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: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/sadegh-khedry/titanic-survival-prediction
Predicting Titanic survival using neural networks.
conda-environment jupyter-notebook kersa matplotlib numpy pandas python seaborn sklea supervised-learning tensorflow titanic-kaggle
Last synced: 10 Apr 2026
https://github.com/sunnyrao07/stroke-risk-prediction
Predicting stroke risk using machine learning models based on healthcare and demographic data.
data-cleaning data-visualization decision-trees feature-engineering label-encoding matplotlib model-evaluation numpy outlier-detection pandas python random-forest scikit-learn seaborn standard-scaler
Last synced: 10 Apr 2026
https://github.com/smirnovlad/data-science-notebooks
A collection of various data analysis approaches
data-science deep-learning kaggle machine-learning numpy pandas pytorch
Last synced: 10 Apr 2026
https://github.com/amruta33/heart_disease_prediction
predict whether a person has a heart disease or not.
classification decision-trees gridsearchcv heart-disease hyperparameter-tuning male-female numpy pandas
Last synced: 30 Mar 2025
https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset
Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, NaΓ―ve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/vijaykumarr1452/startup_success_predictor
This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)
machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn
Last synced: 10 Apr 2026
https://github.com/patilsukanya/assignment-3-hypothesis-testing
Used libraries and functions as follows:
alternate-hypothesis annova chi2-contingency contingency-analysis ftest hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas pvalue python scipy significance-testing stats
Last synced: 10 Apr 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/pedasoft-consult/multi_class_text_classification
Multi-Class Text Classification for News Headlines
keras matplotlib-pyplot nltk numpy pandas seaborn sklearn tensorflow
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https://github.com/munawar-code/car_price_predictor
This project is a ML-based car price prediction system. The model is built using Jupyter Notebook for training and evaluation, while a simple one-page website was developed using Pycharm to provide interface for users to input car details and get price predictions.
datapreprocessing datavisualization exploratory-data-analysis feature-engineering flask-application html-css-javascript linear-regression machine-learning-algorithms matplotlib numpy pandas python scikitlearn-machine-learning
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https://github.com/ryan-bendelson/2024-summer-research
This is Python code that I worked with during my summer 2024 research project involving quantum physics.
density-matrices kronecker-product linear-algebra miniconda3 numpy numpy-arrays partial-trace python quantum-information
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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
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https://github.com/mogankumar/virtual-mouse
A Python-based Virtual Mouse that uses hand gestures for cursor control, clicking, scrolling, and taking screenshots. Powered by OpenCV, PyAutoGUI, and a custom hand tracking module for a touch-free experience.
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https://github.com/anuuragg/numpyneuralnet
machine-learning matplotlib neural-network numpy pandas
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https://github.com/babagata/racunalna_fizika
Math and physics solved with python
matplotlib numpy random scipy sympy
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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
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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/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
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https://github.com/ahmedabdalkreem/hotel-reservation
Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.
bagging decisiontreeclassifier ensemble extra-trees-classifier logistic-regression matplotlib numpy pandas python3 random-forest sklearn-library svc-model
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https://github.com/alejoduarte23/reading_data_from_dewesoft
The following repository retrieves sensor data (acceleration and strains) from both local and cloud databases. It processes the data using classes from another repository called Modal Engine for spectral analysis, modal analysis, and signal processing.
dewesoft matplotlib modal-analysis numpy orm scipy signal-processing sql sqlalchemy
Last synced: 07 Jan 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
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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/shakebshamsi/youtube-scraping-using-api
Youtube Scraping
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https://github.com/crvargasm/moore-penrose-matrix
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https://github.com/sc0v0ne/ai-discipline-work
AI Discipline Work - Movie recommendation
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https://github.com/omarsaad21/rfm-clustering-
A full Data science and deployment project focusing on Data analysis and ML ( create a customer segmentation model to recommend the best merchants for each user as targetted offers)
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https://github.com/paulbrenker/decision-tsp
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https://github.com/toluwalase-taiwo/ml-zoomcamp
Machine learning repository
algorithms jupyter-notebook machine-learning matplotlib numpy pandas python3 scikit-learn
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https://github.com/yash-rewalia/airbnb_eda_pandas
The goal of the project is to gather information and analyze the detailed information of the different entries in order to provide insights about the host and price of the property in a particular area as per your preference , type of rooms and number of reviews accordingly.
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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/germanocastanho/python-notes
Personal collection of Python Notes, tips, and code snippets π
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https://github.com/yanukadeneth99/numpy-neural-network
A Neural Network made using Numpy
ai deep-learning deep-neural-networks ml numpy python
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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/utkarsh251106/cricket-shot-analyzer
Real-time cricket shot analyzer using Python, OpenCV, and MediaPipe. Processes videos frame-by-frame, overlays pose and biomechanical metrics, and outputs an annotated video with JSON evaluation. Also the output video might have "??" in it which is there cause OpenCV can't display degree's symbol.
artificial-intelligence computer-vision deep-learning machine-learning mediapipe numpy python real-time
Last synced: 05 May 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/rkarahul/face-detection-using-opencv-
β’Build a face detection project using OpenCV and haar cascades, which are the better choice for real-time detection.
haar-cascade-classifier machinelearning numpy pandas-library python3 tkinter
Last synced: 08 May 2026
https://github.com/georgehanymilad/startups-profit-prediction
Machine Learning Project
anaconda data-science dataanalysis kaggle machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 regression seaborn
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https://github.com/roluochke/learning-ds-ml
Learning DS and ML
keras matplotlib numpy pandas python seaborn sklearn tensorflow
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https://github.com/kishanlalchoudhary/te-sem-6
TE SEM 6 Assignments
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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
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https://github.com/jigyasag18/fake-news-prediction-app
The Fake News Prediction App Repository offers a machine learning project that focuses on identifying the authenticity of news articles as fake or real. It uses a dataset of 20,000 articles and employs methods such as TF-IDF vectorization and the Lemmatization algorithm, achieving ~95% classification accuracy with random forest classifier model
data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming streamlit streamlit-webapp vectorization
Last synced: 11 Apr 2026
https://github.com/armahdavi/analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1
PhD Technical Paper 1 - Phase 1 - 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
matplotlib numpy pandas pandas-dataframe pyplot python scipy-stats sklearn
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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/kirtipratihar/python_libraries_for_ds
This repository serves as a comprehensive guide to Python programming for Data Science. It covers essential topics like data manipulation, data visualization, machine learning, and statistical analysis using popular libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn tensorflow
Last synced: 11 Apr 2026
https://github.com/mehradi-github/ref-jupyter-2510
using python in machine learning
matplotlib numpy pandas python sklearn statistics
Last synced: 11 Apr 2026
https://github.com/timothyjan/intro-machine-learning-classifiers
We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a βreal-worldβ dataset, which will introduce its own set of challenges.
numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/abideen-olawuwo/sign-language
Multi Class Image Classification
convolutional-neural-networks deep-learning keras machine-learning matplotlib neural-network numpy pandas tensorflow
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/ttwag/p2_gaussian_elimination
A function that encodes the Gaussian Elimination algorithm
algorithm linear-algebra numpy python
Last synced: 29 Apr 2026
https://github.com/raufjatoi/ai-programming
Programming for AI labs
ai deep-learning jupyter-notebooks machine-learning matplotlib numpy pandas python pytorch seaborn sklearn tensorflow
Last synced: 11 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/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction
With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.
matplotlib numpy pandas plotly python3 scikit-learn xgboost
Last synced: 09 Jun 2026
https://github.com/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/anas436/python
This is Python Programming Language. Here, the basic problems of Python language have been solved. If you can solve these problems then your basic skills will be developed in this language and you will be suitable for doing good projects.
jupyter-notebook jupyterlab numpy pandas pycharm python3 watson-studio
Last synced: 11 Apr 2026
https://github.com/gregoritsch3/ml_eda_clustering_aidassessment
An EDA and Machine Learning Clustering exercise on the Country Aid Assessment dataset demonstrating the use of PCA, KMeans and DBSCAN clustering, Elbow Methods, etc. The clustering algorithm successfully demarcates countries that are in most dire need of aid based on their GDPP and Child Mortality rate.
anova dbscan kmeans machine-learning matplotlib numpy pandas pca scikit-learn seaborn statistics
Last synced: 16 Apr 2026
https://github.com/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/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/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/arthurdsant/dataanalysis-agricultural_raw_material
This Python project performs analysis and visualization of agricultural raw material price data using a Kaggle dataset. Based on Jupiter Notebook and Python.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 26 Jan 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/eduardoprofe666/mn-api
ππ¦ Paquete de Python con implementaciones de mΓ©todos numΓ©ricos
mn-api numerical-methods numpy pandas python scipy simpy tabulate
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https://github.com/badranalyst/student-tests-data-analysis-application
Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.
data-analysis data-visualization dataset matplotlib numpy pandas python sklearn
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https://github.com/allanreda/telco-customer-churn-predictor-app
A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.
app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn
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https://github.com/andersoncrs/prediccion_precio_vehiculos_statsmodels
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analisis-de-datos analisis-exploratorio-de-datos matplotlib numpy seaborn statsmodels visualizacion-de-datos
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https://github.com/shreyasmehta05/sortsync
A custom sorting algorithm combining parallel merge and count sort, with detailed performance comparisons against standard sorting techniques.
Last synced: 04 Feb 2026
https://github.com/matiassenia/modelo-prediccion-temperatura
Proyecto de machine learning que utiliza TensorFlow para predecir temperaturas en grados Fahrenheit a partir de temperaturas en grados Celsius. Incluye un script de Python para entrenar el modelo y realizar predicciones, asΓ como datos de entrenamiento y visualizaciones
adam-optimizer machine-learning numpy python python3 tensorflow
Last synced: 11 Apr 2026
https://github.com/kkufieta/carnd-vehicle-detection
Vehicle Detection & Tracking - Self Driving Cars
cv2 hog-features numpy self-driving-car sklearn vehicle-detection
Last synced: 11 Apr 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/apfirebolt/numpy-and-pandas-examples
Some examples and sample datasets to learn numpy, pandas and other data science libraries in Python
data-analysis jupyter-notebook numpy pandas python
Last synced: 17 Apr 2026
https://github.com/binakot/python3-course
course data-science learning matplotlib numpy pandas python
Last synced: 11 Apr 2026
https://github.com/Gregoritsch3/Exercise_Pandas_1
A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib,
data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy
Last synced: 01 May 2025
https://github.com/hansalemaos/a_pandas_ex_horizontal_explode
Explode list/tuples in columns
dataframe dataframes list numpy pandas python series tuple
Last synced: 14 Apr 2026
https://github.com/patilsukanya/p02.-normal-distribution-of-stocks
Used libraries and functions as follows:
cdf detetuneindex matplotlib-pyplot mean norm numpy pct probability python seaborn standard-deviation stats
Last synced: 01 May 2026
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
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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/harmanveer2546/campus-recruitment-prediction
Student Campus-Placement Prediction ML Project using Python
decision-trees machine-learning matplotlib numpy pandas python random-forest scipy seaborn
Last synced: 11 Apr 2026
https://github.com/akhileshthite/india-population
ML (simple linear regression) model for predicting India's population.
machine-learning numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/diegorezm/spc
Analise de espectros de Infravermelho por Transformada de Fourier (FTIR)
ftir-data-analysis numpy python
Last synced: 21 Apr 2026
https://github.com/pavanreddy565/infosys_python_for_datascience
Data Science Course Tasks Repository This repository contains tasks and projects completed during the Data Science course from Infosys Springboard. It includes setup instructions for running Jupyter Notebook sessions in a virtual environment.
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https://github.com/staciax/data-science
data-science matplotlib numpy skit-learn
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https://github.com/ecrows/flippy
Python command-line utility for generating videos from image directories.
data-science image-processing numpy opencv python python3 video video-processing visualization
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https://github.com/mashalk1/computer-vision-attendance-system
A computer vision based attendance system, using cv2, firebase, numpy, cvzone and face_recognition library in python
computer-vision cv2 cvzone face-recognition numpy
Last synced: 04 Feb 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/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/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/ashishsingh789/traffic_accident_analysis
Analyzed traffic accident data to identify patterns related to road conditions, weather, and time of day. Visualized accident hotspots using heatmaps and bar plots.
excel matplotlib numpy pandas pandas-dataframe python seborn
Last synced: 11 Apr 2026