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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.

https://github.com/tsungtsetu122/datamining-cifar10-classification

Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/parthapray/nlp_pipeline_openai

This repo contains nlp pipeline and openai API integration

gradio matplotlib networkx nltk openai rake-nltk scikit-learn seaborn spacy textblob textstat wordcloud

Last synced: 10 Apr 2026

https://github.com/prasadhiremath1/movie-recommender-system

Select a movie and 5 similar movies are recommended from the tmdb dataset

pandas python3 scikit-learn streamlit

Last synced: 11 Apr 2026

https://github.com/crispengari/ml-web-applications

โœ” This repository contains a series of machine learning web applications, using python.

artificial-intelligence deeplearning flask javascript machinelearning nueral-networks python scikit-learn sentiment-analysis webapplication

Last synced: 11 Apr 2026

https://github.com/mnitin-reddy/collaborative-filtering-based-recommendation-system

This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.

collaborative-filtering numpy pandas popularity-based-recommendation python recommendation-system scikit-learn

Last synced: 11 Apr 2026

https://github.com/akshaya13/recommendation-system

Content Based Recommendation system using tags!

nltk scikit-learn similarity-search tmdb-database

Last synced: 18 May 2026

https://github.com/gamowy/urbansounds-classification

Classification of urban sounds using Tensorflow Keras

keras machine-learning python scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/eco786786/spotify-playlist-generator

This project uses machine learning to cluster songs by features like tempo, genre and mood with K-Means. It then creates personalised Spotify playlists based on these clusters, providing dynamic, genre specific track collections. Integrating the Spotify API, it enables users to explore new music within custom groupings.

flask matplotlib pandas python3 scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/archie-cm/churn-analysis-for-bank-customer

The objective from this project are to predict customer churn and provide recommendations to the business team

feature-engineering machine-learning python scikit-learn

Last synced: 11 Apr 2026

https://github.com/nicolas-giacomelli/modelo-regressao-logistica_dockerapi

Modelo de regressao logistica para classificar se uma fruta esta boa ou ruim baseado nas suas caracteristicas

docker fastapi optuna pandas plotly pydantic python3 scikit-learn seaborn uvicorn

Last synced: 11 Apr 2026

https://github.com/zuhairzia/titanic-survival-project

This is a Titanic Survival Prediction Model developed using Python, Pandas, Scikit-learn, and Jupyter Notebook. The model predicts whether a passenger survived the Titanic disaster based on features such as age, gender, and passenger class.

csv-dataset flask jupyter-notebook matplotlib numpy pandas pandas-library python scikit-learn seaborn streamlit

Last synced: 11 Apr 2026

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: 11 Apr 2026

https://github.com/shreeparab1890/handwritten-digit-recognition

In this iPython Noetbook we are going to use the MNIST dataset for the implementation of a handwritten digit recognition app using LogisticRegression and SGDClassifier and compare the accuracy and other metrics.

handwritten-digit-recognition image-classification matplotlib mnist-dataset python scikit-learn sklearn

Last synced: 11 Apr 2026

https://github.com/msikorski93/breast-cancer-classifying

Identifying and assigning breast cancer diagnosis using machine learning methods, based on observations in WDBC dataset. All classifiers have been evaluated and performed well for this task.

breast-cancer classification k-nearest-neighbours keras logistic-regression naive-bayes neural-networks scikit-learn tensorflow

Last synced: 30 Apr 2026

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: 11 Apr 2026

https://github.com/akimuddinshaikh/machine-learning-project

A comparative study of regression models (Decision Tree, Random Forest, Ridge, Lasso, SVM) for predicting real estate prices in King County, NYC, and California using PCA & Pipeline techniques.

machine-learning pca-analysis python regression-models scikit-learn statsmodels

Last synced: 16 May 2026

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: 11 Apr 2026

https://github.com/das-amlan/delay-prediction-in-urban-mobility-networks

Predicting delays in Urban mobility netwrok using different ML algorithms.

delay-prediction gradient-boosting machine-learning python r scikit-learn

Last synced: 05 Apr 2026

https://github.com/mr-ndi/tibebai

Machine learning experiments on student performance prediction. Inspired by tibeb (wisdom) in Amharic, this project explores regression models to understand how study factors influence exam scores.

ai data-science education elevvo google-colab internship kaggle linear-regression machine-learning matplotlib pandas polynomial-regression prediction regression scikit-learn student-performance tibebai-wisdom

Last synced: 11 Apr 2026

https://github.com/timothyjan/intro-machine-learning-classifiers

We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a โ€œreal-worldโ€ dataset, which will introduce its own set of challenges.

numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/brej-29/disaster-tweets-nlp-model-benchmarks

Benchmark NLP models on Kaggle โ€œDisaster Tweetsโ€: TF-IDF + Naive Bayes baseline, Keras deep nets (Dense/LSTM/GRU/BiRNN/Conv1D), and TensorFlow Hub Universal Sentence Encoder transfer learningโ€”compared using accuracy, precision, recall, and F1.

bidirectional-rnn cnn conv1d deep-learning disaster-tweets gru kaggle keras lstm machine-learning naive-bayes nlp rnn scikit-learn tensorflow tensorflow-hub text-classification tfidf

Last synced: 11 Apr 2026

https://github.com/priteshramani/movie-recommender

A content-based movie recommendation system using Python, Pandas, and cosine similarity to suggest movies based on their features.

cosine-similarity pandas pickle python scikit-learn streamlit

Last synced: 11 Apr 2026

https://github.com/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction

With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.

matplotlib numpy pandas plotly python3 scikit-learn xgboost

Last synced: 09 Jun 2026

https://github.com/mrktsm/spam-email-recognizer

Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.

data-preprocessing keras lstm-neural-network model-architecture nltk numpy pandas performance-evaluation scikit-learn spam-classification-model tenserflow training-the-model

Last synced: 09 Apr 2026

https://github.com/abdiasarsene/routerwise-api-predictive-analytics-for-shipments

๐Ÿงญ RouterWise optimise la logistique dโ€™ล“uvres dโ€™art grรขce ร  une pipeline MLOps automatisรฉe, prรฉdictive et monitorรฉe, intรฉgrรฉe au backend de PrecisioArt.

bentoml docker fastapi jenkins mlflow prometheus scikit-learn

Last synced: 11 Apr 2026

https://github.com/lmizner/grokking_data_science

Coding practice for basic data science interview questions in Python

data-science numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/jayadavv/dynamic-ml-model-selector

An interactive web application that allows users to upload their datasets and dynamically select, train, and evaluate various machine learning models. The app provides comprehensive performance metrics and visualizations, making it easy for users to analyze their data effectively.

decision-trees linear-regression logistic-regression matplotlib-pyplot plotly python random-forest scikit-learn streamlit

Last synced: 11 Apr 2026

https://github.com/genaray/ml.shopanalytics

A minimalist Python & cloud ML project that trains on Amazon sales & review data to recommend optimal prices/discounts to boost ratings/sales and surface actionable visual insights. Powered end-to-end by AWS CloudFront, S3, ALB & Fargate and Svelte.

ai aws aws-alb aws-cloudfront aws-ecs aws-fargate aws-s3 cicd devops machine-learning python scikit-learn terraform

Last synced: 11 Apr 2026

https://github.com/gregoritsch3/ml_eda_clustering_aidassessment

An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.

anova dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn statistics

Last synced: 16 Apr 2026

https://github.com/felinjob/ibm-applied-data-science-capstone

Este projeto, parte da especializaรงรฃo IBM Data Science Professional Certificate, prevรช o sucesso do pouso do Falcon 9 da SpaceX. Usando dados da API da SpaceX e Web Scraping, o projeto inclui anรกlise de dados e Machine Learning para gerar insights sobre os lanรงamentos.

data-analysis data-science data-visualization ibm jupyter-notebook machine-learning numpy pandas python scikit-learn seaborn sql

Last synced: 11 Apr 2026

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: 26 Feb 2025

https://github.com/eljandoubi/genre_classification

Create an ML pipeline for Genre Classification using MLflow.

hydra machine-learning mlflow numpy pandas pandas-profiling pytest scikit-learn scipy wandb

Last synced: 11 Apr 2026

https://github.com/talapanenivarshithchowdary/asteroid-detection-ml

This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.

classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn

Last synced: 11 Apr 2026

https://github.com/audy21/datacamp

Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.

data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

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

Built an end-to-end regression pipeline to predict house prices using Linear Regression with automated preprocessing (PowerTransform, StandardScaling) via Scikit-learn's Pipeline and ColumnTransformer.

column-transformer linear-regression matplotlib-pyplot numpy pandas pipeline python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/aksoni07/movie-recommendation

A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.

clustering content-based-filtering data-analysis embeddings jupyter-notebook numpy ollaborative-filtering pandas personalization python recommendation-systems scikit-learn user-item-interactions

Last synced: 11 Apr 2026

https://github.com/allanreda/telco-customer-churn-predictor-app

A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.

app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn

Last synced: 16 Apr 2026

https://github.com/dastogirrudro/machine-learning-and-deep-learning

This is my thesis project which i have done in varsity.Here i used machine learning and deep learning i used LSTM as deep learning.This can identify aggresive spam message. Here i used pandas scikit-learn and many more framework i used python as a programming language.I used many algorithm for highering the accuracy of my project.

deep-learning lstm machine-learning numpy pandas python scikit-learn

Last synced: 11 Apr 2026

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

Supervised learning model trained and evaluated on loan risk for potential use in the prediction of the creditworthiness of an applicant

banking loan-prediction-analysis machine-learning pandas python scikit-learn supervised-learning

Last synced: 11 Apr 2026

https://github.com/trimoyee-g/adenovirus-disease-prediction

A machine learning project using scikit-learn to compare models for Adenovirus detection, selecting the most effective one based on accuracy, precision, and recall.

machine-learning matplotlib python random-forest-classifier scikit-learn

Last synced: 11 Apr 2026

https://github.com/trimoyee-g/flipkart-reviews-sentiment-analysis

A RandomForestClassifier-based sentiment analysis model for efficient binary categorization of Flipkart reviews.

machine-learning matplotlib python random-forest-classifier scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/trimoyee-g/phishing-site-predictor

A phishing site prediction model using scikit-learn's Random Forest Classifier, achieving high accuracy and gaining insights into website characteristics.

data-visualization machine-learning python random-forest-classifier scikit-learn

Last synced: 11 Apr 2026

https://github.com/ghoumbadji/analyzing-customer-churn-for-a-telecom-company

The project involves utilizing various machine learning techniques, both supervised and unsupervised, to detect customer churn and identify the key factors contributing to it.

churn-analysis churn-prediction kaggle machine-learning pandas random-forest-classifier scikit-learn

Last synced: 03 May 2026

https://github.com/alsult/wine_classification

This is a wine classification project based on 13 numerical features of wines grown in the same region in Italy but derived from three different cultivars.

logistic-regression machine-learning matplotlib multiclass-classification pandas python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/lijesh010/ml_project_data_preprocessing

The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.

data-cleaning data-exploration data-preprocessing machine-learning numpy pandas-python python scikit-learn

Last synced: 11 Apr 2026

https://github.com/alexsolov28/ml_course

ะšัƒั€ั "ะขะตั…ะฝะพะปะพะณะธั ะผะฐัˆะธะฝะฝะพะณะพ ะพะฑัƒั‡ะตะฝะธั"

colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 Apr 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 Feb 2026

https://github.com/alisson-t-bucchi/cost-of-living-ai-ml

Cost of living predictor for some world cities, using AI and ML to scrap and predict cost for each selected city.

artificial-intelligence linear-regression machine-learning matplotlib pandas-dataframe python scikit-learn

Last synced: 18 Jun 2025

https://github.com/kkinzzza/meansalaryprediction

This project focuses on predicting the mean salary for job vacancies from HeadHunter.

catboost classic-ml regression salary-prediction scikit-learn

Last synced: 29 Apr 2026

https://github.com/scikit-learn/pairwise-distances-reductions-asv-suite

A dedicated asv suite for scikit-learn private PairwiseDistancesReductions

asv benchmarks cython scikit-learn

Last synced: 18 Jan 2026

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: 11 Apr 2026

https://github.com/ebadshabbir/decision_tree_algorithm

Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.

decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/lohiyah/real-estate-price-forecast

A Python-based app predicting real estate prices using machine learning. Built with Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data processing and visualization, and Flask for the web interface.

flask matplotlib numpy pandas python3 scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/pekiiipy/credit-card-fraud-detection

๐Ÿ” Detect credit card fraud efficiently using advanced machine learning techniques, achieving high accuracy rates on a large dataset of transactions.

adasyn anomaly-detection class-imbalance credit-card-fraud data-visualization fraud fraud-detection frauddetection kaggle keras logistic-regression plotly-python postgresql random-forest scikit-learn tensorflow tree-model xgboost

Last synced: 11 Apr 2026

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: 09 Apr 2026

https://github.com/bhuvan-s-prasad/streamlit-regression

A machine learning project that predicts housing prices in California using regression techniques. This project includes comprehensive exploratory data analysis, feature engineering, linear regression modeling, and an interactive Streamlit web application for making predictions.

california-housing-price-prediction exploratory-data-analysis linear-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit supervised-learning

Last synced: 11 Apr 2026

https://github.com/parbhat-cpp/suicidal-ml

A machine learning/NLP-based system to identify signs of suicidal ideation from user text inputs.

bash cicd classification docker fastapi githubactions jinja2 jupyter-notebook machine-learning natural-language-processing nlp numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/pramodyasahan/model-selection

This repository explores and compares different regression models for predicting continuous outcomes. This repository includes implementations and evaluations of five key regression models. The primary goal is to demonstrate how each model works, evaluate their performance using R-squared values, and guide users in selecting the best model.

machine-learning modelselection numpy pandas python regression scikit-learn

Last synced: 08 Mar 2025

https://github.com/gurpreet0022/nlp_exploration

This repository explores various Natural Language Processing (NLP) techniques using the NLTK library in Python. It demonstrates these techniques on a sample dataset and performs sentiment analysis on movie reviews.

beginner-friendly nlp nlp-machine-learning nltk scikit-learn

Last synced: 30 Apr 2026

https://github.com/coder5omkar/logistic-regression-customer-churn-prediction

This project uses Logistic Regression to predict customer churn in the telecom industry. To run, clone the repository, install dependencies, and run the Jupyter notebook for full analysis and predictions.

logistic-regression ml pandas scikit-learn seaborn statistics

Last synced: 20 Apr 2026

https://github.com/abdiasarsene/customer_segmentation_for_a_marketing_campaign

Use unsupervised learning techniques to segment a companyโ€™s customers into distinct groups in order to personalize marketing campaigns. To ultimately propose specific marketing strategies for each customer segment based on the insights obtained.

acp kmeans-clustering matplotlib pandas plotly python scikit-learn seaborn

Last synced: 08 Mar 2025

https://github.com/paulinhok14/property-insight-sample

Property Insight is an app that helps you identify amazing real estate opportunities, leveraging AI models to estimate a property Fair Value and compare to current prices.

ai docker fastapi python pytorch real-estate scikit-learn streamlit

Last synced: 11 Apr 2026

https://github.com/jo-minseok/global-warming-100year

๐ŸŒก๏ธ 2100๋…„๊นŒ์ง€์˜ ์ง€๊ตฌ ๊ธฐ์˜จ, ํ•ด์ˆ˜๋ฉด, ๋ถ๊ทน ๋น™ํ•˜, ํƒ„์†Œ ์˜ˆ์ธก ML [์™„๋ฃŒ]

arima-model global-warming machine-learning matplotlib numpy pandas scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/bishopce16/credit_risk_analysis

An analysis to build and evaluate a dataset from LendingClub to discover credit risk using Supervised Machine Learning Algorithms.

imbalanced-learning jupyter-notebook machine-learning machine-learning-algorithms pandas python scikit-learn visual-studio-code

Last synced: 11 Apr 2026

https://github.com/anibalalpizar/python-machine-learning-example

This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.

machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

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: 11 Apr 2026

https://github.com/nfordumass/hot-seat

Machine Learning Dashboard and Engine for Predicting NFL Coach Firings

astro machine-learning react scikit-learn supabase typescript

Last synced: 09 Mar 2025

https://github.com/nikhilchaudhary1/commodity-price-prediction

A Python application for predicting commodity prices (e.g., Pulses, Bread) based on state, city, year, and month using a Linear Regression model. Trained on over 1 million government dataset entries, featuring efficient data processing and prediction capabilities.

commodity-price-prediction data-processing linear-regression machine-learning pandas python scikit-learn

Last synced: 20 Apr 2026

https://github.com/arnoldchrisoduor1/machines

Testing the limits of machines

pytorch scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/ayushtiwari134/machine_learning_models

A repo where i upload all the models which i train during my journey of learning Machine Learning from scratch

linear-regression logistic-regression machinelearning matplotlib numpy pandas python random-forest scikit-learn

Last synced: 11 Apr 2026

https://github.com/broodhoney/titanic-ml-from-disaster

This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data

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

Last synced: 11 Apr 2026

https://github.com/shru924/ecommerce_customer_behavior_analysis

A machine learning project that analyzes and segments e-commerce customers based on behavior patterns using Python, Random Forest, and data visualization.

customer-segmentation data-analysis jupyter-notebook machine-learning matplotlib pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/jgavinb/customer-churn-ml

Customer Churn prediction using various ML models. Interactive predictions via Streamlit webapp.

joblib machine-learning pkl python scikit-learn streamlit streamlit-application streamlit-webapp

Last synced: 11 Apr 2026

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

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

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

Last synced: 11 Apr 2026

https://github.com/ahmedshahriar/restaurant-menu-pricing

Predict menu prices from 5M+ UberEats menus with an end-to-end MLOps pipeline: crawl โ†’ DWH โ†’ curate โ†’ train โ†’ deploy on Azure ML (MLflow) via APIM & CLIs.

azure azureml bert-embeddings docker fastapi github-actions huggingface machine-learning mlflow mlops optuna python restaurant-menu scikit-learn scrapy tensorflow transformers uber-eats web-crawler

Last synced: 03 Feb 2026

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 53 Machine Learning 43 General 30 Data Manipulation 29 Deep Learning 28 Model Explanation 26 Reinforcement Learning 24 Optimization 22 Visualization 18 Graph Machine Learning 17 Feature Engineering 16 Time Series 16 Probabilistic Methods 13 Computer Vision 12 Computer Audition 9 Computations 9 Natural Language Processing 9 Deployment 8 Distributed Computing 7 Experimentation 7