 2025
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/aysh2603/twitter-sentiment-analysis
The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.
hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn
Last synced: 21 Dec 2024
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/wesleybertipaglia/data-science-small-business
Undergraduate Data Science project for small businesses, covering data-driven solutions for optimizing operations, increasing efficiency, and driving growth.
business-intelligence data-science machine-learning matplotlib pandas python scikit-learn
Last synced: 18 Jan 2025
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/thd-ai-2023/ain-b-3-assistant-systems
Assistance Systems Project is a web application that provides personalized health recommendations and data analysis. The frontend is built using Streamlit, and it integrates a chatbot developed with Rasa. Machine learning models created with scikit-learn are used to generate recommendations based on user input. The application is containerized with
chatbot data-analysis docker docker-compose machine-learning python rasa scikit-learn sklearn streamlit
Last synced: 29 Jan 2025
https://github.com/khanovico/python-stock-analyzer
This is a Webapp implemented by python and several data science frameworks, enabling online stock trend analyzing.
amcharts-js-charts data-analysis data-visualization flask javascript pandas python scikit-learn
Last synced: 21 Dec 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/umasivakumar14/f1imagerecognition
Predicts the F1 driver given in an image of their face.
crossvalidation flask gridsearchcv haar-cascade image-recognition machine-learning python scikit-learn seaborn wavelet-transform
Last synced: 18 Jan 2025
https://github.com/greatepee/book-recommendation-system
Book Recommendation System
collaborative-filtering cosine-similarity evaluation-metrics k-precision kaggle kaggledatasets mae numpy pandas python scikit-learn scipy svd svd-matrix-factorisation
Last synced: 18 Jan 2025
https://github.com/amiriiw/text_classification
Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.
keras numpy pandas pickle scikit-learn tensorflow text-classification
Last synced: 21 Dec 2024
https://github.com/stella4444/linear-regression
learning about linear regression (currently a work in progress) ~ working with data
linear-regression machine-learning numpy scikit-learn
Last synced: 21 Dec 2024
https://github.com/khruthwik/potato-disease-classification
Potato Disease Classification - Training, Rest APIs, and Frontend to test.
convolutional-neural-networks deep-learning docker fastapi flask javascript keras keras-tensorflow python pytorch reactjs scikit-learn tensorflow
Last synced: 20 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: 18 Jan 2025
https://github.com/eljandoubi/deploy-ml
Deploying a ML Model to Cloud Application Platform with FastAPI
ci-cd fastapi github-actions gunicorn pandas pytest render scikit-learn uvicorn
Last synced: 24 Jan 2025
https://github.com/nickklos10/seriea_machine_learning_predictions_2025
This project involves scraping data, processing the data, and building machine learning models to predict the standings for the 2024-2025 Serie-A season.
beatifulsoup data-scraping keras matplotlib pandas scikit-learn shap tensorflow
Last synced: 29 Jan 2025
https://github.com/manome/python-supervised-learning
This project provides sample code for performing supervised learning.
conformal-prediction scikit-learn supervised-learning
Last synced: 21 Dec 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: 29 Jan 2025
https://github.com/raulmaulidhino-dev/ml_modelling_regression
There are many factors that influence the grades/scores of students. One of the factors is study hours. In this mini analysis project, there are 3 models that will learn and predict the relation between study hours of students and their scores in an exam/test. This project will result the best ML model to solve the problem.
data data-analysis-python data-science eda machine-learning scikit-learn
Last synced: 21 Dec 2024
https://github.com/zsailer/skspline
A Scikit-learn interface on Scipy's spline.
Last synced: 22 Dec 2024
https://github.com/kriss024/anaconda-python-for-data-science
Anaconda Python 3.8.8 with TensorFlow 2 Docker image
anaconda3 data-science docker jupyter-notebook machine-learning pandas python python3 scikit-learn tensorflow2
Last synced: 25 Jan 2025
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: 21 Jan 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/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/g4brielvs/data-science-playground
Collection of data science and visualization exercises
boston-housing-dataset introduction-to-data-science plotly scikit-learn tensorflow
Last synced: 29 Jan 2025
https://github.com/chaitanya1436/student_performance_analysis
A project focused on analyzing college student performance using data on department, assessment scores, and performance labels. Implemented in Google Colab, the analysis includes data preprocessing, feature scaling, and exploratory data analysis to uncover insights and prepare the data for further analysis or modeling.
ata-preprocessing data-preparation exploratory-data-analysis feature-scaling google-colab numpy pandas scikit-learn
Last synced: 21 Dec 2024
https://github.com/jeus0522/7-explore-different-classifier-ml-app
A project exploring various classification algorithms, showcasing their implementation, comparison, and evaluation using Python and scikit-learn.
k-nearest-neighbours knn random-forest scikit-learn streamlit support-vector-machine svm
Last synced: 21 Dec 2024
https://github.com/adityajn105/machine-learning-algos
Different Algos Learn While Learning Machine-Learning
machine-learning-algorithms matplotlib-tutorial nltk pandas-tutorial scikit-learn scipy seaborn tensorflow-tutorials
Last synced: 16 Jan 2025
https://github.com/mylnikovdan/house_pricing
ml python scikit-learn visualization
Last synced: 21 Dec 2024
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/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/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/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/archie-cm/churn-analysis-ecommerce-customer
The objective of this project to is to predict customer churn, loss opportunity and provide recommendations to the business team so the company can implement a customer persona in retention strategy and can monitoring throught dashboard interactive.
data-science feature-engineering machine-learning python scikit-learn
Last synced: 20 Jan 2025
https://github.com/lefteris-souflas/modern-slavery-analysis
Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.
decision-tree feature-importance grid-search-cv imputation jupyter-notebook lasso-regression linear-regression matplotlib mean-absolute-error numpy pandas preprocessing principal-component-analysis python3 random-forest ridge-regression scikit-learn seaborn
Last synced: 12 Jan 2025
https://github.com/andriamahay11master/machinelearning
This project is created to practice supervised ML using the libraries existing in Python
linear-regression multiple-linear-regression python scikit-learn scikitlearn-machine-learning
Last synced: 22 Jan 2025
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/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/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/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 Jan 2025
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