NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-07-02 00:21:34 UTC
- JSON Representation
https://github.com/christabelsakyi/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
machine-learning matplotlib-pyplot numpy python seaborn sklearn
Last synced: 08 May 2026
https://github.com/umer-farooq-cs/california-housing-regression
Linear Regression experiments on the California Housing dataset across five phases, using NumPy and scikit-learn only (no pandas). Includes EDA, polynomial features, SGD with scaling, residuals, 5-fold CV, and an LNCS-style report with figures.
california-housing cross-validation deep-learning-for-perception linear-regression numpy polynomial-features reproducible-research residual-analysis sgd sklearn
Last synced: 09 May 2026
https://github.com/raveenaross/bulldozer-price-prediction
Predicting the sale price of bulldozers using machine learning
matplotlib numpy pandas sklearn time
Last synced: 07 Oct 2025
https://github.com/zolppy/recommendation-system
This project demonstrates the creation of a content-based image recommendation system. It leverages a pre-trained VGG16 deep learning model to extract meaningful feature vectors from images. These features are then compared using cosine similarity to identify and recommend visually similar images.
computer-vision deep-learning keras machine-learning numpy recommendation-system sklearn tensorflow vgg16
Last synced: 12 Apr 2026
https://github.com/prarthana-singh/bangalore-house-price-predictor
🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.
data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn
Last synced: 19 Apr 2026
https://github.com/thkox/uni_2023-content-based-image-retrieval
This project is a team assignment for the "Image Analysis" course, offered in the 7th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
7th-semester cartesian-product content-based-image-retrieval department-of-informatics hyperedge-similarity-calculation hypergraph image-analysis matplotlib networkx numpy python rank-normalization scipy torchvision university-of-piraeus
Last synced: 08 Oct 2025
https://github.com/lluispp/hunting_for_exoplanets_with_ai
An AI-powered tool that classifies exoplanets using NASA datasets and provides an interactive web interface for real-time exploration and discovery.
ai challenge exoplanets nasa numpy python spaceappchallenge-2025 spaceapps swai web
Last synced: 18 May 2026
https://github.com/ahmrina/unetbraintumorseg
UNetBrainTumorSeg is a 3D Slicer extension named "seg_module" that integrates a 3D UNet trained on BraTS2020 dataset to segment brain tumor area from MRI volumes
3d-slicer-extension monai numpy python pytorch slicer unet vtk
Last synced: 07 May 2026
https://github.com/alex-s2222/mem_chat_bot
телеграмм бот для создания gif из текста введённого пользователем
cv2 google-api moviepy numpy python python-telegram-bot requests
Last synced: 08 Oct 2025
https://github.com/manjotkaurgill/agritech
Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.
flask generative-ai insight-generation machine-learning matplotlib mongodb nextjs numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
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: 12 Mar 2026
https://github.com/piragashparam36/image-classification
classification numpy pickle sklearn supervised-learning svm
Last synced: 18 Jan 2026
https://github.com/harshavardh8n/machine-learning-projects
Machine Learning Projects: A collection of machine learning projects developed as part of the curriculum, utilizing libraries such as NumPy, Pandas, Seaborn, and Matplotlib. These projects demonstrate various algorithms, including Apriori and Decision Trees, showcasing practical applications and data analysis techniques.
apriori-algorithm decision-trees jupyter-notebook machine-learning numpy pandas python
Last synced: 18 Jan 2026
https://github.com/null-byte-00/fargasht
A simple evolution simulator written in python
ai data-science evolution evolutionary-algorithms machine-learning neural-network numpy pygame
Last synced: 18 Jan 2026
https://github.com/mkdirer/disaster-tweet-nlp-adaboost-transformers
A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validation set
geopy keras matplotlib numpy pandas python sklearn tensorflow
Last synced: 12 Apr 2026
https://github.com/lewis-morris/image_augment
Image augmentation for CNN's. Aiming to increase generalization.
augmentation image numpy python
Last synced: 18 Feb 2026
https://github.com/ahmedabdalkreem/lung-cancer
It help to know the patient have lung cancer or not and show what depenent in this disease that lead to this disease.
matplotlib numpy pandas python sklearn-library
Last synced: 14 Apr 2026
https://github.com/amish5ingh/cricket-data-analytics-ipl
Data analysis and visualization of IPL 2022 matches using Python, Pandas, Matplotlib, and Seaborn. Includes insights on match outcomes, player performances, toss trends, and venue stats with 12+ charts.
data-analysis data-visualization ipl-data-analysis ipl-data-visualization jupiter-notebook matplotlib-pyplot numpy pandas python seaborn
Last synced: 09 May 2026
https://github.com/nikhleshshukla123/web-scraping-using-python
scrapes multiple pages of Amazon search results using python.
beautifulsoup4 numpy pandas python
Last synced: 03 May 2026
https://github.com/armahdavi/analytics_statistics_ml_plotting_dust_extraction_hvac_filters_ph2
PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics
Last synced: 14 Apr 2026
https://github.com/bhavnanahar/coral_project
ChatGPT said: This project analyzes and predicts the health of coral reefs in the Florida Keys by examining coral cover and species richness trends over time.
colab-notebook matplotlib numpy pandas plotly python random-forest scikit-learn seabo
Last synced: 14 Apr 2026
https://github.com/winterwind/mlp_and_cnn
A short two-part project involving using an MLP and a CNN for ECG signal data
cnn convolutional-neural-network csv-files jupyter jupyter-notebook mlp neur numpy python pytorch
Last synced: 14 Apr 2026
https://github.com/gojoel/brockton-data-analysis
Analyzes police logs from the city of Brockton, MA and attempts predictive analysis.
data-science exploratory-data-analysis geopy machine-learning matplotlib numpy pandas seaborn
Last synced: 09 May 2026
https://github.com/amruta33/telecom-churn-case-study
Building a classification model for reducing the churn rate for a telecom company.
logistic-regression matplotlib numpy pandas plotly python seaborn skit-learn statmodels
Last synced: 14 Apr 2026
https://github.com/dmarks84/coursework_project_image-text-recognition
Project for University of Michigan Python Programming Specialization -- Read in documents with images and text, and utilized CV libraries/packages to extract specific types of images and text, pairing them together
classification computer-vision image-classification numpy pandas programming python text-classification
Last synced: 14 Apr 2026
https://github.com/amritendunath/appointmate_1.0
A LangGraph-powered multi-agent/supervisor system for appointment scheduling. It enables users to interact in natural language to check doctor availability, book, reschedule, or cancel appointments.
fastapi langchain langgraph nltk numpy pandas psycopg2 python sqlalchemy uvicorn websocket
Last synced: 07 Apr 2026
https://github.com/sohitbennett/roadsafe
A Deep learning computer vision system for real-time traffic safety monitoring.
computer-vision esrgan keras numpy pandas python scikit-learn tensorflow tesseract-ocr yolov5 yolov8
Last synced: 08 Apr 2026
https://github.com/shoaib1522/introduction-to-data-science
Unlock the world of data science with hands-on tutorials, interactive notebooks, and essential resources! Whether you're a beginner or looking to refine your skills, this repo offers a comprehensive guide to mastering Python, Git, NumPy, Pandas, and more—empowering you to analyze, visualize, and transform data like a pro! 🚀📊💻
confusion-matrix github-config kaggle matplotlib numpy pandas python3 script visualization
Last synced: 14 Apr 2026
https://github.com/gurramankit/censusproject_ml_randomforest
The objective of this project is to build a classification model using the Census Income dataset from the UCI Machine Learning Repository. The model predicts whether an individual's income exceeds $50,000 per year, based on their demographic and employment-related attributes.
matplotlib numpy pandas python random-forest scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/rakesh3596/apple-phone-sales-analysis
Apple Phone Sales Analysis using Python tools like Pandas, Matplotlib, Numpy, Plotly, Apple csv file
csv-files csv-reader matplotlib numpy pandas plotly python
Last synced: 14 Apr 2026
https://github.com/cinnaavox/loan-prediction
Machine Learning project predicting loan approvals using Decision Tree Classification. Includes data cleaning, feature engineering, model evaluation and key business insights.
decision-trees matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/farhannirzhor/python_eda_project_on_diwali_sales_analysis
In this project, I was given a sales data. I analyzed their sales data and shared a summary
data-cleaning data-manipulation exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/gopikrsmscs/mycinepick-recommendation-system
MyCinePick is a user-specific movie recommendation system built using collaborative filtering techniques. This project aims to provide personalized movie suggestions tailored to each user's unique viewing preferences and habits.
collaborative-filtering movie-recommendation-app numpy python3 recommendation-system sklearn streamlit
Last synced: 14 Apr 2026
https://github.com/gustavodinizmonteiro/pagehank
gephi information-retrieval numpy pagerank pandas pipenv python python3
Last synced: 14 Apr 2026
https://github.com/tnel7/data-science-yandex-practicum
Проекты из Яндекс Практикума "Специалист по Data Science"
data-science machine-learning nlp-machine-learning numpy pandas seaborn sklearn
Last synced: 19 Jan 2026
https://github.com/paulokarabyna/ml-foundations-day1
🔧 Set up a Python environment and practice linear algebra with NumPy while plotting vectors and reflections in this Day 1 ML foundations starter repository.
ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy terminal-mac tutorial visualization
Last synced: 18 May 2026
https://github.com/chandkund/housing-price-prediction
Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
data-science data-visualization matplotlib numpy pandas pyhton sklearn sklearn-library sklearn-metrics
Last synced: 21 Jan 2026
https://github.com/dpbm/extract_frames
extract frames from videos
frames frames-extract linux numpy opencv pip pipenv py python python-opencv python3 simple-program study terminal tool video videos
Last synced: 14 Apr 2026
https://github.com/pedrolustosa/energyforecasting
This project offers a complete solution for solar energy generation analysis and forecasting, using different machine learning models and a modern, intuitive web interface.
artificial-intelligence axios bootstrap5 chartjs css data-science fastapi fontawesome html5 numpy pandas python r react react-bootstrap rpy2 sklearn spinner toastr typescript
Last synced: 04 Apr 2026
https://github.com/badranalyst/time-series-analysis-of-global-trends-in-diet-gym-and-finance
This project analyzes global trends in diet, gym, and finance over time using time series data. The analysis is performed using Python libraries like Pandas, Matplotlib, and Seaborn to visualize trends and identify patterns in these sectors across various countries.
data-analysis dataset matplotlib-pyplot numpy pandas python seaborn time-series
Last synced: 14 Apr 2026
https://github.com/psgebeline/b2_plotter
A simple Python package for use by Belle II analysts to make various plots out of pandas dataframes and numpy arrays.
jupyter-notebook matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python uproot visualization-tools
Last synced: 19 Jan 2026
https://github.com/ljadhav25/false-alarm-detection
The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.
flask flask-api logestic-regression numpy pandas pkl pycharm-ide python
Last synced: 19 Jan 2026
https://github.com/venkat-a/python-eda-exploratory-data-analysis-
This project focuses on conducting exploratory data analysis (EDA) using Python. Utilizing powerful libraries such as Pandas for data manipulation and Plotly for interactive visualization, the project aims to uncover insights from datasets through comprehensive analysis and visualization techniques.
descriptive-statistics matplotlib numpy pandas seaborn statistical-analysis visualization
Last synced: 07 May 2026
https://github.com/akshay-kamath/anomaly_detection
This project addresses the challenge of identifying anomalies in sales data, aiming to optimize sales strategies by uncovering deviations from expected profit patterns.
anomaly anomaly-detection cblof flask isolation-forest knn matplotlib numpy pandas pyod python sklearn
Last synced: 19 Jan 2026
https://github.com/allanreda/automated-k-means-clustering-engine
An interactive K-Means clustering tool built with Flask and Scikit-Learn, supporting Excel file uploads, cluster analysis, and data export, deployed on Google Cloud Run via Docker with CI/CD integration.
cicd css data-visualization deployment docker flask google-cloud-run html javascript k-means-clustering machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 19 Jan 2026
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 Jan 2026
https://github.com/saylie/cat-dog-classifier-
The Cat-Dog Classifier is a deep learning-based image classification project that can differentiate between images of cats and dogs. It uses a Convolutional Neural Network (CNN) model trained on labeled datasets to predict whether a given image belongs to a cat or a dog.
ai javascript keras numpy opencv python react tensorflow
Last synced: 14 Apr 2026
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: 14 Apr 2026
https://github.com/bharath-tars/deeptumor2.0
DeepTumor2.0 is a project aimed at developing a flask webapp with robust front end and highly trained model using tensorflow in the backend with several features like with automatic html template reporting. **NOTE: DeepTumor2.0 has been moved from Azure to On-Render to save costs**
css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow
Last synced: 21 Jan 2026
https://github.com/sweta2501/ml
Consist of ML projects based on Python along with DataSheets
machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn sklearn-model
Last synced: 14 Apr 2026
https://github.com/probokrishnacahya/machine_learning
IMT01306601-A Machine Learning
ipynb machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/jatin-mehra119/paris_housing_price-kaggle-
Paris Housing Price Kaggle Competiton
data data-visualization kaggle-competition machine-learning numpy pandas predictive-modeling scikit-learn
Last synced: 29 Apr 2026
https://github.com/lorenzorottigni/ml-breast-cancer
Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
Last synced: 14 Apr 2026
https://github.com/sudarshanc00/smishing
This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.
nltk numpy pandas python scikit-learn scipy
Last synced: 14 Apr 2026
https://github.com/charancholaveti/imdb-sentimentanalysis
IMDB Movie Review Sentiment Analysis-It will give the sentiment of the review whether it is Positive or Negative
deeplearning keras numpy rnn-tensorflow tensorflow
Last synced: 14 Apr 2026
https://github.com/ricardorobledo/paymentcardfrauddetection2025
Comparative analysis of probabilistic classification models for credit card fraud detection, focusing on model calibration and threshold optimization in highly imbalanced datasets.
imbalanced-learn matplotlib numpy pandas python3 scikit-learn search
Last synced: 14 Apr 2026
https://github.com/chaakshay/heartdrive
A Streamlet-based tool that analyzes cardiovascular health data, predicts population risk using ML, and suggests targeted government actions like awareness campaigns, health checkups, and policy changes.
csv mathplotlib numpy pandas pandas-dataframe python scikit-learn seaborn streamlit
Last synced: 05 Apr 2026
https://github.com/sultanazhari/game-trend
Ice as a online store Video Games want to know a new trend of video game to help them prepare a video games which is more profitable to sell. As a data Analyst we're giving a trend of video game by genre, platform, console and the others clasification.
matplotlib-pyplot numpy pandas python3 scipy-stats video-game
Last synced: 11 Apr 2026
https://github.com/ricky9667/taiwanoceantrashpredict
A very simple DNN project using Keras.
Last synced: 14 Apr 2026
https://github.com/ayodimeji1/ai_clustering
artificial-intelligence clustering-algorithm machine-learning numpy pandas seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/gayatri018/ab-testing-marketing-campaign
This project involves conducting A/B testing to evaluate the performance of two marketing campaigns: Facebook Ads and Google Adwords for an online retail business. The primary goal is to determine which campaign is more effective in driving user engagement and conversions, helping the company optimize its marketing strategies.
ab-testing linear-regression matplotlib numpy pandas python scipy seaborn sklearn-
Last synced: 10 Apr 2026
https://github.com/zahediparsa/nlp_ta_uok
This repository contains exercises designed for students in the Natural Language Processing (NLP) course at the University of Kurdistan, taught by Dr. Fatemeh Daneshfar. The course took place from February 2024 to July 2024.
cbow jupyter-notebook matplotlib nlp nltk numpy pandas python tf-idf
Last synced: 19 Jan 2026
https://github.com/umesh-01/python
Python is a programming language that lets you work more quickly and integrate your systems more effectively. Python is used for web development, AI, machine learning, operating systems, mobile application development, and video games.
ai application-development artificial-intelligence deep-learning machine-learning matpotlib ml nlp numpy open-source pandas python python-framework python-libraries python3 web-development
Last synced: 07 Apr 2026
https://github.com/aaaastark/breast_cancer_analysis
Breast_Cancer_Analysis
data-science dataset machine-learning numpy pandas python sklearn tensorflow
Last synced: 10 Apr 2026
https://github.com/dev-dur/student_exam_analysis
This is a beginner-friendly data analysis mini-project using NumPy, Pandas, and Matplotlib. The project generates random student exam scores, analyzes them, and visualizes the results.
matplotlib-pyplot numpy pandas python
Last synced: 16 Apr 2026
https://gitlab.com/DLR-SY/boxbeam
Boxbeam is a legacy Fortran tool translated to python. It calculates effective beam properties of composite cross sections comprised of rod-like elements.
Last synced: 12 Oct 2025
https://github.com/angelarreola/ai_notes
Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.
ai matplotlib numpy pandas phaserjs python scikit-learn
Last synced: 21 Jan 2026
https://github.com/semanurbilada/chatbot
Developing ChatBot [ open source ]
custom-dataset intents keras keras-neural-networks keras-tensorflow model-training nlp nlp-machine-learning nltk-python numpy open-source pickle tensorflow
Last synced: 14 Apr 2026
https://github.com/jsimell/sleepanalysis
A Python data analysis project analyzing the sleep quality affecting factors and temporal patterns in the sleeping data of a single subject.
data-analysis matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/abideen-olawuwo/heart-diseases
A Heart diseases Machine Learning classification problem
decision-tree-classifier kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/petcareai/dba
PetCare DBA Admin é um sistema web avançado desenvolvido especificamente para a administração e gerenciamento de bancos de dados da plataforma PetCare. Esta ferramenta foi criada para simplificar e otimizar o trabalho de administradores de banco de dados (DBAs) em clínicas veterinárias, hospitais veterinários e sistemas de gestão pet.
api dba front-end-development git numpy pandas-dataframe petcareai ploty postgresql python shell-script sql startup streamlit streamlit-webapp supabase supabase-auth supabase-db supabase-storage virtualenv
Last synced: 14 Apr 2026
https://github.com/shubham-bendre/football-clip-analysis
This project uses YOLO and Roboflow datasets to analyze football matches, detecting players, referees, and the ball while tracking movements in real-time.
deep-learning matplotlib numpy roboflow-dataset yolov5
Last synced: 17 May 2026
https://github.com/aniruddhakhedkar/eda_to_evaluate_bank_telemarketing_campaign_for_revenue_enhancement
Exploratory_Data_Analysis_Python_Project_2
datavisualization duplicate-detection imputation-methods numpy outlier-removal pandas seaborn statistical-analysis
Last synced: 27 Jan 2026
https://github.com/abhishekyadav915/multiple_disease_prediction_using_ml
Developed a web-based application for predicting the likelihood of multiple diseases using machine learning models with accuracy up to 95%.
colab-notebook logistic-regression numpy pandas python3 sklearn spyder-python-ide streamlit-web streamlitcloud svm-classifier
Last synced: 05 May 2026
https://github.com/wasifsohail5/amusic-ai_powered_musicrecommendationsystem
AMUSIC is an AI-driven music recommendation system that helps users discover personalized songs. Using Python, Streamlit, and Scikit-learn, it offers smart recommendations, advanced search, and interactive music insights. Users can save favorites, create playlists, and export data for a seamless music discovery experience.
joblib k-nearest-neighbours matplotlib minmaxscaler numpy pandas pickle plotly python scikit-learn seaborn streamlit
Last synced: 14 Oct 2025
https://github.com/helabenkhalfallah/art-bloom
ArtBloom is a backend application designed for art enthusiasts and researchers.
analytics backend-api numpy pandas-python python recommendationsystem
Last synced: 22 Jan 2026
https://github.com/yahiazakaria445/ensemble-learning-voting-classifier
Ensemble Learning Using KNN, Naive Bayes, Decision Tree on Biomechanical Data
matplotlib numpy pandas scikit-learn seaborn
Last synced: 30 Apr 2026
https://github.com/gerlero/generala
🎲 Probabilistic tool for the dice game of Generala
Last synced: 27 Jan 2026
https://github.com/sadafasad/banks-mc-etl-pipeline
Banks' market capital ETL data pipeline
apache-airflow beautifulsoup docker numpy pandas python requests sqlite
Last synced: 14 Apr 2026
https://github.com/avik-pal/kaggle-titanic
Predicting whether a given set of people survive on the Titanic
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 14 Apr 2026
https://github.com/hoyirul/flask-starter-fs
Flask-Starter-FS is a concise full-stack starter kit for Flask web development, offering quick setup and pre-configured settings for seamless integration of front-end and back-end components. Accelerate your full-stack web application development with Flask-Starter-FS.
flask machine-learning numpy pandas python sklearn
Last synced: 14 Apr 2026
https://github.com/chewzzz1014/data-analysts-projects
coursework jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 19 Apr 2026
https://github.com/grand-27-master/fingers-tap
A real-time multi-finger tap detection system
mediapipe numpy opencv python3
Last synced: 14 Apr 2026
https://github.com/rohanrony19/movie-recommendation-system
This is a python project where using Pandas library we will find correlation and give the best recommendation for movies.
data-analysis deep-learning knn-algorithm numpy pandas python recommendation-system
Last synced: 14 Apr 2026
https://github.com/pedrosfaria2/analisetitulosnetflix
Estudo de popularidade dos filmes da Netflix no IMDB.
analise-de-dados data-analysis jupyter-notebook matplotlib numpy pandas python
Last synced: 14 Apr 2026
https://github.com/aqueeqazam/student-placements-using-machine-learning-and-flask
Through the use of Flask and machine learning, I show how to implement the student placement prediction model.
flask machine-learning numpy pandas
Last synced: 14 Apr 2026
https://github.com/matkorussovich/student-performance-analysis
Este repositorio contiene un análisis del desempeño académico de estudiantes, realizado como parte del módulo "Introducción al Data Science" en el Máster en Data Science de la Universidad Europea de Madrid.
jupyter-notebook matplotlib-pyplot numpy pandas python
Last synced: 14 Apr 2026
https://github.com/mizcausevic-dev/embedding-drift-graph
Track how entity embeddings drift across encoder model versions. SQLite store + Strawberry GraphQL API. Cosine drift events computed automatically on every record. Reference impl for RAG/eval pipelines re-encoding their corpus.
ai-governance drift-detection embeddings graphql llm numpy python rag sqlite strawberry-graphql vector-search
Last synced: 01 Jun 2026
https://github.com/anish37860/python_party
Python summer party by Interview Master & in partnership with DataCamp
Last synced: 06 May 2026
https://github.com/karthik9273/revolutionizing-gold-rate-forecasting-for-small-businesses-with-machine-learning
The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.
data-science google-colab-notebook jupyter-notebook machine-learning matplotlib numpy pandas-dataframe python seaborn sklearn
Last synced: 06 May 2026
https://github.com/cosmoquester/numpy-neural-net
This is neural network samples implemented with numpy without machine learning libraries.
implementation neural-network numpy
Last synced: 22 Jan 2026
https://github.com/mbarbetti/hello-snakemake
Simple implementation of snakemake to sample and plot data
hello-world matplotlib numpy python snakemake
Last synced: 14 Apr 2026
https://github.com/deepcloudlabs/dcl702-2021-jul-12
DCL-702: Data Analytics using Python
data-analytics numpy pandas python3
Last synced: 05 May 2026
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: 13 Apr 2026