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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/fatimaafzaal/car_price_prediction
Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.
car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/ahmedabdalkreem/machine_learning_with_cv
In this project work to extraction feature from shapes to be input of machine learning model.
chaincode computer-vision contour-detection feature-extraction machine-learning matplotlib numpy open-cv pandas python sklearn svc-model
Last synced: 10 Apr 2026
https://github.com/als8446/tripleten-data-science-projects
Projects Overview Projects made in the Data Scientist course from TripleTen LatAm
data data-analysis hypothesis-tests machine matplotlib numpy pandas python scipy sklearn
Last synced: 10 Apr 2026
https://github.com/lorenzorottigni/ml-iris-svm
Machine Learning python bootcamp: Support Vector Machines on iris flower dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
Last synced: 10 Apr 2026
https://github.com/bharath-tars/deeptumor
DeepTumor is a project aimed at developing a deep learning model with over 1 million parameters using TensorFlow. with automatic reporting feature
keras machine-learning numpy pandas pyhton tensorflow webdevelopment
Last synced: 10 Apr 2026
https://github.com/theanujsinha01/seoul-bike-sharing-demand-prediction
This project predicts the demand for bike-sharing services in Seoul using machine learning algorithms. It utilizes historical data and environmental factors to provide accurate predictions that can aid in resource optimization and planning.
data-cleaning data-science exploratory-data-analysis feature-engineering jupyter-notebook machine-learning matplotlib model numpy pandas seaborn
Last synced: 10 Apr 2026
https://github.com/adi3042/credit-card-fault-detection
ππ³ Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! π¨π FraudDetectionTech
classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv
Last synced: 03 Apr 2026
https://github.com/abideen-olawuwo/converted-logistic-regression
Converted Prediction Model
logistic-regression numpy pandas sklearn
Last synced: 10 Apr 2026
https://github.com/ralfkeo/detection-de-faux-billets-avec-python
OpenClassrooms parcours Data Analyst Projet 12
matplotlib-pyplot numpy pandas pickle plotly prediction-model python scipy seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/sahilk12nayak/hyperspectral-corn-don-prediction-project
This project contains a machine learning pipeline for predicting DON (vomitoxin) concentration in corn samples using hyperspectral imaging data.
matplotlib numpy pandas python scikit-learn seaborn tensorflow
Last synced: 10 Apr 2026
https://github.com/nihalrt/lung-cancer-data-analysis-
This is a data analysis report, created with python pandas, numpy, matplotlib, and seaborn. Provides valuable insights into the symptoms of lung cancer from a survey set.
matplotlib numpy pandas python seaborn
Last synced: 26 Jan 2026
https://github.com/sarmad426/python
Python mastery. OOP | Numpy | Pandas | Jupyter Notebook & more.
fastapi file-handling-in-python jupyter numpy oop pandas pytest python regex unit-tests
Last synced: 10 Apr 2026
https://github.com/rlxchap2/crypto-miner
π¨Crypto Miner is a Python project designed to encrypt and decrypt files, especially images, using the powerful cryptography library
crypto cryptography csv numpy pillow python
Last synced: 08 May 2026
https://github.com/ksasi/customer_segments
machine-learning numpy pandas python scikit-learn
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https://github.com/smirnovlad/data-science-notebooks
A collection of various data analysis approaches
data-science deep-learning kaggle machine-learning numpy pandas pytorch
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https://github.com/amruta33/housing_price_prediction
Consider a real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc.
linear-regression numpy pandas python rfe vif
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https://github.com/shivammg/coursera-ml-numpy
Coursera Machine Learning course done using Python, NumPy, and Seaborn
machine-learning numpy python seaborn
Last synced: 09 May 2026
https://github.com/snigdho8869/clustering-projects
Repository for various clustering projects including mall customer segmentation and more. Explore data analysis and clustering techniques
cluster-analysis clustering clustering-algorithm customer-segmentation deep-learning gaussian-mixture-models hierarchical-clustering hierarchical-models kmeans-algorithm kmeans-clustering machine-learning mall-customer-segmentation mall-customers numpy pandas scikit-learn segmentation spectral-clustering tensorflow
Last synced: 10 Apr 2026
https://github.com/aniruddhakhedkar/eda_for_chinese_automotive_company_teclov_chinese
Exploratory_Data_Analysis_Python_Project_1
datavisualization duplicate-detection imputation-methods numpy outlier-removal pandas seaborn statistical-analysis
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https://github.com/jkosla/neural_network_from_scratch_numpy
Neural Network From Scratch in Python | Build a simple neural network from scratch using pure Python and NumPy. Learn about forward propagation, backpropagation, and training with gradient descent. Accompanies my Medium article.
ai aritificial-intelligence medium nerual-networks numpy python3 tutorial
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https://github.com/szymon-budziak/fundamentals_of_deep_learning
Fundamentals of Deep Learning NVIDIA course.
deep-learning machine-learning numpy nvidia pandas python tensorflow
Last synced: 10 Apr 2026
https://github.com/khaymanii/spam_mail_detection_model
This model was built using Python and Logistics Regression algorithm
matplotlib numpy pandas python sckiit-learn
Last synced: 10 Apr 2026
https://github.com/anuuragg/numpyneuralnet
machine-learning matplotlib neural-network numpy pandas
Last synced: 18 Jan 2026
https://github.com/niteshchawla/logistics-nn-regression
The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.
adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models
Last synced: 10 Apr 2026
https://github.com/elon-fask/nlp_num1
Natural Language Processing with Disaster Tweets
ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing
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https://github.com/rama1997/lane-line-detection
Uses computer vision to detects lane lines on the road from images/videos using the POV of a driving vehicle
numpy opencv opencv-python python
Last synced: 10 Apr 2026
https://github.com/ahmedabdalkreem/connected_component_labeling
Technique used to detect small object in the image like shapes and number can used this technique in OCR.
computer-vision connected-components matplotlib numpy object-detection python rgb2gray threshold
Last synced: 11 Apr 2026
https://github.com/asghar-rizvi/youtube-statistics-project
This project analyzes a dataset of global YouTube statistics to uncover insights about YouTube channels, their ranks, and other attributes. The dataset used for this analysis was obtained from Kaggle.
data-analysis data-analysis-python data-science data-science-projects matplotlib numpy pandas pycharm-ide python seaborn
Last synced: 13 Jun 2026
https://github.com/navindafernando/feature-extraction
Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:
categorical-encoding feature-engineering flask handling-outlier html5 joblib label-encoding machine-learning numpy pandas polynomial-features quantile-transformer scaling
Last synced: 10 Apr 2026
https://github.com/solaris0051/simplenn
simple neural network. The comments accompanied with codes are written in English.
anaconda3 colab-notebook conda conda-env conda-packages jupyterlab latex machine-learning markdown matplotlib neural-network numpy object-oriented online-learning python3
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https://github.com/hussain-7/emotion_detection-master
Human Emotion Analysis using facial expressions in real-time from webcam feed. Based on the dataset from Kaggle's Facial Emotion Recognition Challenge.
keras-tensorflow matplotlib numpy opencv-python tensorflow
Last synced: 08 May 2026
https://github.com/mohamed15058/text_classification-digital-egypt-pioneers-initiative-project-
Text_Classification(Digital-Egypt-Pioneers-Initiative-Project )
depi mlops nlp nltk numpy panadas python3 twnsorflow
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https://github.com/sc0v0ne/ai-discipline-work
AI Discipline Work - Movie recommendation
jupyter-notebook machine-learning numpy pandas python python3
Last synced: 15 Apr 2025
https://github.com/paraskevi-kivroglou/rl-pong-agent
A project by Paraskevi Kivroglou as part of exploring deep reinforcement learning applications.
atari atari-games gym-environment gymnasium numpy python3 pytorch q-learning reinforcement-learning reinforcement-learning-agent
Last synced: 11 Apr 2026
https://github.com/farhad-here/data-visualization-analysis-dva
This is my data analysis project. Users can use this project to clean and preprocessing the date or data visualization. Individuals can impute or ecnode ther dataset.
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https://github.com/pardhuu66/college-id-validator
FastAPI-based offline College ID Validator with Docker support
base64 dnn docker easyocr fastapi mobilenetv2 numpy onnx onnxruntime opencv pillow pydantic python tensorflow uvicorn
Last synced: 11 Apr 2026
https://github.com/armahdavi/qff-evalation_code-data-processing-statistics-plotting
Data pipelines and processing codes, statistical modellings, descriptive statistics, and plot visualizations for QFF evaluation phase of for Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021 Full-length article: https://www.sciencedirect.com/science/article/abs/pii/S0269749120370779
data-science data-visualization histogram matplotlib matplotlib-pyplot numpy pandas python
Last synced: 11 Apr 2026
https://github.com/kishanlalchoudhary/te-sem-6
TE SEM 6 Assignments
cpp data-science dsa-cpp matplotlib nltk numpy pandas python salesforce scikit-learn seaborn
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/dmarks84/coursework_project_apache-airflow-kafka-on-toll-booth-data
Project for IBM Data Engineering & Python course on ETL & Big Data -- Read in live toll booth data, wrangles and transformed, and wrote into a SQL database
apache-airflow apache-kafka automation dags data-modeling databases eda elt etl mysql numpy pandas pipelines python sql
Last synced: 11 Apr 2026
https://github.com/i-am-nolan25/python-for-data-science-ai-development
Jupyter Notebooks from Python for Data Science, AI & Development Course
api beautifulsoup data-science data-visualization datacollection datastructures matplotlib numpy pandas python rest-api webscraping
Last synced: 06 Mar 2025
https://github.com/dhanish03/credit_card_fraud_detection
Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.
kaggle-dataset numpy pandas-dataframe python3 sklearn
Last synced: 16 Apr 2026
https://github.com/lucasgleria/seamese-network-algorithm
Este projeto implementa um sistema de busca por similaridade de imagens usando redes siamesas e Triplet Loss em PyTorch. Ele gera embeddings de imagens (MNIST com EfficientNet-B0) para encontrar visuais semelhantes. O foco estΓ‘ na anΓ‘lise visual e no aprendizado de representaΓ§Γ΅es no espaΓ§o vetorial.
google-colab matplotlib numpy pandas python pytorch timm
Last synced: 11 Apr 2026
https://github.com/riju18/from-data-production-to-client-handover
The common tedious problem is to build a data app to demonstrate the data analysis & analytics along with Machine Learning to a client. It was an attempt to do it on small scale in the most powerful & simplest way.
machine-learning matplotlib numpy pandas plotly python seaborn streamlit
Last synced: 30 Apr 2026
https://github.com/samir-atra/license-plate-recognition
License plate recognition system
imageai-library knn lpr numpy object-detection opencv python tensorflow tensorflow-tutorials
Last synced: 03 May 2026
https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure
A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.
eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn
Last synced: 11 Apr 2026
https://github.com/kishanlalchoudhary/be-sem-7
BE SEM 7 Assignments
blockchain cpp design-analysis-algorithms machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/jonad/boston_housing_price
Predicting Boston Housing Prices.
boston-housing-dataset jupyter-notebook matplotlib numpy pandas python3 scikit-learn
Last synced: 11 Apr 2026
https://github.com/rock12231/data-science-using-python-jupyter-notebook
Data Science Using Python Jupyter Notebook
data-science jupyter jupyter-notebook numpy pandas python
Last synced: 15 Mar 2025
https://github.com/andremenezesds/rossmann_sales_predict
Sales Prediction for Rossmann Pharmaceutics database using Machine Learning regression modeling
boruta cross-validation data-exploration data-science database flask-application git linux linux-shell machine-learning matplotlib numpy pandas python scipy sklearn xgboost-regression
Last synced: 11 Apr 2026
https://github.com/abideen-olawuwo/financial-inclusion
A Bank account Prediction in Africa
matplotlib numpy pandas python seaborn sklearn xgboost-classifier
Last synced: 10 Apr 2026
https://github.com/ngangawairimu/data-validation-using-python
Agricultural dataset validated using python code for usage. Building a data pipeline that will ingest and clean data with the press of a button.
jupyter-notebook numpy pandas pytest python
Last synced: 13 Apr 2026
https://github.com/oleksiilatypov/dru_data_science_fundamentals
DataRootUniversity, TensorFlow, Coursera, Kaggle
data-science kaggle machine-learning neural-network numpy pandas sklearn-library tensorflow
Last synced: 11 Apr 2026
https://github.com/nishi1612/knight-tour-problem
IT485 Logic of Inference Project on Knight's Tour. A hamiltonian path problem to determine path of knight to travel entire chessboard with every cell visited only once.
backtracking-algorithm bootstrap flask html knights-tour localhost numpy pygame python tkinter warnsdorff
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/mgitrov/lifespan-x-population-status
A machine learning project aiming to predict animals' lifespan and population status.
bs4 data-science machine-learning matplotlib numpy pandas python regular-expressions requests seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/nachtfeuer/covid19
Python script(s) for visualizing corona data
csv json matplotlib numpy pandas python requests tkinter
Last synced: 05 May 2026
https://github.com/kahngjoonkoh/randomshapegenerator
A program that will generate images with random shapes and background colours. Can be customized and generated in bulk.
generative-art numpy opencv python threading tkinter
Last synced: 11 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/matbesancon/kaggle-digit-recognizer
Some tests with the Kaggle Digit Recognition challenge
image-processing kaggle kaggle-digit-recognizer machine-learning mnist-dataset numpy pandas python scikit-image scikit-learn
Last synced: 11 Apr 2026
https://github.com/bhawnamehbubani/advanced-zomato-restaurant-clustering-and-sentiment-analysis
This project leverages this data to perform clustering and sentiment analysis, providing actionable insights for customers and business growth.
matplotlib-pyplot nltk numpy pandas seaborn sklearn wordcloud
Last synced: 05 May 2026
https://github.com/andersoncrs/prediccion_precio_vehiculos_statsmodels
Este proyecto utiliza un modelo de regresiΓ³n lineal para predecir el precio de vehΓculos basΓ‘ndose en sus caracterΓsticas principales. El anΓ‘lisis incluye la definiciΓ³n del problema, exploraciΓ³n y limpieza de datos, conversiΓ³n de variables categΓ³ricas a numΓ©ricas, evaluaciΓ³n de correlaciones y entrenamiento del modelo.
analisis-de-datos analisis-exploratorio-de-datos matplotlib numpy seaborn statsmodels visualizacion-de-datos
Last synced: 26 Apr 2026
https://github.com/shwetapardhi/assignment-03-q1--hypothesis-testing
Q1.A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit
hypothesis-testing numpy p-value pandas python scipy significance-testing stats t-test
Last synced: 11 Apr 2026
https://github.com/patilsukanya/assignment-07-clustering-q2-crime
Used libraries and functions as follows:
clustering-algorithm dbscan eda groupby-method matplotlib-pyplot numpy pandas python scatter-plot sklearn standard-scaler
Last synced: 11 Apr 2026
https://github.com/sufiyan1803/student-result-analysis
This project explores student exam data to find out what affects their scores. It covers everything from cleaning the data to analyzing score distributions, the effects of parental education and marital status, and comparisons by gender and lunch type. Itβs a great way to see how different factors influence student performance.
matpolotlib numpy pandas python
Last synced: 03 Feb 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
ΠΡΡΡ "Π’Π΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΡ ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ"
colab-notebooks jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2025
https://github.com/matiassenia/modelo-prediccion-temperatura
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adam-optimizer machine-learning numpy python python3 tensorflow
Last synced: 11 Apr 2026
https://github.com/djdurga/google_play_store_apps_analysis
This data analysis project focuses on exploring and understanding the Google Play Store Apps dataset.
Last synced: 11 Apr 2026
https://github.com/cfbastarz/jupyternotebooks
A collection of several Jypyter notebooks.
dask matplotlib numpy python xarray xesmf
Last synced: 18 Jan 2026
https://github.com/chanmeng666/advanced-neural-network-applications
Practical implementations of perceptron and linear neuron models for classification and regression, with mathematical analysis and visualizations in Jupyter notebooks.
classification data-analysis data-science educational gradient-descent jupyter-notebook linear-neuron machine-learning matplotlib neural-network neural-networks numpy perceptron python regression
Last synced: 03 May 2026
https://github.com/binakot/python3-course
course data-science learning matplotlib numpy pandas python
Last synced: 11 Apr 2026
https://github.com/patilsukanya/assignment-04.-simple-linear-regression-q1
Used libraries and functions as follows:
correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-testing numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statmodels t-score
Last synced: 09 Apr 2026
https://github.com/ikbalcaus/HandSketch
Drawing on Canvas with Hand Gestures + AI for Letter Recognition
mediapipe numpy ocr-recognition opencv python pytorch tkinter
Last synced: 31 Mar 2025
https://github.com/abideen-olawuwo/bulldozer-prediction
Predicting the Future Price of Bulldozer
machine-learning matplotlib numpy pandas python random-forest-regressor scikit-learn
Last synced: 11 Apr 2026
https://github.com/dmarks84/ind_project_obesity-multi-class-classification--kaggle
Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9
classification correlation-analysis cross-validation data-modeling data-visualization dataframes eda gridsearchcv matplotlib multiclass-classification numpy pandas python seaborn sklearn statistics supervised-ml
Last synced: 11 Apr 2026
https://github.com/venkatnvs/deep_learning-nn-python
Deep learning and Neural networks
keras matplotlib numpy pandas python sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/jorisbertier/learnpython
Project for learn Python
beautifulsoup4 matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/harmanveer-2546/wafer-fault-detection
The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.
clustering data-transformation feature-selection machine-learning matplotlib numpy pandas python random-forest roc-auc-curve roc-auc-score seaborn sklearn svc xgboost
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/chokzb/covid19_vaccination_analysis
An EDA project examining global COVID-19 vaccination progress. The notebook investigates vaccination trends by country, daily vaccination rates, timeline patterns, and dose distribution. The project includes visualisations created with Matplotlib, Seaborn, and Plotly.
covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas plotly python seaborn vaccination
Last synced: 07 May 2026
https://github.com/stdlib-js/blas-ext-linspace
Return a new ndarray filled with linearly spaced values over a specified interval along one or more ndarray dimensions.
arange arrange javascript linear linspace math mathematics matlab ndarray node node-js nodejs numpy seq sequence statistics stats stdlib
Last synced: 04 May 2026
https://github.com/chirindaopensource/non_linear_forecasting_backcasting
Python implementation of Gourieroux-Jasiak's (2025) mixed causal-noncausal VAR models. Features probabilistic forecasting, nonlinear innovation filtering, and state-dependent IRF analysis for financial time series with explosive dynamics. Enables robust risk assessment and structural analysis of speculative behavior.
bootstrap bubble-analysis financial-modeling forecasting jupyter-notebook monte-carlo nonlinear-modeling numpy pandas python quantitative-finance research-implementation risk-management scipy statistical-modeling time-series uncertainty-quantification var-models
Last synced: 11 Apr 2026
https://github.com/sonnguyen25/hackbeanpot-2025
EarthBeats - An Eco-friendly Pocket Road Trip Companion
css flask googlemaps-api html humeai knn-model mongodb nextjs nodejs numpy pandas python reactjs recommender-system scikit-learn spotify tailwindcss
Last synced: 11 Apr 2026
https://github.com/mborne/numpy-experiments
[DEV] Some basic examples written to get started with numpy and pytorch
autograd basics get-started least-squares numpy torch
Last synced: 05 May 2026
https://github.com/alexquar/whatisthatdog
Mobile App built using react-native that will send api requests for classifying dog breeds to a flask api server containing a custom built CNN made with pytorch trained on the Stanford dog dataset. To take a look at some examples checkout some images from my portfolio linked here.
aws ec2 expo flask gunicorn matplotlib-pyplot numpy pandas pytorch react-native seaborn typescript
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/chaudharypraveen98/lungcancerdetection
To distribute the work of doctors and process the large amount of data to produce accurate results on the go
numpy pandas pillow python scipy tenserflow
Last synced: 16 Apr 2026
https://github.com/hectorta1989/py-images-classification
Images classification algorithms implemented by Python
ai computervision deeplearning imageclassification imageprocessing knn-classification machine-learning numpy pandas pca pca-analysis python3
Last synced: 04 May 2026
https://github.com/dilkushsingh/indian-startups-funding-dashboard
Dashboard app using Streamlit
matplotlib numpy pandas python seaborn streamlit streamlit-cloud streamlit-dashboard
Last synced: 11 Apr 2026
https://github.com/dhirajmerit/diabetes-prediction-models
This project implements multiple machine learning algorithms to predict diabetes diagnoses based on medical diagnostic data. The project compares the performance of various models, providing insights into which algorithms are most effective for this task.
ai machine-learning numpy pandas tensorflow
Last synced: 11 Apr 2026
https://github.com/ahmedmmahrous/medical-expenses-prediction-end-to-end-data-science-project-
Predict the future medical expenses of patients based on certain features.
data-science deployment exploratory-data-analysis flask machine-learning matplotlib numpy pandas plotly python regression statistics webapp
Last synced: 08 Apr 2026
https://github.com/gkannan-codes/habitableexos
With Earthβs habitability under strain, we ask: which known exoplanets could humans live on? Using NASAβs Exoplanet Archive, we score planets 0β1 (1 β Earth) from five Earth-normalized features to rank top candidates.
data html kaggle matplotlib-pyplot numpy pandas plotly python seaborn visualization
Last synced: 11 Apr 2026
https://github.com/vyjayanthipolapragada/marketing_statistical_analysis
Statistical analysis of customer data and their impact on the sales of products based on marketing campaigns
customer-data data-analysis dataframes marketing matplotlib numpy pandas python seaborn statistical-analysis
Last synced: 11 Apr 2026
https://github.com/shohail-dev/astronomical-data-analysis
Python Astronomical Data Analysis and Visualization.
astropy astroquery matplotlib numpy pandas pyplot python requests requests-library-python sckit-image seaborn
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