Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
scikit-learn
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: 2025-01-08 00:22:48 UTC
- JSON Representation
https://github.com/kr1shnasomani/greendetect
Detection of plant diseases using CNN (ResNet50 architecture)
computer-vision deep-learning keras neural-network numpy opencv pandas scikit-learn seaborn tensorflow
Last synced: 19 Dec 2024
https://github.com/i-am-nolan25/bells-palsy-ml-research
A Machine Learning Model to Grade the Severity of Bell's Palsy
artificial-intelligence dlib healthtech jupyter-notebook machine-learning matplotlib numpy opencv pandas python research scikit-learn scipy
Last synced: 16 Nov 2024
https://github.com/burhanahmed1/data-analysis-with-python
Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.
data-analysis data-aquisition data-insights data-science data-wrangling dataanalytics datascience-machinelearning eda exploratory-data-analysis machine-learning-models matlpotlib numpy pandas practice-programming prediction-model python scikit-learn scikitlearn-machine-learning seaborn
Last synced: 06 Jan 2025
https://github.com/kingabzpro/github-actions-for-machine-learning-beginners
A project on automating ML workflow using scikit-learn pipelines, CML, and GitHub actions.
cml github-actions machine-learning mlops scikit-learn
Last synced: 17 Nov 2024
https://github.com/sralter/classifire
Wildfire Prediction Model: Samuel Alter's BrainStation 2023 Data Science Capstone Project
Last synced: 17 Nov 2024
https://github.com/sralter/happy_customers
Predicting whether a customer is happy based on the results from a survey.
eda ensemble-classifier hyperopt lazypredict ml scikit-learn
Last synced: 17 Nov 2024
https://github.com/kingabzpro/ml-workflow-orchestration-with-prefect
An introductory project to streamline the machine learning pipeline using Prefect and Discord Notifications, from data ingestion to model saving
discord mlops prefect scikit-learn
Last synced: 17 Nov 2024
https://github.com/gauravsingh9356/machine_learning
All my practical learning work involved in MACHINE LEARNING (Data Processing to Deep Learning)
deep-learning jupyter-notebook machine-learning machine-learning-algorithms nlp-machine-learning python scikit-learn
Last synced: 02 Jan 2025
https://github.com/jpcadena/classification-tweets-national-security-ecuador
Classification of Tweets about national security at Ecuador 2022
classification classification-model data-analysis data-science ecuador insecurity machine-learning natural-language-processing nlp nltk numpy pandas python pytorch scikit-learn snscrape supervised-learning tensorflow tweet twitter
Last synced: 15 Nov 2024
https://github.com/tavneetsingh01/digital-image-processing-dip-practicals
This repository contains Image Processing Practicals done using various python libraries.
digitalimageproccessing dip image-processing jupyter-notebook matplotlib open-source opencv pillow practicals python scikit-learn
Last synced: 23 Nov 2024
https://github.com/jpcadena/onemetric-plus
OneMetric+ project for analytical tool on demand forecast and outlier detection
black-formatter data-analysis data-analytics data-science data-visualization demand-forecasting isort machine-learning matplotlib mypy numpy outlier-detection pandas pre-commit-hook pydantic python ruff scikit-learn seaborn solid-principles
Last synced: 15 Nov 2024
https://github.com/shubhranpara/heart-disease-predictor
I have created this project as my Python term assignment. In this project I have trained a ML model to predict the heart disease using Scikit-learn library in python.
google-colab jupyter-notebook machine-learning medical prediction-model python scikit-learn
Last synced: 02 Jan 2025
https://github.com/anoopgeorge418/my-learnings
Learning Topics Related Data-Science and Web-Development From Complete Scratch.
bokeh bootstrap css folium html matplotlib numpy pandas plotly python scikit-learn seaborn
Last synced: 07 Jan 2025
https://github.com/jalfr3d/wikipedia-chatbot
Simple wiki chatbot without UI
chatbot-python machine-learning nltk-python python python-bot scikit-learn wikipedia-chatbot wikipedia-library
Last synced: 08 Jan 2025
https://github.com/vidyasagarmsc/pydataflownote
As I explore Python libraries....
jupyter-notebook numpy python pytorch scikit-learn scipy tensorflow
Last synced: 17 Nov 2024
https://github.com/jbayardo/aa-tp1
Machine learning on spam
email-classifier jupyter-notebook numpy pandas python scikit-learn spam-filtering text-processing
Last synced: 07 Dec 2024
https://github.com/sanjaradylov/scikit-fallback
Machine Learning with a Reject Option
fallback-classification machine-learning scikit-learn selective-classification
Last synced: 11 Oct 2024
https://github.com/jordandeklerk/pygridge
A scikit-learn compatible Python package for data-driven group regularized ridge regression
python regression regularized-regression scikit-learn
Last synced: 19 Dec 2024
https://github.com/hayatoy/gcpml-notebook
Dockerfile with Jupyter Machine Learning environment plus Google Cloud SDK
dockerfile google-cloud-platform jupyter scikit-learn tensorflow
Last synced: 02 Jan 2025
https://github.com/chrislemke/scikit-tabtrans
TabTransformer ready for Scikit learn 🧑🔬
deep-learning machine-learning python scikit-learn transformer
Last synced: 09 Nov 2024
https://github.com/ahmedshahriar/pulsepoint-data-analytics
EDA, data processing, cleaning and extensive geospatial analysis on a selenium based web scraped dataset
clustering data-science data-visualization folium folium-choropleth-map folium-map folium-python geopy hierarchical-clustering jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas plotly-python python scikit-learn seaborn wordcloud
Last synced: 16 Nov 2024
https://github.com/alisonmitchell/boston-housing
Investigation of the Boston housing dataset to evaluate, train and test a regression model to predict house prices.
data-science machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn
Last synced: 15 Nov 2024
https://github.com/ahmedshahriar/housing-price-prediction
Data science project on Housing Prices Dataset regression analysis
decision-tree-regression deep-neural-networks gradient-boosting house-price-prediction housing-prices keras knn-regression lasso-regression lgbmregressor matplotlib pandas randomforestregressor regression ridge-regression scikit-learn scipy tensorflow xgboost-regression
Last synced: 16 Nov 2024
https://github.com/ahmedshahriar/telco-customer-churn-prediction-streamlit-app
This streamlit app predicts the churn rate using Gradient Boosting models (XGBoost, Catboost, LightGBM) on IBM Customer Churn Dataset
binary-classification binary-classifiers data-science jupyter-notebook machine-learning pandas python scikit-learn sklearn stacking-ensemble streamlit streamlit-webapp
Last synced: 16 Nov 2024
https://github.com/lechemi/machine-learning-vademecum
Un notebook contenente nozioni di base ed esempi pratici in python sul machine learning.
machine-learning python scikit-learn
Last synced: 19 Dec 2024
https://github.com/haloapping/ml-with-me
Kalo dengar istilah ML, biasanya rada ambigu. Soalnya punya beberapa kepanjangan, seperti Mobile Legend, Makan Lontong, dan lain-lain. Tapi pada repo ini membahas Machine Learning :)
ml pusing python3 scikit-learn stress tau-ah-gelap
Last synced: 06 Jan 2025
https://github.com/sanskaryo/churn-prediction-using_ann
Banking customer churn prediction using ann
artificial-neural-networks churn-prediction customer keras python scikit-learn streamlit tensorflow
Last synced: 25 Dec 2024
https://github.com/tansudasli/analytics-sandbox
from Statistical approach to Machine learning
feature-engineering machine-learning matplotlib numpy opencv pandas probability regex scikit-learn seaborn statistics
Last synced: 12 Nov 2024
https://github.com/haloapping/ml-workflow
Template alur kerja machine learning.
mahine-learning numpy pandas python3 scikit-learn
Last synced: 06 Jan 2025
https://github.com/franpog859/titanic-competition
❄️🚢 Machine Learning project workflow reference. Model predicts if given people survive the Titanic disaster basing on among others their age, sex and names
classification data-science kaggle machine-learning scikit-learn titanic workflow
Last synced: 12 Nov 2024
https://github.com/ayuhamaro/py_weight_estimation
體重變化預估
matplotlib numpy pandas python3 scikit-learn scipy
Last synced: 14 Nov 2024
https://github.com/vatshayan/hospital-discharge-analysis
Analysis of Hospitalization Discharge Rates in Lake County, Illinois of various attributes like Anxiety, Alcohol, mood, Diabetes, Asthma, etc
data-analysis data-visualization jupyter-notebook machine machine-learning machine-learning-algorithms scikit-learn
Last synced: 15 Nov 2024
https://github.com/witch-world/iris-flower-classification-decision-tree-classifier
ai algorithms artificial-intelligence decision-tree decision-tree-classifier machine-learning machine-learning-algorithms machinelearning-python matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-python python python3 scikit-learn
Last synced: 15 Nov 2024
https://github.com/mpolinowski/manifold-learning-for-image-segmentation
Use Manifold Learning, Mapping and Discriminant Analysis to Visualize Image Datasets
fisher-discriminant-analysis image-segmentation isomap locally-linear-embedding principal-component-analysis python scikit-learn
Last synced: 30 Nov 2024
https://github.com/udityamerit/all_mlpackages
The `all_MLpackage` is a Python tool for breast cancer detection using scikit-learn's machine learning algorithms. It automates model training, generates accuracy comparisons, and helps identify the best-performing algorithm for diagnosis.
classification knn-algorithm logistic-regression machine-learning numpy pandas scikit-learn svm-model
Last synced: 31 Oct 2024
https://github.com/ta7ar/precis
Scrape news articles and summarize them using NLP
flask javascript latent-semantic-analysis latent-semantic-indexing mongodb natural-language-processing nltk python react scikit-learn
Last synced: 16 Nov 2024
https://github.com/3rd-son/knn-breast-cancer-prediction-model-
A breast cancer prediction model using KNN with an accuracy of 96%
jupyter-notebook knn-classifier matplotlib numpy pandas python scikit-learn scipy search
Last synced: 28 Dec 2024
https://github.com/mpolinowski/isometric-mapping
Non-linear dimensionality reduction through Isometric Mapping
isomap matplotlib-pyplot python scikit-learn
Last synced: 30 Nov 2024
https://github.com/weisscharlesj/scicompchem_jupyterbook
Scientific Computing for Chemists Jupyter Book
book chemistry jupyter jupyter-lab matplot nmrglue numpy pandas python scikit-image scikit-learn scipy seaborn textbook
Last synced: 27 Dec 2024
https://github.com/bhimrazy/iris-species-prediction-using-decision-tree-algorithm-grip
Iris Species Intelligence: Classifying Iris Species with Confidence using Decision Trees | The Sparks Foundation: GRIP
decision-tree-classifier fastapi gripjan23 machine-learning python scikit-learn sparkfoundation
Last synced: 16 Nov 2024
https://github.com/ayberkyavuz/ml_model_server_docker_deployment
This repository is for containing source codes of machine learning model server deployment.
deployment docker flask machine-learning model python random-forest scikit-learn
Last synced: 06 Dec 2024
https://github.com/nikhiljsk/generic_regression_algo
A Python template to evaluate different regression models on a dataset. Includes metrics to cross-compare models on the data. Assumes the data to be numeric.
dataset generic machine-learning prediction python3 regression scikit-learn seaborn supervised-learning
Last synced: 16 Nov 2024
https://github.com/kohlerhector/trex-tree-reward-exploration
Using Tree estimators of the MDP models to then count leaves grouping similar transitions and do count-based exploration.
decision-trees drl exploration rl scikit-learn stable-baselines3
Last synced: 30 Dec 2024
https://github.com/tynab/animal-chess
Animal Chess
a-star a-star-algorithm animal-chess bfs bfs-algorithm board-game breadth-first-search breadth-first-search-algorithm chess chess-game cnn deep-learning game keras numpy pandas scikit-learn search-algorithm sklearn tensorflow
Last synced: 07 Dec 2024
https://github.com/ryanfranklin237/heart-disease-prediction
A trained machine learning model that classifies whether a patient has heart disease based on symptoms
artificial-intelligence data-science jupyter-notebooks logistic-regression machine-learning python scikit-learn
Last synced: 12 Nov 2024
https://github.com/tynab/descriptive-statistics
CyberSoft Machine Learning 03 - Descriptive Statistics
anaconda anaconda-navigator cybersoft-academy cybersoft-academy-machine-learning cybersoft-academy-ml cybersoft-machine-learning cybersoft-ml descriptive-statistics jupyter-notebook labelencoder machine-learning mathplotlib numpy onehotencoding pandas python scikit-learn scipy seaborn sklearn
Last synced: 07 Dec 2024
https://github.com/saman-nia/multiclass-classification
Deep Learning VS. Machine learning
classification deep-learning logistic-regression multi-class-classification multi-classify-with-tensorflow one-vs-rest scikit-learn tensorflow text-features
Last synced: 13 Nov 2024
https://github.com/fohlen/stats-experiment
A tiny stats experiment with GENESIS data
matplotlib python3 scikit-learn
Last synced: 22 Nov 2024
https://github.com/george-gca/ai_papers_search_tool
Automatic paper clustering and search tool by fastext from Facebook Research
fasttext fasttext-embeddings fasttext-python nlp python scikit-learn
Last synced: 14 Nov 2024
https://github.com/aarryasutar/prodigy_ds_internship
Prodigy InfoTech Data Science Internship Tasks
bank-marketing-analysis barchart data-science eda exploratory-data-analysis heatmap histogram internships matplotlib pandas prodigy-infotech pyplot python scikit-learn seaborn sentiment-analysis
Last synced: 13 Nov 2024
https://github.com/stevenrice99/llm-forecast
Hybridized Pandemic Forecasting Utilizing Large Language Models and Analytical Methods
arima arima-forecasting arima-model forecast forecasting forecasting-model forecasting-models large-language-model large-language-models llm prediction-model predictive-analytics predictive-modeling prompt-engineering python python3 regression scikit-learn support-vector-regression svr
Last synced: 15 Nov 2024
https://github.com/rekha0suthar/e-commerce-shopper-s-behaviour-understanding
Understand the online shopper purchasing pattern through Machine learning
data-analysis data-preprocessing data-visualization logistic-regression machine-learning numpy pandas python3 scikit-learn seaborn-plots
Last synced: 05 Dec 2024
https://github.com/tynab/inferential-statistics
CyberSoft Machine Learning 03 - Inferential Statistics
anaconda anaconda-navigator cybersoft cybersoft-academy inferential-statistics ipynb jupyter-notebook machine-learning machine-learning-03 matplotlib ml ml-03 numpy pandas py python scikit-learn scipy seaborn sklearn
Last synced: 13 Nov 2024
https://github.com/tynab/lottery
Xổ số kiến thiết
crawl da data-analyst deep-learning dl jupyter-notebook lottery matplotlib numpy pandas pip pip3 py python scikit-learn sklearn tynab xo-so xo-so-kien-thiet yan
Last synced: 07 Dec 2024
https://github.com/kostasereksonas/ids_test
Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.
ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow
Last synced: 16 Nov 2024
https://github.com/metriccoders/metriccoders_datasets
This is the Metric Coders repository containing all the datasets for machine learning.
data datasets machine-learning natural-language-processing scikit-learn
Last synced: 29 Dec 2024
https://github.com/soroush-04/incrementalsvm-road-accident-prediction
Enhance SVM and incremental SVM machine learning models for road accident severity prediction
incremental-learning machine-learning python scikit-learn svm
Last synced: 13 Nov 2024
https://github.com/tynab/machine-learning-overview
CyberSoft Machine Learning 03 - Overview
elasticnet-regression jupyter-notebook k-nearest-neighbours knn knn-classification label-encoder lasso-regression linear-regression logistic-regression machine-learning matplotlib numpy one-hot-encoder ordinal-encoder pandas ridge-regression scikit-learn scipy seaborn sklearn
Last synced: 07 Dec 2024
https://github.com/kookmin-sw/capstone-2023-29
자리있어? - 경기도 광역버스 좌석예측 시스템
fastapi lstm postgresql python3 pytorch react scikit-learn sqlalchemy
Last synced: 13 Nov 2024
https://github.com/vectominist/mednlp
Mandarin Medical Dialogue Analysis with Pytorch.
dialog huggingface mandarin medical pytorch scikit-learn transformers
Last synced: 02 Dec 2024
https://github.com/myahninsi/customer-segmentation-recommendation-ml
This project addressed challenges in understanding customer behavior and personalizing shopping experiences for an e-commerce platform. Developed ML solutions including K-Means clustering for segmentation, Random Forest regression for CLV prediction, and collaborative filtering for product recommendations.
collaborative-filtering k-means-clustering pandas python random-forest scikit-learn
Last synced: 30 Dec 2024
https://github.com/csengupta1101/housing-price-prediction
Based on given features , this project deals with the prediction of house prices. From data extraction till deployment , everything is detailed in here.
jupyter-notebook matplotlib numpy pandas python python3 scikit-learn vscode
Last synced: 29 Dec 2024
https://github.com/sundarmd/breast-cancer-detection
Breast-Cancer-Detection is a machine learning project that utilizes logistic regression to predict whether a tumor is benign or malignant based on the Breast Cancer Wisconsin (Diagnostic) dataset. The project demonstrates data preprocessing, model training, and evaluation using the `scikit-learn` library.
logistic-regression machine-learning python scikit-learn
Last synced: 30 Dec 2024
https://github.com/wlopezm-unal/titanic_ship-streamlit
Machine Learning model, where using titanic ship data and see if is be able to predict if a passager was salved or died. This apply use Machien learning (Random Forest, gassianNB and Logistic Regressión) . Further, using streamlit together to FastApi be able to see the predict result
docker machine-learning optuna scikit-learn streamlit supervised-machine-learning
Last synced: 08 Jan 2025
https://github.com/vaishnavis03/finlatics_ml_program
This repository contains the .ipynb files for 3 datasets, along with a PPT for each. The datasets included are Facebook Marketplace Data, Sales Prediction Data, and Wine Quality data.
correlation data-analysis data-science data-visualization knn linear-regression machine-learning matplotlib numpy pandas random-forest-classifier scikit-learn
Last synced: 23 Nov 2024
https://github.com/rahulb813/mvscr
An alternative movie recommendation system for the CineMatchSM with better predictions. Trained with a Kaggle dataset of over 450000+ entries.
gridsearchcv knn python scikit-learn scipy-sparse svd tensorflow xgboost
Last synced: 02 Jan 2025
https://github.com/deliprofesor/ridge-regression-for-sales-prediction-model-evaluation-and-hyperparameter-tuning
This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.
cross-validation data-science data-visualization grid-search machine-learning model-optimization mse overfitting-prevention polynomial-regression python r2-score regression-analysis regularization ridge-regression rmse scikit-learn
Last synced: 30 Dec 2024
https://github.com/dilkushsingh/iris-species-classifier
Used Random Forest Classifier Algorithm
huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit
Last synced: 30 Dec 2024
https://github.com/tanim-mishkat/data-science-prediction-model-pds-course-
Diabetes Progression Prediction Using Regression Analysis: This project uses regression analysis in Python to predict diabetes progression based on medical and physiological data. Includes data preprocessing, model training, evaluation, and visualizations.
data-science machine-learning python regression scikit-learn
Last synced: 23 Nov 2024
https://github.com/vishnu-vamshii/fraud-detection-using-machine-learning
Developed a machine learning pipeline to detect fraudulent credit card transactions, handling imbalanced data with SMOTE and scaling. Trained models like Logistic Regression and Random Forest. Conducted EDA to identify fraud patterns.
pandas python scikit-learn tensorflow
Last synced: 23 Nov 2024
https://github.com/felinjob/ibm-applied-data-science-capstone
Este projeto, parte da especialização IBM Data Science Professional Certificate, prevê o sucesso do pouso do Falcon 9 da SpaceX. Usando dados da API da SpaceX e Web Scraping, o projeto inclui análise de dados e Machine Learning para gerar insights sobre os lançamentos.
data-analysis data-science data-visualization ibm jupyter-notebook machine-learning numpy pandas python scikit-learn seaborn sql
Last synced: 23 Nov 2024
https://github.com/harris-giki/e-comdataanalysis_ml
E-commerce Customer Analysis with Linear Regression: analyzes customer behavior within an e-commerce setting and predict yearly customer spending based on various features using a linear regression model.
development ecommerce linear-regression machine-learning model prediction-model python scikit-learn
Last synced: 23 Nov 2024
https://github.com/myahninsi/housing-price-prediction-ml
Final project for Big Data Visualization for Business Communications 01 (DSMM Group 1). Analyzes housing data, identifies key price factors, and builds predictive models using machine learning. Includes Power BI dashboards for interactive visualizations and Flask for deployment.
elastic-net lasso-regression linear-regression matplotlib numpy pandas ridge-regression scikit-learn seaborn
Last synced: 30 Dec 2024
https://github.com/probokrishnacahya/machine_learning
IMT01306601-A Machine Learning
ipynb machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 25 Dec 2024
https://github.com/dmschauer/aws-sagemaker-deployment-test
I did a simple test to see how deploying a machine learning model on AWS Sagemaker and thus turning it into an API works. Since scikit-learn models require less dependencies than e.g. TensorFlow models I went with them for this test. To do so I used a tutorial.
aws boto3 python sagemaker scikit-learn
Last synced: 08 Jan 2025
https://github.com/sorenfyhn/dtu-machine-learning-project
My project work for the DTU 02450 Machine Learning course.
machine-learning python pytorch quarto scikit-learn
Last synced: 23 Nov 2024
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: 25 Dec 2024
https://github.com/ericmaddox/crime-analyst-ai
AI-powered Python project that analyzes crime data, predicts trends using advanced models, and visualizes insights on interactive maps with validation for accuracy and reliability.
ai artifical-intelligence crime-analysis crime-data crime-data-analysis crime-prediction crime-statistics ollama ollama-api python python3 scikit-learn
Last synced: 08 Jan 2025
https://github.com/ayaarbi/prediction_des_maladies_cardiovasculaires_avec_ml
Ce projet, développé au sein de cours de Machine Learning, utilise des algorithmes de classification supervisée pour prédire la présence de maladies cardio-vasculaires à partir de données médicales publiées sur Kaggle.
cardiovascular-diseases jupyter-notebook machine-learning matplotlib pandas python scikit-learn
Last synced: 23 Nov 2024
https://github.com/darkdk123/customer-churn-prediction-innobytes
Predicting Customer churns as an Internship project at Innobytes services.
data-science python scikit-learn streamlit xgboost-classifier
Last synced: 28 Dec 2024
https://github.com/arizdn234/spotify-api-with-colab
Crawling, Analyzing, Clustering music data from Spotify API
machile-learning scikit-learn spotify-api spotipy-library
Last synced: 30 Dec 2024
https://github.com/tlapanco/knn-project
Projecto para la materia de Sistemas inteligentes haciendo uso de KNN oversampling.
jupyter-notebook knn pandas python scikit-learn smote
Last synced: 23 Nov 2024
https://github.com/icejan/predicton-systems
Systems that generates results based on data
lightfm numpy python scikit-learn
Last synced: 29 Nov 2024
https://github.com/fairlytales/machine_learning
Workbooks for machine learning and neural network courses, textbooks, etc.
jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy opencv opencv-python pandas python pytorch scikit-learn scipy
Last synced: 07 Jan 2025
https://github.com/naufal-yafi/text-mining-nb.model
Text mining using Naive Bayes algorithm
clasification data-science machine-learning naive-bayes-algorithm python3 scikit-learn streamlit-webapp text-mining
Last synced: 30 Dec 2024
https://github.com/akhileshthite/india-population
ML (simple linear regression) model for predicting India's population.
machine-learning numpy pandas python scikit-learn
Last synced: 12 Oct 2024
https://github.com/naufal-yafi/knn-regression.model
K-Nearest Neighbors
data-science knn-regression machine-learning scikit-learn
Last synced: 30 Dec 2024
https://github.com/rajukoushik/machine-learning
machine-learning
machine-learning python scikit-learn
Last synced: 30 Dec 2024
https://github.com/fahrettinsolak/ai-map-based-geographic-clustering-project
This project focuses on clustering crime incidents in San Francisco using the K-Means algorithm. The dataset is obtained from Kaggle and contains information about crime types, geographical coordinates, and other relevant features. The goal is to identify crime hotspots through geographic clustering and visualize the clusters on an interactive map.
artificial-intelligence deep-learning elbow-method jupyter-notebook machine-learning numpy openstreetmap pandas phyton plotly scikit-learn standardscaler
Last synced: 07 Dec 2024
https://github.com/shreeparab1890/duplicate-question-predictor
The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.
bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit
Last synced: 01 Jan 2025
https://github.com/sarmadahmad8/ml-and-deeplearning-projects-for-beginners
Beginner ML/DL projects spanning core libraries and problem sets.
beginner-friendly data-analysis data-science deep-learning fastai machine-learning opencv pytorch scikit-learn transformer
Last synced: 23 Nov 2024
https://github.com/miguellopezvirues/azure_keyword_cpc
Development and deployment of simple regression model in Azure Machine Learning.
azureml deplyment machine-learning mlflow pandas scikit-learn
Last synced: 24 Dec 2024
https://github.com/bkamapantula/discover
Code search utility to assist developer workflows via code discovery. Currently uses TF-IDF estimator.
developer-tools python scikit-learn tf-idf
Last synced: 06 Dec 2024
https://github.com/josancamon19/boston_housing
Predicting Boston Housing Prices for Udacity Machine Learning Nanodegree
boston-housing-price-prediction machine-learning machine-learning-nanodegree scikit-learn udacity
Last synced: 28 Dec 2024