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: 2026-01-22 00:17:58 UTC
- JSON Representation
https://github.com/g0r0kh/hh_api_app
labour market metrics app
api flet flutter json matplotlib numpy pandas
Last synced: 23 Oct 2025
https://github.com/engageintellect/bitcoin-price-predictor
This Python project predicts whether the price of Bitcoin will increase or decrease on the next day, using historical price data and machine learning. Additionally, the project visualizes Bitcoin's price movements using candlestick charts along with moving averages for different timeframes.
bitcoin machine-learning matplotlib mplfinance numpy pandas python scikit-learn visualization yfinance
Last synced: 23 Oct 2025
https://github.com/christopher-altman/sqnt-hardware-demo
Adaptive quantum networks in practice: superposed graph topologies and operator-space spatialization, with reproducible hardware-relevant demos and figures.
adaptive-quantum-networks deterministic-experiments graph-neural-networks hardware-aware-ml identifiability inverse-problems mixture-models model-identifiability numpy operator-space pennylane qiskit quantum-compilation quantum-machine-learning quantum-neural-networks reproducible-research superposed-graph-topologies superpositional-topologies support-recovery topology-learning
Last synced: 22 Jan 2026
https://github.com/rudreshveerkhare/numras
Artificial Neural Network Implementation like Keras From Scratch using Numpy
deep-learning keras-neural-networks neural-network numpy optimization-algorithms
Last synced: 14 Oct 2025
https://github.com/iusztinpaul/airbnb-data-analysis
Airbnb data analysis on the biggest cities in The Netherlands following the CRISP-DM methodology.
airbnb data datanalysis datascience machine-learning numpy pandas python
Last synced: 23 Oct 2025
https://github.com/amirzenoozi/image-color-analyzer
A Simple Color CLI Analyzer For Images
analyzer chart cli color color-analysis color-palette color-scheme fastapi kmeans kmeans-algorithm kmeans-clustering kmeans-clustering-algorithm matplotlib numpy opencv python python-script python3 telegram-bot uvicorn
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https://github.com/spockoo/pylegend
A fusion between Python and legend, a name that suggests that the code is both modern and mythical. 3 months of work, with tons of errors to establish the calculations necessary for the superposition, I want to publish my work and improve it and share it under Apache 2.0 License. Designed to work with NBminer!
crypto crypto-tools how-to-farm-crypto kerastuner matplotlib matrix-multiplication mining nbminer numpy performance-optimization pickle project quantum quantumcircuits quantumcomputing qubits scikit-learn tensorflow
Last synced: 27 Jan 2026
https://github.com/lucasalegre/backpropagation
Implementation of a fully connected neural network from scratch using numpy.
classification machine-learning neural-network numpy
Last synced: 26 Oct 2025
https://github.com/djbyrne/neural-network-from-scratch-tumour-diagnosis
This notebook goes through how to build a neural network using only numpy. The network classifies tumours, identifying if they are malignant or benign. This notebook uses the Breast Cancer Wisconsin dataset.
artificial-intelligence cloud-computing deep-learning-tutorial machine-learning neural-network neural-networks-from-scratch numpy python tutorial
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https://github.com/rohitpawar001/machine_learning
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classification hyperparameter-tuning linear-regression logistic-regression machine-learning naive-bayes numpy pandas python regression scikit-learn smote svm
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https://github.com/vaibhav-kesarwani/books_recommendation_system
A 𝗕𝗼𝗼𝗸 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 📚 uses algorithms to suggest books based on user preferences and behavior. It personalizes recommendations, helping readers discover new titles that match their interests 🌟.
dataset jupyter-notebook numpy pandas plotly python3 sklearn
Last synced: 24 Oct 2025
https://github.com/anwarulh007/medheaven--federated-learning-with-homomorphic-encryption-for-healthcare-data
MedHeaven is an innovative solution designed to revolutionize healthcare by empowering hospitals and medical institutions to collaborate on machine learning models without compromising patient privacy. Using federated learning and advanced homomorphic encryption techniques, MedHeaven ensures that sensitive medical data remains secure.
federated-learning homomorphic-encryption numpy python scipy tensorflow
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https://github.com/miteshputhran/analysis-using-python
Analysis using Natural Language Toolkit(NLTK), Numpy, Pandas and Matplotlib
analysis folder-structure json matplotlib nltk numpy pandas python zipf
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https://github.com/wtanaka/ansible-role-numpy
Ansible role to install numpy for Python
ansible ansible-galaxy ansible-role ansible-roles galaxy linear-algebra linear-algebra-library linearalgebra math mathematics numpy python scientific scientific-computing
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https://github.com/gauravsakure02/project_titanic_eda
This Project includes Exploratory Data Analysis of the Titanic Dataset
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https://github.com/varun-khorgade/churnshield-customer-retention-predictor
Built an ML-based classification model to predict customer churn. Applied data preprocessing, feature engineering, and ensemble algorithms to improve prediction accuracy and help businesses implement retention strategies.
classification-algorithm datapreprocessing f1-score feature-engineering hyperparameter-tuning logistic-regression matplotlib model-evaluation numpy pandas python ran roc-auc scikit-learn seaborn xgboost
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https://github.com/itzzmeakhi/investigate-tmdb-dataset
Tmdb dataset is taken to perform analysis. Messy data is cleaned by performing many steps like dropping null values and rising values and analyzing correlation among them using visualization techniques using matplotlib and seaboarn to derive the answers that i imposed during the early stages of analysis.
csv matplotlib numpy pandas python3 seaborn
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https://github.com/bestmahdi2/uni__dataminningstackoverflowproject
A university project related to data mining lesson on StackOverflow website data with Python language
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Last synced: 05 Oct 2025
https://github.com/ahmed-hassan-ai/nlp-sentiment-analysis
Sentiment Analysis
dropout keras lstm matplotlib numpy pandas regularization seaborn
Last synced: 05 Oct 2025
https://github.com/avs123a/image-color-spaces-morphology-demo
Simple demo that shows extracting RGB and HSV channels, converting from RGB to HSV and reverse converting. There are 4 main morphological operations used: erosion, diletion, opening and closing image
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Last synced: 05 Oct 2025
https://github.com/khaymanii/titanic_survival_prediction_-model
This Model was built using Python and Logistic Regression algorithm
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https://github.com/shreeparab1890/movie-recommender-system
This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
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https://github.com/cchandre/kh
Kramers-Henneberger reductions of Hamiltonian dynamics
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https://github.com/abhijeet107/electric-vehicle-sales-by-state-in-india
This project analyzes EV sales data across Indian states, focusing on sales distribution by vehicle type, category, and region.
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https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis
This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.
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https://github.com/neetigyab/pdfreader
Ready to use Python application/file for parsing a specific format of pdf form, and storing relevant user data in a tabular format in excel sheet
excel forms matplotlib numpy ocr opencv-python pandas pdf pdf-converter pdfplumber pytesseract python
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https://github.com/264gaurav/deep-learning
Deep Learning and Neural Network learning/building and exploring
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https://github.com/framebuffers/mindhunter
Wrappers for Pandas DataFrames to add quicker access for common statistical values, utilities and functionality.
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https://github.com/xmcp/waver
Wave file generator
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This model was built using Python and XGBoost Regression algorithm
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Python scripts for data cleaning and processing for AYNM (Pandas/NumPy/Selenium/Azure Cognitive Services)
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Introduction to Neural Networks (Create a neural network using Numpy)
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https://github.com/faisal-khann/comprehensive_banking_portfolio
This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.
data-manipulation eda matplotlib numpy pandas powerbi python seaborn
Last synced: 08 Oct 2025
https://github.com/jilliennelapid/finalproject_group53
Final Project for COP2080. Audio Graphical software that works with mono-channel .wav files and plots them in various ways.
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https://github.com/carlthome/ipytoolbox
A collection of IPython magics and other utilities
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https://github.com/savernish/forgenn
forgeNN is a in-development purpose‑built neural network framework combining a transparent NumPy autograd engine with a Keras‑like API and performance oriented primitives. Developed by a college student with an ambitious feature pipeline.
artificial-intelligence deep-learning keras machine-learning mlp-networks neural-network numpy pytorch tensorflow tensors
Last synced: 08 Oct 2025
https://github.com/rajharit77/weather-project
Repository for exam on the openweathermap api's project
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https://github.com/datarohit/car-evaluation--classification
This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.
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Last synced: 09 Oct 2025
https://github.com/kshitijshrivastava1903/neural_network_analysis_on_lending_club-dataset
Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.
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https://github.com/madhuresh2011/telco-customer-churn-analysis-using-python
The analysis primarily investigates factors influencing customer churn, particularly focusing on payment methods and contract types.
csv data-analysis matplotlib numpy pandas pyhton seaborn vizualisation
Last synced: 09 Oct 2025
https://github.com/harmonicode/image-mixer
A PyQt5-based application for real-time image processing and reconstruction using frequency components like magnitude, phase, real, and imaginary parts. Adjust brightness and contrast, and mix images with ease.
fourier-transform image-processing numpy opencv pyqt5 python signal-processing
Last synced: 09 Oct 2025
https://github.com/5hraddha/sentiment-analysis
An innovative system for filtering and categorizing movie reviews
countvectorizer dummyclassifier lgbmclassifier logisticregression matplotlib minmaxscaler nltk nltk-stopwords nltk-tokenizer numpy pandas seaborn spacy tfidfvectorizer torch tqdm transformers
Last synced: 18 Jan 2026
https://github.com/lakhidaksh-01/carinsightanalyzer
Interactive Car Ratings & Insights
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https://github.com/flazefy2/ds-global_cybersecurity_threats
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https://github.com/rish-16/linearly
Discount NumPu implementation using barebones Linear Algebra concepts
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https://github.com/zazi2002/machine-learning-project
Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.
dimentionality-reduction ensemble-learning numpy pca random-forest scikit-learn
Last synced: 09 Oct 2025
https://github.com/sahil210695/tensorflow-model-deploy
Example how to deploy your TensorFlow model in production using the Tensorflow-serving
deployment docker docker-image linear-regression machine-learning numpy prediction python savedmodel tensorflow tensorflow-examples tensorflow-experiments tensorflow-graph tensorflow-model tensorflow-models tensorflow-serving tensorflow-tutorials
Last synced: 21 Jan 2026
https://github.com/cosama/vasapy
Vectorized Associative Arrays for Python
associative-array associative-map dictionary numpy python vectorized
Last synced: 09 Oct 2025
https://github.com/cchandre/gc2d
Guiding-center dynamics in plasma physics
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https://github.com/peterfication/num-peek
A CLI tool to peek into *.npy files
Last synced: 20 Jan 2026
https://github.com/evardnk/dataanalyticsportfolio
Собрание моих проектов по аналитике данных
api automation data-analysis etl-pipeline jupyter-notebook jupyterlab kpis numpy pandas pipeline postgresql powerbi python sql visualization
Last synced: 10 Oct 2025
https://github.com/parneet-sandhu/virtual-try-on
This project uses OpenCV, Mediapipe, and NumPy to create an interactive virtual try-on experience. The application overlays a virtual accessory (e.g., glasses) onto the user's face using webcam input and allows users to control the brightness of the camera feed and capture screenshots using hand gestures.
computer-vision mediapipe numpy opencv python tkinter
Last synced: 19 Jan 2026
https://github.com/smusab9152/pokemon_data_analysis
This repo that explores and analyzes a dataset of Pokémon attributes. The analysis includes data cleaning, exploratory data analysis (EDA), and visualizations .
analytics data-analysis data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas pokemon python seaborn statistical-analysis
Last synced: 10 Oct 2025
https://github.com/briankopp/fewerbytes
compress numpy arrays. binary and numeric techniques for numpy compression
compress compression numpy python python3 storage
Last synced: 10 Oct 2025
https://github.com/otuemre/simplenet
A simple neural network framework built from scratch using Python and NumPy. Designed as a learning tool, SimpleNET includes essential layers, activation functions, and loss functions, enabling users to build and train basic neural networks from the ground up.
backpropagation deep-learning from-scratch machine-learning neural-network numpy python
Last synced: 20 Oct 2025
https://github.com/qua77i20/ai2
A simple single-layer neural network (perceptron) built in Python. Demonstrates backpropagation training from scratch for beginners.
ai backpropagation data-science deep-learning machine-learning neural-network numpy perceptron python
Last synced: 10 Oct 2025
https://github.com/cyberoctane29/unicorn-companies-analysis
This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.
data-analysis eda numpy pandas python
Last synced: 10 Oct 2025
https://github.com/gauravsakure02/python_libraries
Data Analysis using Python libraries
matplotlib numpy pandas-library streamlit
Last synced: 10 Oct 2025
https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning
Last synced: 10 Oct 2025
https://github.com/varshneydevansh/machinelearning-101
This repository is about various Algorithm's and Implementations in ML
artificial-intelligence artificial-neural-networks computer-science computer-vision deep-learning machine-intelligence machine-learning machine-learning-algorithms machinelearning neural-network numpy numpy-tutorial python tensorflow tensorflow-tutorials tutorial tutorial-exercises
Last synced: 10 Oct 2025
https://github.com/hokagem/byakuganvisualizer
The ByakuganVisualizer repository hosts a Python tool designed to compare images and highlight their differences. It simplifies the process of identifying disparities between images, making it ideal for tasks like testing and quality assurance. Moreover, it offers a color filter that can be used to correct images for color-blind users.
color-blind color-correction colorblind image-manipulation numpy pillow
Last synced: 21 Jan 2026
https://github.com/arunagirinathan-k/text-classifier-using-nlp_techniques
A Text Classification using NLP Techniques.
matplotlib nlp nltk numpy pandas scikit-learn seaborn spacy text-classification
Last synced: 30 Dec 2025
https://github.com/smallgig/pickomino
Reinforcement Learning Environment with Gymnasium API
api ci coverage-testing gymnasium mypy numpy pip pre-commit pycharm pygame pylint pyright pytest pytest-cov python reinforcement-learning-environments ruff toml xenon
Last synced: 19 Jan 2026
https://github.com/bursasha/deeplearningai-machine-learning-tensorflow-course
Projects and certificates from a machine learning course focused on TensorFlow and Keras, covering neural networks, CNNs, NLP, and time series analysis 🧠
convolutional-neural-networks deeplearning-ai keras machine-learning mlcourse natural-language-processing neural-networks numpy pandas python-machine-learning recurrent-neural-networks tensorflow
Last synced: 30 Dec 2025
https://github.com/rixiiz/using-knn-to-predict-the-obp-of-mlb-players
Using KNN to predict the On Base Percentage (OBP) of Major League Baseball (MLB) players at the end of the season
artificial-intelligence dataset f1-score jupyter-notebook knn-regression machine-learning matplotlib mse numpy pandas python scikit-learn supervised-learning
Last synced: 30 Dec 2025
https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning
This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.
matplotlib numpy pandas python scikit-learn seaborn support-vector-machine
Last synced: 19 Jan 2026
https://github.com/steventete/integral-app
IntegralApp is a Python-based GUI application designed to simplify the calculation of definite integrals using numerical methods.
desktop-app numerical-methods numpy pyqt5 python
Last synced: 12 Oct 2025
https://github.com/nomadsdev/financial-trend-analyzer
FinancialTrendAnalyzer helps analyze and visualize sales data to uncover financial trends. It uses Python to calculate total sales, track changes, and generate insightful charts for better decision-making.
business-intelligence data-analysis data-visualization financial-analysis matplotlib numpy pandas python revenue-trends sales-data seaborn time-series-analysis
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https://github.com/csirmaz/hypergeometry
Geometric tools for an arbitrary number of dimensions
4d cgi geometry numpy python raytracing
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https://github.com/omerkel/fractals
Rendering Fractals like Hilbert curves, Julia sets and Mandelbrot sets in various techniques.
fractals glsl-shaders hilbert-curve julia-sets jupyter-notebook mandelbrot-sets matplotlib numpy webgl-shader
Last synced: 04 Nov 2025
https://github.com/javierkaiser9/rgb-d_dual_input_machine_learning_model
This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO
efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow
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https://github.com/ankushmallick1100/diabetes-prediction-of-females-using-maching-learning-techniques
This is a machine learning work that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LR with CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
Last synced: 30 Dec 2025
https://github.com/mahiponii/hyperion_sort
lz4 numba numpy pandas-python python python3 scipy sorting-algorithms tensorflow
Last synced: 13 Oct 2025
https://github.com/yukti-09/linear-regression
A small code for understanding linear regression.
linear-regression matplotlib mean-squared-error numpy
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https://github.com/zolabar/interactive-calculus
Interactive Calculus with SymPy and Jupyter Widgets
ipywidgets jupyter-notebook numpy plotly python sympy voila-dashboard
Last synced: 13 Oct 2025
https://github.com/vidhi1290/text-classification-model-with-attention-mechanism-nlp
This Python project utilizes PyTorch to perform text classification with an attention mechanism. Pre-trained GloVe embeddings are processed for word representation, and a custom attention model is trained on consumer complaint data to categorize complaints into product categories.🎯
attention-mechanism deeplearning machine-learning nlp nltk numpy pandas python pytorch scikit-learn text-classification tqdm
Last synced: 30 Dec 2025
https://github.com/sarthak-1408/rain-fall-prediction
This repository represents the End to End Machine Learning Project (Rain Fall Prediction in Australia).
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https://github.com/aminakbari7/simple-data-science-with-excel
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Last synced: 29 Oct 2025
https://github.com/mahboobehad/ocausal
Outlier Causal Relations
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Last synced: 13 Oct 2025
https://github.com/nekruzash/machine-learning-decision-trees
This is from CS2023 - AI/DS/ML class, trained a machine learning model with heart disease data sets to predict a correlation using numpy and pandas.
jupyter-notebook numpy pandas python
Last synced: 13 Oct 2025
https://github.com/nomadsdev/frequency-insight
SoundFreqAnalyzer: A Python tool to record audio, analyze frequencies, and save results.
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Last synced: 13 Oct 2025
https://github.com/vedanty3/heart-disease-prediction
This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)
confusion-matrix correlation-matrices jupyter-notebook knn-classification logistic-regression machine-learning matplotlib numpy pandas python random-forest randomforestclassifier roccurve scikit-learn sklearn zerotomastery
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https://github.com/khaymanii/heart-disease-prediction-model
This repository contains a model built using python and Logistic Regression algorithm
matplotlib numpy pandas python sckit-learn
Last synced: 14 Oct 2025
https://github.com/tynab/machine-learning-overview
CyberSoft Machine Learning 03 - Overview
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https://github.com/msthamizh/bizcardx-extracting-business-card-data-with-ocr
Developing a Streamlit application that enables users to upload business card images and extract key details using easyOCR. The app allows users to manage the extracted data (view, update, delete) and securely stores it in a MySQL database. It also highlights extracted text directly on the business card image using Pillow.
easyocr mysql numpy pandas pillow python regular-expression streamlit
Last synced: 30 Dec 2025
https://github.com/antoniotejada/imageviewer
Simple but featured image viewer, designed for speed when browsing network drives and on low power computers like Raspberry Pi 2
image-processing image-processing-python image-viewer image-viewing imageviewer irfanview linux linux-app lxde numpy pyqt pyqt5 python python2 python27 qt qt5 raspberry-pi raspbian windows
Last synced: 22 Jan 2026
https://github.com/avinesh-masih/employee-report-generator
A Python-based tool that reads employee and purchase data from Excel, generates personalized PDF reports using FPDF, and organizes them into folders. Includes a progress bar for tracking report generation.
excel flask fpdf matplotlib numpy pandas python seaborn
Last synced: 14 Oct 2025
https://github.com/shsiena/Evolutionary-Dots
A simple pygame genetic-algorithm project simulating evolution of dots to find a path around obstacles to a goal.
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Last synced: 14 Oct 2025
https://github.com/bielstela/connect-four
Numpy implementation of the game connect four (AKA four in a row)
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Last synced: 14 Oct 2025
https://github.com/sultanazhari/credit-scoring
A bank Company Wants to Analize their customer borrower defaults. as a Analyst we're giving the report of category and classification that have a big probability as a customer borrower default.
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https://github.com/gracysapra/pandas-numpy-data-visualisation
This repository contains essential Python scripts and notebooks for data analysis and visualization. It includes: pandas: Data manipulation and analysis, including operations on series and dataframes. NumPy: Efficient numerical computations and array processing. Data Visualization: Creating insightful visualizations using Matplotlib and Seaborn.
data-science data-visualization matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-series seaborn
Last synced: 15 Oct 2025
https://github.com/jesussantana/ibm-python-for-data-science-py0101en
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.
data-science numpy pandas python
Last synced: 15 Oct 2025
https://github.com/code-taweezy/thermos-ai
An AI-powered thermal optimization and anomaly detection system for energy-efficient data centers. Note: this is a MVP
ai case-study data-visualization lovable-ai machine-learning matpplotlib mvp numpy pandas project python sckiit-learn seaborn solution tensorflow
Last synced: 15 Oct 2025