Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

scikit-learn

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

https://github.com/jazib-2004/face-mask-detection-using-cnns

Face mask detection can be very useful in environments like hospital emergency rooms or ICUs where wearing mask is mandatory. It can also help in pandemics like COVID where such models can detect if a person is wearing a mask or not. In this project, I used a Convolutional Nueral Network architecture to train a face mask detection algorithm based.

convolutional-neural-networks keras object-detection python scikit-learn tensorflow

Last synced: 13 Nov 2024

https://github.com/vishal-verma-96/capstone_project_by_skill_academy

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

Last synced: 18 Oct 2024

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

A Naive-Bayes classifier for detecting plagiarism.

amazon-sagemaker naive-bayes-classifier scikit-learn

Last synced: 13 Nov 2024

https://github.com/arssite/dirty-cleanflooringimageprocessingusingyolov5

Uses YOLOv5 to classify floor cleanliness into five categories based on visual cues. It includes an annotated dataset, trained model,& evaluation outputs. Code covers data preprocessing, training, & testing. A comparative analysis highlights YOLOv5's advantages over traditional methods, providing an efficient solution automated floor cleanliness.

deep-neural-networks github google-colab jupyter-notebook labelimg matplotlib-pyplot numpy-library opencv-python pandas-python pytorch scikit-learn tensorflow yolov5

Last synced: 05 Dec 2024

https://github.com/mryutaro/spla3clip

スプラトゥーン3でキル・デスした時刻を自動で集めるツール

fastapi python react scikit-learn typescript

Last synced: 14 Dec 2024

https://github.com/mpolinowski/fisher-discriminant-analysis

LDA is a widely used dimensionality reduction technique built on Fisher’s linear discriminant.

linear-discriminant-analysis matplotlib-pyplot python scikit-learn

Last synced: 30 Nov 2024

https://github.com/santiagoasp98/spam-detection

SMS spam detection using Logistic Regression and Multinomial Naive Bayes.

classification logistic-regression machine-learning multinomial-naive-bayes python scikit-learn spam-detection

Last synced: 14 Dec 2024

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

Improve Data Quality by discarding non-correlating, noisy Dimensions

locally-linear-embedding pyplot python scikit-learn

Last synced: 30 Nov 2024

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

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

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

Last synced: 30 Nov 2024

https://github.com/sundanc/weatherprediction

This project implements a weather prediction system that predicts the temperature based on real-time weather data, including features like humidity, wind speed, and day-related features (day of the week, month

machine-learning machinelearning numpy pandas programming python scikit-learn scikitlearn-machine-learning weather-prediction

Last synced: 14 Dec 2024

https://github.com/sunilvarma-l/liverdiseaseprediction

"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."

machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit

Last synced: 14 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/kumailn/machinelearning

Machine learning with Python

machine-learning python scikit-learn tensorflow

Last synced: 02 Jan 2025

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

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

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

Last synced: 21 Nov 2024

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

Predicting Wine Quality with Several Classification Techniques using SciKit Learn.

feature-classifiers python scikit-learn

Last synced: 30 Nov 2024

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

Improve Data Quality by discarding non-correlating, noisy Dimensions

matplotlib-pyplot python scikit-learn t-sne

Last synced: 30 Nov 2024

https://github.com/supershivam5/python_projects

💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!

matplotlib-pyplot numpy pandas scikit-learn seaborn

Last synced: 14 Dec 2024

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

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

machine-learning preprocessing scikit-learn

Last synced: 09 Jan 2025

https://github.com/djdhairya/crop-recommendation

Crop Recommendation System is a powerful tool for enhancing agricultural decision-making. By leveraging data-driven insights, it empowers farmers to maximize yield and ensure sustainable practices.

adaboostclassifier bagging-classifier csv decision-trees gaussian html knn-classification logistic-regression machine-learning machine-learning-algorithms matplotlib model numpy pandas random-forest random-forest-classifier scikit-learn seaborn svc

Last synced: 14 Dec 2024

https://github.com/namratha2301/bangalorehousepricepredictor

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

azure bashscript docker flake8 flask github-actions scikit-learn

Last synced: 30 Nov 2024

https://github.com/lefteris-souflas/ai-fashion

"DressMeUp" project utilizes fashion images and color combinations to achieve image classification for clothing combinations. Algorithms include SGD (SVM), Passive Aggressive Classifier, ResNet50 CNN, and EfficientNetV2-S CNN with K-Means for color analysis. Achieved accuracy exceeds 90%. Built with Python, Scikit-Learn, TensorFlow, and Streamlit.

business-idea cnn-classification efficientnetv2 image-classification k-means-clustering machine-learning outfit-matching outfit-planner passive-aggressive-classifier python3 resnet-50 scikit-learn sgd-classifier sqlite3 streamlit tensorflow2

Last synced: 13 Nov 2024

https://github.com/lefteris-souflas/the-algorithmic-approach-to-winning-guess-who

This repository provides a systematic approach to winning the "Guess Who?" game through advanced machine learning techniques. It offers a comprehensive methodology for enhancing gameplay strategy and optimizing decision-making processes with meticulous attention to detail.

decision-tree drawio gradient-boosting graphviz-dot lightgbm machine-learning matplotlib numpy pandas python random-forest scikit-learn

Last synced: 13 Nov 2024

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: 13 Nov 2024

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

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

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

Last synced: 15 Oct 2024

https://github.com/simon2k/stock-price-prediction-evaluation

This project is indented to present a small evaluation of different types of regression models for predicting stock prices for AAPL.

evaluation machine-learning numpy pandas predicting-stock-prices scikit-learn

Last synced: 13 Nov 2024

https://github.com/mohd-faizy/preprocess_ml

This repository hosts Python code that utilizes the Scikit-learn preprocessing API for data preprocessing. The code presents a comprehensive range of tools that handle missing data, scale data, encode categorical variables, and perform other functions.

data-science feature-engineering feature-engineering-algorithm feature-extraction feature-selection machine-learning outlier-detection preprocessing-data preprocessor scikit-learn

Last synced: 13 Nov 2024

https://github.com/snghrsw/kikagaku-ml-learning

Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類

liner-regestion multiple-regression numpy pandas python scikit-learn

Last synced: 23 Nov 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/swetshaw/machine-learning-a-z

It contains all tutorials based on Udemy course Machine Learning A-Z.

machine-learning python scikit-learn udemy-machine-learning

Last synced: 16 Nov 2024

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

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

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

Last synced: 16 Nov 2024

https://github.com/idaraabasiudoh/svm_cell_classification

This repository contains code for classifying cell samples using Support Vector Machine (SVM) with Scikit-learn.

machine-learning python3 scikit-learn svm-classifier

Last synced: 20 Dec 2024

https://github.com/meiyor/abatech_ai_test

This repository contains the files for deploying an Exploratory Data Analysis (EDA) for participant demographic and company-based data collected by the outsourcing service given by the company ABATech located in Colombia. This repository also includes the evaluation of three different classifiers to decode the level of satisfaction of the users.

keras python scikit-learn scikitlearn-machine-learning tensorflow

Last synced: 23 Nov 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/r-gg/ml-37

Amazon Reviews ~ Sentiment analysis evaluation: fine-tuned BERT vs LSTM. (+ Extensive Data Mining & Visualization)

bert deep-learning ipynb-jupyter-notebook lstm machine-learning python scikit-learn uni-project

Last synced: 13 Nov 2024

https://github.com/the-developer-306/house-price-predictor

House Price Predictor: Harnessing machine learning algorithms to forecast housing prices in Boston, empowering buyers and sellers with accurate predictions based on key factors like location, crime rate, rooms, accessibility, and more.

csv ipynb-jupyter-notebook joblib matplotlib numpy pandas python scikit-learn

Last synced: 13 Nov 2024

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

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

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

Last synced: 16 Nov 2024

https://github.com/aqueeqazam/machine-learning-using-scikit

This repository contains all of the algorithms used to train the machine learning models using the Scikit library.

numpy scikit-learn

Last synced: 14 Nov 2024

https://github.com/aysenurcftc/breast_cancer_streamlit

Breast Cancer Wisconsin Dataset Classifier with Scikit-learn and Streamlit

breast-cancer classification gridsearch scikit-learn streamlit

Last synced: 14 Nov 2024

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

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

docker flask nltk numpy pandas python3 scikit-learn selenium

Last synced: 15 Dec 2024

https://github.com/nickklos10/concrete-compressive-strenght-prediction

This project predicts concrete compressive strength using a neural network regression model built with Keras.

jupyter-notebook keras matplotlib numpy pandas python scikit-learn

Last synced: 24 Oct 2024

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/chengetanaim/high-school-alcoholism-and-academic-performance

Student Alcoholism and Academic Performance Data Analysis

jupyter-notebook scikit-learn

Last synced: 23 Dec 2024

https://github.com/paragon279/cancercellclassificationbyscikitlearn

Classifies cancer cell using Scikit-learn

machine-learning python scikit-learn

Last synced: 19 Nov 2024

https://github.com/i30101/mathworks2024

Coding tools for 2024 MathWorks Math Modeling Challenge

machine-learning mathematical-modelling python scikit-learn

Last synced: 13 Nov 2024

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

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

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

Last synced: 13 Nov 2024

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

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

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

Last synced: 13 Nov 2024

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

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

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

Last synced: 13 Nov 2024

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

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

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

Last synced: 13 Nov 2024

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

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

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

Last synced: 13 Nov 2024

https://github.com/thiagohrcosta/movieapp-ml

The Movie APP is a project created to apply some of the concepts learned throughout the post-graduation degree at XP Educação in Artificial Intelligence with an emphasis on Machine Learning. While this project is not integrated into the curriculum of the course, some of the concepts used were learned during the program.

docker flask-api machine-learning mysql-database postgresql python scikit-learn

Last synced: 09 Dec 2024

https://github.com/zenklinov/regression_logistic_-_sentiment_analysis_movie_data

This repository contains code for performing sentiment analysis using scikit-learn and logistic regression

natural-language-processing nlp nltk scikit-learn sentiment-analysis

Last synced: 13 Nov 2024

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: 12 Oct 2024

https://github.com/dionixius7/titanic-disaster-ml-model

This project predicts the survival of passengers on the Titanic by using Kaggle Titanic Disaster Dataset. The dataset contains information related to passengers, such as age, gender, and class. Different machine learning algorithms have been applied for this predictive model to accomplish an accurate prediction that will define the survival chances

data-analysis data-science data-visualization eda knn-classifier machine-learning neural-network python scikit-learn svm tensorflow titanic-kaggle titanic-survival-prediction

Last synced: 17 Nov 2024

https://github.com/mramshaw/intro-to-ml

Intro to Machine Learning - Pattern Recognition for Fun and Profit

machine-learning matplotlib ml numpy pandas pip pip3 python scikit-learn scipy seaborn seaborn-plots sklearn statsmodels tensorflow weka

Last synced: 14 Nov 2024

https://github.com/mark1708/neurointerfaces-of-information-systems

Laboratory work on the discipline "Neurointerfaces of information systems"

numpy pandas python scikit-learn

Last synced: 13 Nov 2024

https://github.com/daniel-fink-de/contextual-encoders

A library of scikit-learn compatible contextual variable encoders

data-science machine-learning scikit-learn

Last synced: 09 Jan 2025

https://github.com/xprithvi/random-forest-regressor

This Jupyter notebook serves as a machine learning template to quickly make predictions and analyse feature importance in a dataset.

data-science feature-extraction machine-learning random-forest random-forest-regression scikit-learn

Last synced: 19 Nov 2024

https://github.com/bestmahdi2/uni__pythonsupportvectormachinesbinaryclassification

A university project in which the binary classification of support vector machines is implemented with Python language

binary-classification classification matplotlib numpy python scikit-image scikit-learn seaborn support-vector-machine svm

Last synced: 16 Nov 2024

https://github.com/richardbmk/datascience_machinelearning

projects related with data science and machine learning projects.

data-science machine-learning matplotlib numpy pandas scikit-learn scipy seaborn

Last synced: 23 Nov 2024

https://github.com/bestmahdi2/uni__decisiontreesinpythonpredictingdiabetes

A university project designed in Python decision tree for diabetes diagnosis

decision-tree diabetes-prediction graphviz pandas prediction pydotplus python scikit-learn

Last synced: 16 Nov 2024

https://github.com/a-poor/sample-model-serve

Demo for using Flask to serve a scikit-learn model as an API

api data-science docker flask machine-learning scikit-learn

Last synced: 07 Dec 2024

https://github.com/aarryasutar/credit_eda

This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.

binning boxplot correlation-matrix data-cleaning data-splitting dataframe feature-engineering heatmap jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 13 Nov 2024

https://github.com/moritzkoerber/tune_preprocessing_algos

Files for this blogpost https://moritzkoerber.github.io/python/tutorial/2019/11/18/blogpost/

cross-validation hyperparameter-tuning machine-learning python scikit-learn

Last synced: 09 Jan 2025