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/bearddan2000/python-web-3d-matplotlib-contour-graph
A demo of creating a 3d contour graph.
3d contour graph matplotlib numpy pandas python web
Last synced: 11 Apr 2026
https://github.com/alz-11/ftoc
Fahrenheit to Celsius conversion analysis, comparing accurate and approximate methods with visualizations and error analysis.
approximation celsius conversion data-visualization error-analysis fahrenheit fahrenheit-to-celsius jupyter jupyter-notebook matplotlib numpy python python-3 python3
Last synced: 08 May 2026
https://github.com/diloabininyeri/face-detect
python opencv face detect
artificial-intelligence deep-learning detection face facedetection machine-learning numpy object opencv people pyhton recognition
Last synced: 08 May 2026
https://github.com/dpgitaccount/project---hospital-readmission-analysis
The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.
boxplot confusion-matrix datamodeling exploratory-data-analysis heatmap histplot numpy pandas plotly python random-forest seaborn smote-sampling visualization
Last synced: 16 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/separatrixxx/nm_labs_6_7_sem
👓 Laboratory work for 6 and 7 semesters of MAI on numerical methods
numerical-methods numpy python
Last synced: 16 Apr 2026
https://github.com/vgvr0/analisis-de-datos-con-streamlit-numpy-pandas-y-matplotlib
Sistema completo de análisis y visualización de datos cinematográficos que proporciona insights detallados sobre películas, incluyendo análisis financiero, puntuaciones, tendencias temporales y un sistema de recomendación. Desarrollado con Python y Streamlit, ofrece una interfaz interactiva y amigable para explorar datos de películas.
matplotlib numpy pandas plotly plotly-dash recommendation-system streamlit
Last synced: 16 Apr 2026
https://github.com/rafsaf/tw-complex
Algorithms for TW
mit numpy poetry pypi-package python scipy sklearn
Last synced: 22 Feb 2026
https://github.com/codersales/machine-learning-classification
machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent
authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation
Last synced: 07 Mar 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/awaisfraaz/python-libraries
Here’s a repository description for a project where youA repository dedicated to exploring and experimenting with Python’s main libraries, featuring sample code, documentation, and practical examples for learning and reference.
matplotlib numpy pandas python seaborn
Last synced: 15 Feb 2026
https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2
Plot the data, find the outliers and find out μ,σ,σ^2
boxplot matplotlib-pyplot mean numpy pandas pie-chart python seaborn standard-deviation variense
Last synced: 16 Apr 2026
https://github.com/arsalan-dev-engineer/ai-repository
A repository that contains AI related projects, notes, practice files and documentations.
ai algorith beginner-friendly data-analysis data-preprocessing developer jupyterlab matplotlib matplotlib-pyplot natural-language-processing numpy pandas python unsupervised-learning visualization
Last synced: 12 Apr 2026
https://github.com/abideen-olawuwo/georgiatimeseries
A times series forcasting
arima itertools linear-regression matplotlib numpy pandas python seaborn statistics statsmodels time-series
Last synced: 11 Apr 2026
https://github.com/thekartikeyamishra/data-preprocessor
A Google Colab module for interactive data preprocessing. Handles missing values, categorical encoding (One-Hot, Label), and numerical scaling (Standard, MinMax). Outputs a cleaned dataset
ipywidgets numpy pandas python scikit-learn
Last synced: 08 May 2026
https://github.com/tansudasli/tensorflow-sandbox
all about machine learning
apache-arrow keras machine-learning numpy pandas scikit-learn tensorflow2
Last synced: 16 Apr 2026
https://github.com/jpcadena/palmer-penguins
Palmer Penguins
analytics csv data data-analytics data-science exploratory-data-analysis matplotlib numpy palmer-penguin pandas plotly pylint python seaborn visualization
Last synced: 11 Apr 2026
https://github.com/anujdutt9/reinforcement_learning
Reinforcement Learning using Numpy and PyTorch.
numpy python3 pytorch reinforcement-learning
Last synced: 16 Apr 2026
https://github.com/5hraddha/sda-megaline-the-best-plan
Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.
data-visualization hypothesis-testing matplotlib numpy pandas scipy seaborn statistical-data-analysis
Last synced: 16 Apr 2026
https://github.com/hibashajahan55/python-abc-company-analysis
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/deepcloudlabs/dcl702-2020-sep-16
DCL-702: Data Analytics using Python
data-analytics numpy pandas python python-3
Last synced: 08 May 2026
https://github.com/staciax/data-science
data-science matplotlib numpy skit-learn
Last synced: 18 Nov 2025
https://github.com/bzubs/mlzero
Implementation of widely used ML algorithms in vanilla python
machine-learning machine-learning-algorithms machinelearning numpy python statistics
Last synced: 03 Mar 2026
https://github.com/ebadshabbir/decision_tree_algorithm
Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.
decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/abideen-olawuwo/predictive-maintenance
A predictive maintainance model
decision-trees ipython matplotlib numpy pandas plotly python random-forest seaborn sklearn smote
Last synced: 27 Mar 2026
https://github.com/khaymanii/calories-burnt-prediction-model
This model was built using Python and XGBoost Regression algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 16 Apr 2026
https://github.com/thekartikeyamishra/customer-retention-predictor
The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.
joblib machine-learning numpy pandas python scikit-learn tinker
Last synced: 16 Apr 2026
https://github.com/shiqilu77/machinlearning-lol_gaming
a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc
league-of-legends machine-learning numpy supervised-learning
Last synced: 16 Apr 2026
https://github.com/moonmoonsamal/meesho_order_financial_analysis
Generating insights from Meesho sales data (Oct-Nov)
cleaning-dataset eda numpy pandas visualization
Last synced: 16 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/yoavram/numpycharm
Some examples on using PyCharm with Scientific Python
cython numpy pycharm python scientific-computing training-materials
Last synced: 11 Apr 2026
https://github.com/0290192029/apartment-price-predictor
Python-проект по прогнозированию стоимости аренды квартир с помощью линейной регрессии. Практическая работа по теме: "Основы машинного обучения" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".
apartment-price-prediction apartments-for-rent api correios-api data-analysis feature-engineering feature-enginering linear-regression linear-regression-models mlops numpy prediction-model r seaborn
Last synced: 08 May 2026
https://github.com/leandro-bertoluzzi/parchis-probabilities
Small weekend project to play around with numpy and help me taking decissions while playing parchís
Last synced: 08 May 2026
https://github.com/sahil210695/numpy-basics
A brief overview of NumPy basics
data-science numpy numpy-tutorial python
Last synced: 08 May 2026
https://github.com/oguzhantekeli06/datascience_machinelearning_prediction
Data science project
data-visualization datascience-machinelearning numpy python3
Last synced: 25 Apr 2026
https://github.com/littie28/hazy-frames
Hierarchical coordinate frames - crystal clear transforms
3d coordinate-systems geometry numpy python reference-frames scipy transformations
Last synced: 18 Apr 2026
https://github.com/shriansh8619/eda_customer_behavior
This project analyzes Nielsen transaction data using Python to uncover sales trends, customer preferences, and purchasing patterns. It provides insights to optimize inventory, create targeted promotions, and improve store performance. The goal is to help supermarkets enhance strategies and boost profitability based on data-driven insights
matplotlib numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/jay6430/python-for-data-science
This Repository includes all the Python concepts that are necessary for Data science.
csv data-visualization datascience-machinelearning html-css ipynb-jupyter-notebook matplotlib numpy pandas python3 xml
Last synced: 04 Mar 2026
https://github.com/sunnyrao07/water-quality-analysis
A machine learning project that predicts water potability based on chemical and physical attributes, using models like Logistic Regression, Random Forest, and XGBoost.
data-cleaning label-encoding logistic-regression matplotlib model-evaluation numpy pandas pyhton random-forest sckiit-learn seaborn smote standard-scaler xgboost
Last synced: 08 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/supershivam5/python_projects
💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!
matplotlib-pyplot numpy pandas scikit-learn seaborn
Last synced: 17 Apr 2026
https://github.com/farzeennimran/or-and-and-gates-using-perceptron-learning
Training single-layer perceptrons to get the outputs of OR and AND logic gates.
data-science gates machine-learning neural-network neural-networks-from-scratch numpy perceptron-learning-algorithm perceptron-neural-networks python
Last synced: 17 Apr 2026
https://github.com/samaalharbi2/100-days-of-code
This repository is a collection of 100 Python projects built as part of the "100 Days of Code: Python Developer Challenge" course.
data-science game-development machine-learning numpy pandas python udemy
Last synced: 08 May 2026
https://github.com/hansalemaos/npchessimage
Creates a chessboard pattern as an image.
Last synced: 05 Mar 2026
https://github.com/abhishek-k-git/soulmegle
expressjs flask html nodejs numpy python3 reactjs scikit-learn socket tailwindcss
Last synced: 01 Apr 2026
https://github.com/isabelacaldeira/chutelibre
Crashing into code. Here is a physics problem about free fall solved with python!
freefall jupyter-notebook matplotlib numpy physics physics-simulation python3
Last synced: 11 Apr 2026
https://github.com/shashwat9kumar/us-accidents-data-analysis
Analysis of the US accidents using the US-Accidents dataset (4.2 million entries) from Kaggle
accidents accidents-analysis data-analysis data-analytics data-visualisation data-visualization matplotlib numpy pandas python
Last synced: 17 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/ricobuilds/ml-roadmap
Opinionated roadmap to machine learning in 2023
conda huggingface machine-learning matplotlib numpy pandas python pytorch
Last synced: 06 Mar 2026
https://github.com/parthds02/customer-segmentation-with-kmeans-clustering
Analyze customer behavior using Python and KMeans Clustering on transactional data. Features RFM analysis, data cleaning, clustering insights, and actionable visualizations to support business decision-making.
data-analysis data-visualization feature-engineering kmeans-clustering numpy pandas vscode
Last synced: 11 May 2026
https://github.com/kodemartin/np-pd-portfolio
Portfolio of numpy, pandas, and matplotlib solutions
Last synced: 17 Apr 2026
https://github.com/neerajcodes888/a-novel-used-car-price-prediction-model-based-on-lindenoise
Welcome to the LinDenoise Repository! LinDenoise offers a smart solution for cleaning noisy data in regression tasks. Integrated seamlessly within the widely-used scikit-learn framework, it effortlessly enhances data quality while improving predictive accuracy
car-price-prediction deep-learning ipynb-notebook machine-learning numpy pandas python3 visualization
Last synced: 06 Mar 2026
https://github.com/esraamhmd/intelligent-skin-cancer-image-based-detection-models
This project combines traditional machine learning approaches with advanced deep learning techniques to assist healthcare professionals in early diagnosis and improve patient outcomes.
ai deep-learning ham10000 isic kaggle machine-learning matplotlib numpy pandas python3 pytorch seaborn skin-cancer skin-detection sklearn time torchvision tqdm
Last synced: 02 Apr 2026
https://github.com/satyas567/weatherdataanalysis
Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed
jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/pranavv34/customer-segmentation
Predictive modeling and customer segmentation project using neural networks to forecast sales and categorize customers for targeted marketing in the online retail sector.
keras matplotlib numpy pandas python seaborn sklearn tensorflow
Last synced: 02 Apr 2026
https://github.com/niteshchawla/clustering-ml
Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.
cluster-analysis clustering hierarchical-clustering k-means-clustering machine-learning numpy pca-analysis visualisation
Last synced: 17 Apr 2026
https://github.com/ledsouza/curso_de_estatistica_parte_4
Projeto de estatística para estudo de correlação e regressão
data-science data-visualization numpy pandas seaborn statsmodels vitrinedev
Last synced: 17 Apr 2026
https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis
Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.
forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed
Last synced: 02 Apr 2026
https://github.com/dhruwsunita/zomato-data-analysis-project
Zomato data analysis project using Python.
data-analysis data-visualization jupyter-notebook matplotlib numpy pandas-dataframe python
Last synced: 08 May 2026
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.
data data-cleaning data-insights data-preprocessing data-visualization matplotlib numpy pandas python seaborn
Last synced: 11 Apr 2026
https://github.com/nikhilsree5/aerofitcasestudy
Customer Profiling and Market Segmentation for AeroFit Treadmills: A Data-Driven Approach
customerprofile eda numpy pandas python visualization
Last synced: 17 Apr 2026
https://github.com/theakashshukla/diabetes-prediction
Diabetes Prediction using futuristic tool
ai jupiter-notebook ml numpy pandas sklearn
Last synced: 17 Apr 2026
https://github.com/tashi-2004/deep-learning-grid-world-q-learning
Deep Learning Grid World Q-Learning . Implement Q-learning in a 5x5 grid where an agent navigates obstacles and rewards. Train the agent with varying learning rates, visualize its progress, and see Q-values as heatmaps. Run the script to start training and view results. Contributions are welcome!
agent-based-modeling artificial-intelligence deep-learning deep-q-learning exploitation exploration machine-learning machine-learning-algorithms matplotlib-pyplot numpy python q-learning q-learning-algorithm reinforcement-learning reinforcement-learning-algorithms state-value-function training
Last synced: 17 Apr 2026
https://github.com/antonio-f/regularization-methods
Shrinkage methods: Ridge Regression and Lasso
lasso lasso-regression machine-learning numpy python regularization ridge-regression scikit-learn
Last synced: 17 Apr 2026
https://github.com/mgitrov/cnn-on-cifar-10
A computer vision project aiming to classify random images uploaded by the user.
artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter
Last synced: 17 Apr 2026
https://github.com/athari22/mean-normalization
Mean Normalization
jupyter-notebook mean normalization numerical-analysis numpy numpy-exercises python python3
Last synced: 20 Jan 2026
https://github.com/coder36459/fcc-projects
freeCodeCamp projects
bash bootstrap c-sharp css d3 data-analysis html javascript matplotlib numpy pandas postgresql programming python react seaborn sql topojson xml xslt
Last synced: 03 Apr 2026
https://github.com/rosieoh/emergency_dataanalysis
오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석
ipython matplotlib numpy pandas python scikit-learn scipy
Last synced: 04 Apr 2026
https://github.com/neetigyab/pdf_form_parser
Older Test version of designated PDFReader project
excel forms matplotlib numpy ocr opencv pandas pdf pdf-converter pdfplumber pytesseract python
Last synced: 17 Apr 2026
https://github.com/varakanthamsaihruthikreddy975/champo_carpets_case_analysis_python
the champo carpets case study Analysis in python, this is still under development this will be a more comprehensive analysis than previous one in R. I have the complete version of code in R refer to this link - ( https://github.com/VarakanthamSaiHruthikReddy975/Champo_Carpets_Case_Study_Analysis)
case-analysis jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python3 seaborn
Last synced: 17 Apr 2026
https://github.com/separatrixxx/aviahack5
✈️ Aviahackathon 5
fastapi http-server numpy pandas pyside6 python react sqlite3 tailwind-css typescript
Last synced: 04 Apr 2026
https://github.com/kevinmbeaulieu/machine-learning-practice
ML models & data processing utilities written from scratch as practice.
data-science machine-learning numpy pandas
Last synced: 08 May 2026
https://github.com/mihirh19/uber-analysis
Uber's 2016 dataset analysis offers insightful information about the company's operations and user behaviour. Patterns and trends can be discovered by looking at variables like trip time, distance travelled, and pickup/drop-off locations. Uber may use this information to detect high-demand locations, increase overall efficiency, and optimise driver
matplotlib numpy opendatasets pandas seaborn
Last synced: 11 May 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
Last synced: 10 Apr 2026
https://github.com/yuvrajsaraogi/sales-prediction-using-python
Sales prediction involves estimating future product sales based on factors like advertising spend, target audience, and platform. Businesses rely on data scientists to forecast sales and optimize advertising costs. Machine learning in Python can be used for this task.
data data-analysis data-science data-visualization machine-learning matplotlib natural-language-processing numpy pandas prediction python sales-prediction-using-python sql
Last synced: 19 Apr 2026
https://github.com/saurabh274/aerofit-statistics-and-probability
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
matplotlib-pyplot numpy pandas probability python seaborn statistics
Last synced: 08 May 2026
https://github.com/nova-land/kalmanfilter-python
Kalman Filter in PyTorch and Numpy
kalman-filter numpy python pytorch
Last synced: 08 May 2026
https://github.com/jass024/bitcoin-historical-analysis
Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.
Last synced: 18 Apr 2026
https://github.com/arn4/labtools
Package with useful scripts for Physics Laboratory Courses
numpy python3 scipy uncertainties
Last synced: 05 Jan 2026
https://github.com/thoughtscript/python_api_2023
Some fun with Flask, Python, and Machine Learning
angular docker docker-compose flask machine-learning mysql numpy
Last synced: 04 Apr 2026
https://github.com/vansh-py04/data-analysis-questions-pandas-numpy-sql
Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!
data-analysis data-science deepnote machine-learning numpy pandas python sql
Last synced: 18 Apr 2026
https://github.com/alainlebret/python-et-ia-1
Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN
artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn
Last synced: 04 Apr 2026
https://github.com/icejan/predicton-systems
Various systems that train on data and generate a prediction
lightfm machine-learning numpy python scikit-learn
Last synced: 08 May 2026
https://github.com/ccolpasm/pageviewanalyzer
PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.
data-science matplotlib numpy pandas python
Last synced: 18 Apr 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/armanshadyan/bacteria-detection
Deep learning-powered tool for detecting and analyzing bacteria in microscope images. Designed for microbiology research, it identifies bacteria, counts them, and calculates coverage area with high precision. Supports real-time video processing, single-image analysis, batch processing, and model training.
mediapipe numpy object-detection opencv python pytorch
Last synced: 05 Apr 2026
https://github.com/gyselle-marques/sobel-filter
Machine Learning: Image Processing with Sobel Filter.
colab-notebook image-processing machine-learning matplotlib numpy opencv python sobel sobel-filter
Last synced: 24 Jun 2026
https://github.com/murugavl/flower-prediction
Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.
flask machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 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. It’s a great way to see how different factors influence student performance.
matpolotlib numpy pandas python
Last synced: 03 Feb 2026
https://github.com/rafagomezguillen/data-science-python
Data Science and Python notes
data-science django-rest-framework matplotlib numpy pandas python seaborn webscraping
Last synced: 18 Apr 2026
https://github.com/anmolbansal7/lost-and-found
Content-Based Image Retrieval
content-based-image-retrieval flask keras-tensorflow matplotlib numpy pillow similarity-measures webapp
Last synced: 05 Apr 2026
