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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/vortexv7/engagevision-yt
Thumbnail Engager is a Streamlit-based web app that uses AI to analyze YouTube thumbnails, providing actionable feedback to improve engagement. Upload a thumbnail to get insights on its strengths, weaknesses, and tips for maximizing views. Perfect for creators looking to optimize their visuals!
gcp numpy pandas python3 streamlit streamlit-cloud tensorflow youtubeapiv3
Last synced: 09 Apr 2026
https://github.com/docsallover/spam-detection
Building a Spam Filter with Python: Using Machine Learning to Combat Spam
datascience flask jinja2 machine-learning numpy numpy-library pandas pandas-python python python3 scikit-learn
Last synced: 09 Apr 2026
https://github.com/ahammadshawki8/numpy-journey
๐ Welcome to the journey with NumPy! From this repository, You can learn all about Numpy. โ
array beginner-friendly math numpy python
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https://github.com/islamshahil/machinelearning
A Fun Project - Using LinearRegression, Predicting the Value.
hacktoberfest linearregression machine-learning numpy pandas python sklearn
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https://github.com/srgrace/data-cleaning-challenge
Data Cleaning Challenge
data-science jupyter-notebook numpy pandas python scikit-learn
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https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering
This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters
jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning
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https://github.com/willprice/arsenal
Personal arsenal of python utilities
data-science machine-learning numpy pandas personal-tools python
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https://github.com/hariprasath-v/mh_google_cloud_bigquery_ltv_prediction_challenge
Build a model that can predict customers' Long Term Value (LTV).
bigquery colab-notebook klib machine-learning matplotlib numpy pandas python python3 seaborn
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https://github.com/hanai/nb_quantopian
้ๅไบคๆ็ฌ่ฎฐ
jupyter numpy pandas python quantitative tiingo
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https://github.com/datarohit/nfl-big-data-bowl-2022--analysis
This is a Jupyter Notebook containing the analysis performed on a Kaggle Competition Dataset which contains data about NFL players and games.
kaggle kaggle-competition matplotlib-pyplot numpy pandas plotly python seaborn
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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.
bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization
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https://github.com/burhanahmed1/data-analysis-with-python
Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.
data-analysis data-aquisition data-insights data-science data-wrangling dataanalytics datascience-machinelearning eda exploratory-data-analysis machine-learning-models matlpotlib numpy pandas practice-programming prediction-model python scikit-learn scikitlearn-machine-learning seaborn
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https://github.com/malwarebo/carcinet
Basic breast cancer detection using Machine Learning
deep-learning keras machine-learning matplotlib numpy python3 scipy tensorflow
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https://github.com/theankurgoswami/study-notes
Notes of topics I study.๐
deep-learning-book linear-algebra numpy opencv pandas regular-expressions sql tensorflow
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https://github.com/rickymagner/nonlinear-gradient-descent
An example of using gradient descent to approximate noisy data sampled from a cubic curve.
matlab matplotlib numpy octave pandas python
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https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app
This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.
bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss
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https://github.com/bhargav-joshi/img-caption-generator
Automatically creating the description or caption of an image using any natural language sentences is a very challenging task. It requires both methods from computer vision to understand the content of the image and a language model from the field of natural language processing to turn the understanding of the image into words in the right order. In addition to that we have discussed how this model can be implemented on web and will be accessible for end user as well.
flask jupyter-notebook keras machine-learning nlp nltk numpy pandas python tensorflow
Last synced: 09 Apr 2026
https://github.com/franklingu/ml_foundations
Machine Learning Foundations from University of Washington, rewrite in numpy, pandas, scipy and sklearn
coursera jupyter-notebook machine-learning numpy pandas scipy sklearn
Last synced: 07 Apr 2026
https://github.com/khaymanii/wine-quality-prediction-model
This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm
matplotlib numpy pandas python sckit-learn
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https://github.com/ZauJulio/FeaturesAnalyzer
Python data analyze and machine learning tool
gtk machine-learning numpy pandas python sklearn
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https://github.com/haloapping/ml-workflow
Template alur kerja machine learning.
mahine-learning numpy pandas python3 scikit-learn
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https://github.com/dwarkadhish2005/house-price-predictor
Applied neural network for machine learning and done many analysis of data
keras matplotlib numpy pandas python seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/affan-ch/gesture-talk-ai
GestureTalkAI: Decode hand language with precision. This AI project utilizes cutting-edge computer vision for real-time hand gesture detection, unveiling the unspoken messages conveyed through intuitive movements.
Last synced: 09 Apr 2026
https://github.com/nguyenanhtuan1912/computer_vision_exercises
Trong nร y sแบฝ chแปฉa cรกc file source vแป bร i tแบญp Computer Vision.
computer-vision numpy opencv python
Last synced: 12 Apr 2026
https://github.com/cchandre/vm15d
Hamiltonian fluid reduction of the 1.5D Vlasov-Maxwell equations
fluid-simulation fluid-solver hamiltonian kinetic-modeling mathematica matlab numpy plasma-physics python3 scipy vlasov-equation vlasov-solver
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https://github.com/c0sogi/python-dcm
A high-performance Python package for handling ETAS DCM(Data Conversion Format) files used in engine calibration tools like INCA, MDA, EHANDBOOK, and CANape.
automotive dcm ecu-calibration etas inca numpy pandas python
Last synced: 12 Aug 2025
https://github.com/prathameshdhande22/data-visualization-tutorial
Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial
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Last synced: 09 Apr 2026
https://github.com/alexandrbig1/py-design-analysis-algo
Advanced Python project on the design and analysis of algorithms. Includes practical modules on dynamic programming, graph theory, big data (Bloom filter, HyperLogLog), parallel computing (MapReduce), and optimization. Uses libraries like NumPy, Matplotlib, NetworkX, BTrees, PrettyTable, and Datasketch for efficient computation and visualization.
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https://github.com/htlinh0604/invoice-data-extraction
This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bรกch Hรณa Xanh)..
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https://github.com/zazi2002/neuroscience-project-cnn
This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.
cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing
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https://github.com/meqdaddev/pixcraft
Welcome to PixCraft... Unleash the Power of Pixels
edge-detection flask gaussian-blur image-processing matplotlib matplotlib-pyplot numpy opencv opencv-python python
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https://github.com/mrtarantoga/mdl-density-histogram
Cython-accelerated MDL histogram density estimation. Implements Kontkanen & Myllymaki's dynamic programming algorithm for optimal variable-width bins, parametric complexity with Ramanujan approximations, and automatic bin count selection. Based on "MDL Histogram Density Estimation" (JMLR 2007).
cython-library mdl numpy pypi-package python3
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https://github.com/jswong65/machine_learning_nanodegree
Projects of Udacity Machine Learning nanodegree
machine-learning numpy pandas python scikit-learn scipy
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https://github.com/skywalkersam/ml-101
Machine Learning 101
ai-ml jupyter-notebooks matplotlib ml ml-framework numpy pandas python3 scikit-learn tensorflow
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https://github.com/santoshn86/image-classification
This is an end-to-end project wehre I have used my friends images dataset for Image classification using logistic regreesion. It's applications may be used in Security and Surveillance, Criminal's classification & detection .
data-science flask-server html-css-javascript jupyter-notebook machine-learning matplotlib-pyplot numpy opencv pandas python sklearn-metrics
Last synced: 11 Apr 2026
https://github.com/richecr/projetocrowd4city
Repositรณrio para desenvolver as atividades realizadas para o projeto do LSI - Crowd4City
bert-as-service bi-lstm gensim lda nltk-python numpy numpy-library pandas python sklearn spacy-nlp speech-recognition tf-idf topic-modeling twitter-api web-scraping xgboost youtube-dl
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https://github.com/garcane/income-prediction-ml
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 08 Apr 2026
https://github.com/sahajrajmalla/co2-calculator-api
A Web Application backend API that enables people to create events, join events, and measure the carbon footprint produced by each participant to get insights about online and onsite carbon emissions.
apis carbon-emissions carbon-footprint fastapi makefile numpy pandas precommit sqlalchemy sqlite3 uvicorn
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https://github.com/ndohvich/time_series
time series analyse with python language
data-science data-visualization numpy pandas python time-series
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https://github.com/upul/indi
Small Machine Learning library written in Python
algorithms machine-learning numpy python scipy
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https://github.com/nolan-lwin/bells-palsy-ml-research
A Machine Learning Model to Grade the Severity of Bell's Palsy
artificial-intelligence dlib healthtech jupyter-notebook machine-learning matplotlib numpy opencv pandas python research scikit-learn scipy
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https://github.com/culeshovi/cs229
Machine Learning
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https://github.com/roma-glushko/numpy-katas
๐งฎ Exercises to sharp scientific computations with Numpy
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https://github.com/dulajkavinda/live-sketching
โ๏ธ Converting live video stream from webcam into a sketch using OpenVC and Keras
added image-filtering keras machinelearning matplotlib numpy opencv python
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https://github.com/balaji24092001/python
All python related content: notes, problems, progress archive.
matplotlib numpy opencv pandas python3 scipy-stats seaborn sklearn sqllite
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https://github.com/ksharma67/ibm-stock-predication-wiith-eda
In this i tried to design a model that can predict the price of stock using different methods and algorithms.
bullish-signal death-cross decision-tree eda golden-cross gradient-boosting knn machine-learning-algorithms matplotlib numpy pandas prediction python random-forest scalar seaborn skit-learn svm xgboost
Last synced: 10 Apr 2026
https://github.com/thedevreda/python
My Full Backup Packagaes & Files Guide for Python ๐ทโโ๏ธ
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 20 Apr 2026
https://github.com/singhmnprt01/Custom-Deep-Neural-Network-Package
A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy
customized-deep-neural-network deep-learning-framework maths-behind-neural-network numpy
Last synced: 09 Jul 2025
https://github.com/zensam7/easy_my_ai
ะะธะฑะปะธะพัะตะบะฐ ะดะปั ัะพะทะดะฐะฝะธั ะะ, ะฝะฐะฟะธัะฐะฝะฐ ะะะะะะกะขะฌะฎ ั ะฝัะปั
genetic-algorithm library machine-learning neural-networks numpy q-learning
Last synced: 14 Feb 2026
https://github.com/mohamed3nan/udacity
Udacity Data Analysis Nanodegree Program
data-analysis data-visualization numpy pandas python
Last synced: 10 Apr 2026
https://github.com/tom474/rice_plant_disease_classification
[RMIT 2025A] COSC2753 - Machine Learning - Group Assignment
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 11 Jun 2025
https://github.com/octcarp-courses/sustech_cs303-ai_f23_works
(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.
Last synced: 08 May 2026
https://github.com/luizcalaca/deep-learning
Cรณdigos de Machine e Deep Learning
azure colab-notebook colaboratory convolutional-neural-networks deep-learning hog-features-extraction knn-classification neural-network notebooks numpy perceptron python rnn sklearn tensorflow
Last synced: 10 Apr 2026
https://github.com/tejasvi541/machine-learning
My Machine and Deep Learning Practice and Projects Notebooks
matplotlib numpy python3 pytorch sklearn tensorflow
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https://github.com/georgiivoyakin/mirea-big-data
Python Big Data programming tasks for institute
apriori-algorithm apriori-algorithm-python fpgrowth jupyter-notebook numpy pandas plotly python python3 scipy sklearn
Last synced: 10 Apr 2026
https://github.com/madhurimarawat/python-for-datascience
This repository contains programs in the python programming language.
array basic-programs conditional-statements csv-files data-structures datatypes exception-handling first-class-functions functions list looping-statements matplotlib numpy object-oriented-programming operators pandas priority-queue python-3 queue stack
Last synced: 23 Aug 2025
https://github.com/ansub/mask-detection
A Mask Detection Application using Keras/TensorFlow and OpenCV.
keras numpy opencv python tensorflow
Last synced: 10 Apr 2026
https://github.com/mousazourob/stockdataresampler
Python script that resamples an instruments minute by minute candle stick data to any interval
alpha-vantage-api numpy pandas python
Last synced: 07 May 2026
https://github.com/mayankmittal29/stockvision
Stock price predictor LSTM Sequential Model with Dropout Regularization by which we can analyse any stock tickers, do its fundamental analysis using fundamental ratios and charts visualisations of 100MA and 200MA and can also predict stock price for next 10 days with its trend. Can also view candle stick charts for stock trading and latest news.
keras lstm-neural-networks matplotlib-pyplot mplfinance numpy pandas python scikit-learn streamlit yfinance-api
Last synced: 07 Apr 2026
https://github.com/mohd-tahzeeb-khan/reverse_dcf-calculator-and-vistualization
This Dashboard is Developed by me. I had Applied for Internship in which i had to develop this Dashboard to showcase my skill and talent.
beautifulsoup bs4 dash dashboard dataframes flask numpy pandas plotly plotly-dash plotly-express python requests shares stock-market
Last synced: 14 Apr 2026
https://github.com/fayzi-dev/machin_learning
Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)
algorithms artificial-neural-networks logistic-regression machine-learning matplotlib matplotlib-pyplot naive-bayes-classifier numpy pandas python python3 seaborn seaborn-plots sklearn sklearn-knn sklearn-library sklearn-linear-model sklearn-linear-regression sklearn-metrics sklearn-svm
Last synced: 09 Apr 2025
https://github.com/abdul-rafay19/cnnect-classifier
A real-time image classification app built with PyTorch and deployed using Streamlit. CNNect-Classifier uses a custom-trained CNN on the CIFAR-10 dataset to predict image classes with confidence scores. Designed to demonstrate end-to-end deep learning deployment โ from training to user-facing web app.
ai artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks cifar-10 cifar10 cnn cnn-classification cnn-model cnnect deep-learning machine-learning neural-network neural-networks numpy python pytorch pytorch-cnn streamlit streamlit-webapp
Last synced: 11 Apr 2026
https://github.com/emperoryp7/covid-simulator
Application simulating the spread of COVID-19
covid-19 numpy pandemic-simulator python3 simulator
Last synced: 18 May 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: 18 May 2026
https://github.com/mnitin-reddy/reducing-review-overhead-with-ml-based-application-screening
A machine learning classification project to filter out low-probability visa applications using historical data. It features an end-to-end implementation with CI/CD on AWS, achieving 93% accuracy with a KNN model optimized through Optuna, alongside integration of MLOps tools like Evidently and MLflow.
aws docker githubactions hypothesistesting machinelearning matplotlib mlflow mlops mongodb numpy optuna pandas python scikit-learn seaborn
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https://github.com/nikita620/phishing-website-detection-by-machine-learning-techniques
Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as blacklist, heuristic, Etc.
bagging boosting decision-trees numpy pandas python random-forest sckiit-learn sql
Last synced: 10 Apr 2026
https://github.com/alibowndyn/flickerforge
A customizable image and GIF generator mimicking old television static, offering control over colors, blur, dimensions, pixel size, and many more.
Last synced: 05 May 2026
https://github.com/islam-hady9/heart-attack-analysis-prediction-using-ann
Heart Attack Analysis & Prediction using Artificial Neural Network
artificial-neural-networks data-analysis deep-learning eda machine-learning matplotlib numpy pandas python tensorflow
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https://github.com/jbayardo/aa-tp1
Machine learning on spam
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https://github.com/cusyio/datenverarbeitung-mit-numpy
Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.
Last synced: 08 Jun 2026
https://github.com/surtecha/multi-physics-simulation-engine
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jax numpy physics pygame python scipy simulation
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https://github.com/thamirisq/data_analysis_culinary_journey
Project to analyze key information from Culinary Jorney, a marketplace Company, and develop an initial strategy to lead the entire team effectively.
folium-maps groupby-method jupyter-notebook markercluster marketplace-ds matplotlib-pyplot numpy pandas pandas-dataframe streamlit
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https://github.com/kumartusha/data_scientist-ai-ml-_training_anudip_foundation
Anudip Foundation Data Analytics Training ๐ A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: ๐งน Data Cleaning & Preprocessing ๐ Data Visualization & EDA ๐ Statistical Analysis
excel matplotlib numpy pandas powerbi python scipy sql
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pythonๅบ(numpy,pandas...)ๅญฆไน
matplotlib numpy pandas python3 xgboost
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https://github.com/cesarmartinez7/anchorports
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arp colorama-librairy nmap numpy pyfiglet python python-nmap scapy-library
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https://github.com/subhash3/neural_net_using_numpy
Feed Forward Neural Networks using Numpy
feedforward-neural-network from-scratch neural-network nicenet numpy python3
Last synced: 14 Apr 2025
https://github.com/williyam-m/movie-recommendation-system
Developed a web app with a cosine similarity machine learning model for personalized recommendations based on user history, likes, bookmarks, and activity. Implemented user auth and CRUD operations for movies.
django machine-learning numpy pandas prediction-model python scikit-learn
Last synced: 10 Apr 2026
https://github.com/localhostpib/pythonplayground
Playground of destruction :-D
bootstrap designpatterns docker flask html jupyter-notebook matplotlib numpy office365 pandas plone5 plotly pygal python rest-api schedule seaborn sharepoint tal totp
Last synced: 10 Apr 2026
https://github.com/kento75/chainer-learn
chainer deep-learning numpy python36
Last synced: 01 May 2026
https://github.com/simran1002/strip-analyzer
The Strip Color Identification is used to analyze images of urine strips uploaded by users. Using computer vision techniques, particularly leveraging OpenCV, the interface identifies and extracts the colors present on the strip.
flask multer nodejs numpy opencv python reactjs
Last synced: 10 Apr 2026
https://github.com/mgobeaalcoba/survival_predictor_on_the_titanic_scikit_learn
Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.
matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction
Last synced: 10 Apr 2026
https://github.com/prayag2003/stock-trend-prediction-lstm-model
My first ML Project on Stock Trend Prediction๐๐ The dataset consists of stock opening, closing, high, low data values scrapped from Yahoo Finance from the year 2010 to 2022. The LSTM ( Long Short-Term Memory ) deep learning model shares the idealogy of Time Series.
numpy pandas sklearn stock-trend-prediction
Last synced: 04 Apr 2025
https://github.com/lolosoares/dataanalises
This repository shows my projects made in my journey learning about data analises, ciency, engeniering and ML.
acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba
Last synced: 10 Apr 2026
https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing
Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts
colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn
Last synced: 12 Apr 2026
https://github.com/salmandeveloperz/ml_house_prediction
project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.
classification-model clustering deep-learning machine-learning matplotlib numpy pandas python3 regression-models scikit-learn
Last synced: 10 Apr 2026
https://github.com/iv4n-ga6l/human-motion-capture
Realtime Human Motion Tracking and Analysis
human-pose-estimation mediapipe motion-analysis motion-tracking numpy opencv python
Last synced: 06 Apr 2026
https://github.com/dmarks84/coursework_coursework_project_automobile-sales-visualization
Project for IBM Data Science course on Visualization & Dashboards -- Analyzed historical sales data, performing EDA and setting up an interactive dashboard
communication dash dashboards data-modeling elt etl folium matplotlib numpy pandas pipelines plotly python scipy seaborn visualization
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https://github.com/mothnik/robust_fourier
Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba
chebyshev-polynomials fourier-transform hermite-functions hermite-polynomials least-square-regression logsumexp numba numpy python robust-statistics
Last synced: 04 Jan 2026
https://github.com/aryansk/fake-news-detection
A sophisticated machine learning solution to detect fake news using multiple classification algorithms. Identify the credibility of news articles with advanced text analysis techniques!
fake-news-detection machine-learning machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/chandansoren/credit-card-fraud-detection
Credit card fraud detection through logistic regression.
logistic-regression machine-learning numpy pandas python sklearn
Last synced: 02 Apr 2026
https://github.com/34j/numpy-flint-arb
Arbitrary precision floating / ball arithmetic (interval arithmetic) dtype in NumPy / array API
acb arb arbitrary-precision array-api flint interval-arithmetic mpmath numpy
Last synced: 10 Mar 2026
https://github.com/datarohit/fifa-2020--data-analysis
This is dataset is from Kaggle.com which contains data of 18000+ fifa players with more than 100 features about them for analysis. Simple analysis performed on this Dataset.
exploratory-data-analysis exploratory-data-visualizations matplotlib-pyplot numpy pandas seaborn
Last synced: 10 Apr 2026
https://github.com/prashver/customer-segmentation
This project utilizes unsupervised machine learning to segment bank customers for targeted marketing campaigns. It covers tasks like data exploration, determining optimal clusters, and applying k-means for segmentation. Ideal for marketing departments in banking and retail industries.
customer-segmentation matplotlib numpy pandas seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/hamolicious/inversekinematics
Inverse Kinematics implementation in Python and PyGame
inverse-kinematics numpy pygame python
Last synced: 18 May 2026
https://github.com/rafinhadufluxo/calculonumerico
Trabalhos de Cรกlculo Numรฉrico UFFS ๐๐
calculate-numbers exercices matematica mathematical-modelling matplotlib-figures numpy python3 student
Last synced: 11 Sep 2025
https://github.com/g-eoj/cv-tl-keras
Use the cross validation functions from scikit-learn to evaluate image classification transfer learning with Keras models.
cross-validation keras numpy scikit-learn transfer-learning
Last synced: 10 Apr 2026