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/mhmudfzli/loan-approval-prediction
This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance
automl catboost numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/mituskillologies/dkte-da-mar25
Programs conducted at DKTE's Engineering Institute, Ichalkaranji in training on Python Data Analytics March 2025.
data-analysis matplotlib numpy pandas python-programming tkinter-python
Last synced: 13 May 2026
https://github.com/anuragkush2527/vibesync-3.0
Sentiment analysis in social media involves using natural language processing (NLP) and machine learning to analyze users' opinions, emotions, and attitudes expressed in posts, comments, and reviews. It helps in understanding public sentiment, monitoring trends, and making data-driven decisions.
expressjs fastapi mongodb nltk nodejs numpy pandas python reactjs scikit-learn sentiment-analysis tensorflow
Last synced: 16 Oct 2025
https://github.com/rtmigo/markov_walk_py
🔢 Python module that calculates probabilities for a random walk in 1-dimensional discrete state space
absorbing-markov-chains absorbing-states markov-chain mathematics numpy probability probability-theory random-walk stochastic-matrix stochastic-models
Last synced: 21 May 2026
https://github.com/vjpaij/datascience-udemy
Various basic codes on datascience
machine-learning matplotlib numpy pandas python seaborn
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https://github.com/jbizzlefoshizzle/weather_trends_vs_latitude
Pandas project analyzing possible correlation between latitude and max. temperature, wind speed, cloudiness, and humidity
json-api jupyter-notebook matplotlib-pyplot numpy weather-information
Last synced: 13 May 2026
https://github.com/aqueeqazam/student-placements-using-machine-learning-and-flask
Through the use of Flask and machine learning, I show how to implement the student placement prediction model.
flask machine-learning numpy pandas
Last synced: 14 Apr 2026
https://github.com/5hraddha/ice-video-games-sales-analysis
Analysis of video game sales data of an online store Ice, which sells video games all over the world & identify patterns that determine whether a game succeeds or not.
data-visualization matplotlib numpy pandas requests-module scipy seaborn
Last synced: 14 Apr 2026
https://github.com/sandeepannandi/slicecam
SliceCam is a fun, camera-controlled game powered by OpenCV and Mediapipe that lets you slash flying fruits with real-time hand tracking.
collision-detection handtracking mediapipe mediapipe-hands motiondetection numpy opencv pygame python
Last synced: 06 May 2026
https://github.com/sahu-sakshi/covid-19
A comprehensive data analysis project for COVID-19 pandemic data, featuring automated data collection, feature engineering, visualization tools, and exploratory analysis notebooks.
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https://github.com/hossein-cod/parking-space-detection
Identifying empty spaces in the parking lot with openCV
cv2 jupyter-notebook numpy opencv pickle python
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https://github.com/dulajkavinda/diabetes-detection
💊detect diabetes using machine learing
added machinelearning numpy pandas python scikit
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https://github.com/chinmayee4/diwali_sales_analysis_using_python
Analyze Diwali Sales Data to improve customer experience and sales.
data-science exploratory-data-analysis matplotlib numpy pandas python seaborn
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https://github.com/mostafa-bashir/investigating_dataset_udacity
ipython jyputer-notebook numpy pandas python
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https://github.com/dmarks84/coursework_capstone_spacex_predictions
Final Project for IBM Data Science Professional Certificate -- Applied all skills and methods utilized in the series of courses for this certification to predict the success of SpaceX landings; issued full report to stakeholders
api classification dash eda folium linear-algebra matplotlib mysql numpy pandas plotly probability python seaborn sql statistics supervised-ml technical-writing web-scraping
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https://github.com/anish37860/python_party
Python summer party by Interview Master & in partnership with DataCamp
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https://github.com/vc-nithesh944/pandas_numpy
Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision
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https://github.com/chandrasankarsaha-code/customer-churn-prediction
A machine learning project to predict customer churn.
churn-prediction classfication customer machine-learning numpy pandas
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https://github.com/annygutierrez/data-preprocessing
Preprocessing deep learning template.
matplotlib numpy pandas sklearn
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https://github.com/rdmolony/nix-numpy-financial
A nix derivation for numpy-financial - https://pypi.org/project/numpy-financial/#files
Last synced: 05 Mar 2025
https://github.com/sridharyadav07/ai--powered-task-management-system
An intelligent Task Management System that integrates Sentiment Analysis, Task Optimization, and Forecasting to streamline project and task handling. This AI-powered tool is designed to assist teams and project managers in making data-driven decisions by understanding emotional context, forecasting productivity, and optimizing workload distribution
arima flask joblib jupyter-notebook naive-bayes-classifier nltk numpy pandas pickle-file python randomforestregressor scikit-learn stopwords-removal streamlit tfidf-vectorizer
Last synced: 08 Apr 2026
https://github.com/rahulraimau/credit-card-fraud-detection
This project develops a real-time credit card fraud detection system using the Kaggle Credit Card Fraud Detection Dataset, containing 284,807 transactions with 31 features (Time, Amount, V1-V28, Class).
imbalanced-learn- matplotlib numpy pandas python pytorch scikit-learn- tensorflow
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https://github.com/badranalyst/residential-unit-prices-data-analysis-application
Python-based analysis of residential unit prices, focusing on data cleaning, visualization, and exploratory data analysis (EDA). Key features include price distribution, and correlation analysis between factors like size, location, and pricing.
data-analysis data-visualization dataset matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/alansteinbarth/irysy
🪻 Irysy 🌼 eksploracyjna analiza danych – wizualizacje, ML, transparentny kod i autorskie grafiki. Projekt łączący AI, estetykę i praktyczne umiejętności!
ai classification clean-code data-science exploratory-data-analysis feature-engineering github-pages iris-dataset jupyter-notebook machine-learning matplotlib modern-ui numpy open-source pandas portfolio-project python reproducible-research seaborn visualization
Last synced: 17 Oct 2025
https://github.com/redinfinitypro/circuitpythonprojects
Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.
matplotlib numpy os pyspice sys
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https://github.com/mbarbetti/hello-snakemake
Simple implementation of snakemake to sample and plot data
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https://github.com/deepcloudlabs/dcl702-2021-jul-12
DCL-702: Data Analytics using Python
data-analytics numpy pandas python3
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https://github.com/sunilvarma-l/liverdiseaseprediction
"Streamlit app to predict liver disease risk using a machine learning model based on patient input data."
machine-learning matplotlib numpy pandas pickle python scikit-learn seaborn streamlit
Last synced: 13 Apr 2026
https://github.com/antodata/hate_crimes_spain_2014_2017
Analysis of hate crimes in Spain between 2014 and 2017 using official data
chi-square chi-square-test data-analysis data-visualization datascience folium hatecrime json lgtbiq linear-regression maps matplotlib numpy pandas python python3 scipy selenium selenium-webdriver sklearn
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https://github.com/architj6/gesture-volume-control
Easily control your system volume with simple hand gestures! This project leverages OpenCV, MediaPipe, and Pycaw to track hand movements and adjust the system volume dynamically. Say goodbye to keyboard shortcuts and volume buttons—just move your hand to set the volume!
handgesture mediapipe numpy opencv os pycaw python python3 volume-control
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https://github.com/pzuehlke/ml-with-numpy
Basic ML algorithms using only NumPy
deep-learning machinelearning numpy
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https://github.com/fanisgl/cnn_machine_learning
A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.
data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2
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https://github.com/yulia-momotyuk/dla-data-analysis-practice
This repository contains my homework assignments completed during the "Data Analyst in IT" course at Data Loves Academy.
analytics data-analysis data-visualization excel mysql numpy pandas postgres powerbi python seaborn sql tableau
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https://github.com/makoczoro/credit-default-risk-analysis-eda
This repository contains the detailed EDA Analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices
bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis
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https://github.com/saivarun2611/potato_disease_classifier
This project is a Potato Disease Classifier that uses a Convolutional Neural Network (CNN) to classify potato leaves as healthy, suffering from early blight, or late blight. The model helps in early detection of diseases, which can be crucial in maintaining crop health and yield.
cnn keras matplotlib numpy pandas python3 tensorflow
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https://github.com/davgiles/ML-Projects
This repository contains my projects from the Data Science & Business Analytics Post-Graduate Program through UT Austin.
eda matplotlib numpy pandas python scikit-learn scipy seaborn visualization xgboost
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https://github.com/samir-atra/experiments_and-_improvements
A repository showing the knowledge in some of the machine learning technologies there are.
dcgan-tensorflow numpy tensorflow-tutorials tensorflow2
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https://github.com/kr1shnasomani/genagenet
Gender and Age recognition from face images
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https://github.com/anodicpassion/printing-accuracy-analyzer
This project provides a web-based application for analyzing the print quality of scanned documents by comparing them against a template. It identifies issues such as misalignment and blur, providing visual feedback and quantitative metrics.
Last synced: 20 May 2026
https://github.com/nabilshadman/multiprocessing-time-series-data-simulation
A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples
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Last synced: 05 May 2026
https://github.com/MuhammedMorad/Egypt-Premier-Fashion-Sales-Analysis
Egypt’s Premier Fashion Sales Analysis is a data-driven project that provides interactive sales insights using Streamlit, Power BI, and Pandas. It analyzes sales trends, customer behaviors, and product performance while offering real-time dashboards and downloadable reports. helping businesses make informed, data-driven decisions. 🚀
matplotlib numpy pandas plotly python seaborn streamlit
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https://github.com/juzershakir/train_a_smartcab_to_drive
From just cab, to Smart-Cab
cogsci decay-rate epsilon machine-learning machine-learning-algorithms machine-learning-tutorials matplotlib numpy pandas pygame python27 q-learning reinforcement-learning smartcab training udacity-nanodegree visualization
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https://github.com/bhuvantenguria/adobe-gensolve
Adobe-Gensolve
cv2 dotenv firebase-admin flask numpy pandas python react svgpathtools svgwrite
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https://github.com/jigyasag18/fake-news-prediction-project
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 Porter stemming algorithm, achieving around 97% classification accuracy with logistic regression model.
data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming vectorization
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https://github.com/aikogamer101/exploratory-data-analysis
Using Python to analyze a beauty product dataset. A complete EDA.
analytics business-intelligence datacleaning datadiscovery dataengineering dataexploration folium matplotlib numpy pandas python3 seaborn
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https://github.com/thomasa/python-intro
This is a Jupyter notebook slide show for a 2-hour crash intro to Python, NumPy, Matplotlib, and SciPy
matplotlib numpy python scipy tutorial
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https://github.com/separatrixxx/tmandcm_labs_3_sem
👓 Laboratory works for 3 semester of MAI on theoretical mechanics
matplotlib numpy python theoretical-mechanics
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https://github.com/linsanity03/particle-in-potential-well
Visualizing the Wavefunction and Probability density of a Particle in a 1D Infinite Potential Well
jupyter-notebook matplotlib-pyplot numpy probability-density schrodinger-equation wavefunction-visualisation
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https://github.com/chirindaopensource/search_benford_law_compatibility
End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.
academic-research anomaly-detection benfords-law chi-squared-test data-validation econometrics financial-analysis financial-data forensic-accounting fraud-detection ftse goodness-of-fit jupyter-notebook numpy pandas python reproducible-research risk-management scipy statistical-testing
Last synced: 12 Apr 2026
https://github.com/Akhil-krishnan-r/super_market_analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset
data-visualization matplotlib numpy pandas seaborn
Last synced: 03 Feb 2026
https://github.com/samuelbarbosadev/dataexpert
Elaborar modelos estatísticos, criar algoritmos, solucionar problemas e expandir a estratégia de negócios.
classification clustering crisp-dm data-cleaning data-visualization data-wrangling descriptive-statistics inferential-statistics inferre machine matplotlib numpy pandas pyplot recomendation-algorithm regresion-lineal seaborn skit-learn supervised-machine-learning
Last synced: 17 Apr 2026
https://github.com/bilgenurbekar/turkishcyberbullying
Contains fine-tuned BERT models and results in the text classification category using Turkish social media data
bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers
Last synced: 07 Mar 2026
https://github.com/celineboutinon/bookworms
OpenClassrooms Data Analyst 2022-2023 - Projet 6
apriori-algorithm data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot mlxtend numpy pandas python scikit-learn scikit-posthocs scikitlearn seaborn statsmodels
Last synced: 05 May 2026
https://github.com/a-poor/qgates
Small helper library for working with quantum matrices
bell-states numpy pypi pypi-package python quantum-computing
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https://github.com/carlescn/snake_game
An implementation of the classic Snake game using Pygame and NumPy.
numpy pygame python snake-game
Last synced: 15 Apr 2026
https://github.com/ohyeasabhi/signature-recognizer
Este projeto desenvolve um sistema para verificar a similaridade de assinaturas usando redes neurais. Ele utiliza o Triplet Loss para criar embeddings, focando na avaliação biométrica com o dataset CEDAR. 🖊️🌐
backpropogation-neural-network computer-vision django image-recognition jupyter-notebook keras machine-learning-projects neural-network numpy one-shot-learning python-project siamese-neural-network signature signature-recogniton tensorflow type voice-recognition windows
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https://github.com/13anush/python-libraries-
A collection of essential Python libraries—NumPy, Pandas, Matplotlib, and Seaborn—perfect for anyone starting out in data analysis.
data-analysis matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/offthetab/gans
Just testing out different GAN models
gans matplotlib numpy seaborn torch torchvision
Last synced: 19 May 2026
https://github.com/alanmenchaca/numpy-notes
collection of notes to learn numpy!
jupyter-notebooks numpy python
Last synced: 08 May 2026
https://github.com/hitthecodelabs/petalanalyticsstreamlit
Web application developed with Streamlit that predicts the Iris flower type based on its physical features
matplotlib model numpy pickle python scikit-learn sklearn streamlit
Last synced: 05 May 2026
https://github.com/cicku/en.650.672
HW of EN.650.672
analytics data-analysis numpy pandas
Last synced: 05 May 2026
https://github.com/harmanveer-2546/nba-homecourt-advantage-data-analysis
In this repo we're diving into NBA game data to explore the phenomenon of home court advantage.
analysis homecourt learning-curve linear-models logisticregression metrics model-selection nba nba-analytics nba-stats numpy pandas preprocessing seaborn sklearn standardscaler
Last synced: 06 Feb 2026
https://github.com/manuel-lang/numpymongo
A python package to export NumPy data to MongoDB
Last synced: 23 Feb 2026
https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations
This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.
jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode
Last synced: 28 Jan 2026
https://github.com/shreshthvashisht/bank-loan-case-study
Risk Analytics using Python
data-cleaning data-imputation data-normalization data-standardization exploratory-data-analysis jupyter-notebook loan-analytics loan-default-prediction matplotlib-pyplot numpy pandas python-data-analysis python-data-science risk-analysis seaborn-plots
Last synced: 07 May 2026
https://github.com/tugot17/neural-network-from-scratch
Simple neural network implemented from scratch using numpy package
from-scratch neural-network numpy python
Last synced: 26 Oct 2025
https://github.com/krichelj/dl_bgu_2021
Deep Learning course, Computer Science M.Sc., Ben Gurion University of the Negev, Israel, 2021
computer-science computer-vision computer-vision-algorithms convolutional-neural-networks deep-learning facial-recognition generative-adversarial-network neural-network nlp numpy recurrent-neural-networks rnn siamese-neural-network supervised-learning tensorboard tensorflow tensorflow-models text-generation
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https://github.com/kartmaan/fire-simulation
A realistic simulation of fire propagation using thermodynamic and combustion principles, developed in Python with Pygame and NumPy
combustion combustion-models fire fire-simulation heat-transfer ignition materials materials-science numpy pygame simulation thermal-capacity thermal-conductivity
Last synced: 19 Aug 2025
https://github.com/ggrbill/phd-plot-scripts
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hacktoberfest matplotlib numpy python
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https://github.com/anhquoc533/neural-network
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artificial-intelligence artificial-neural-networks deep-learning framework machine-learning machine-learning-algorithms neural-network neural-networks numpy python3
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https://github.com/pushtogithub23/projectilemotion-simulation
This Jupyter notebook explores projectile motion through mathematics, visualizations, and interactive simulations.
jupyter-notebook matplotlib-pyplot numpy physics-simulation projectile-motion-simulation
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https://github.com/gusenov/max-empty-rect-py
:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.
algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection
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https://github.com/eljandoubi/smart-beta-and-portfolio-optimization
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https://github.com/yenk/human-genomic-meta-analysis
Meta analysis of genomic studies to better understand if telomeres in the human genome are impacted by age from wild animals data.
linear-regression machine-learning matplotlib numpy scipy
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https://github.com/sonaligill/olympics-analysis
The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.
numpy plotly python scikit-learn scipy streamlit
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https://github.com/asut00/Machine-Learning-Program_42AI
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linear-regression machine-learning matplotlib numpy pandas python scikit-learn
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https://github.com/tristanbilot/mycnn
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data-science deep-learning machine-learning neural-networks numpy python
Last synced: 19 May 2026
https://github.com/labex-labs/quick-start-with-numpy
Quick Start with NumPy | This repo collects 15 of programming labs exercises for Quick Start with NumPy. This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.
challenges course exercises hands-on labex labs numpy playgroud programming python
Last synced: 31 Dec 2025
https://github.com/harmanveer2546/heart
Predicting the presence of heart disease based on several health-related factors and Performing - i.) Data Cleaning ii.) Data Pre-Processing iii.) EDA iv.) Compare 5 different classification algorithms (Logistic Regression, Decision Tree, Random Forest, KNN and SVC)
data-preprocessing decision-tree eda knn logistic-regression machine-learning numpy pandas random-forest roc-auc-curve svc
Last synced: 03 May 2026
https://github.com/bedirk/portfolio-projects
Data Analytics Portfolio Projects
dataanalysis excel mssqlserver numpy pandas powerbi python sql tableau
Last synced: 16 Mar 2026
https://github.com/lavkalsi/creditcardfrauddetector
Credit Card Fraud Detector is a React web app that predicts if a credit card transaction is fraudulent using a Python machine learning model. Users can input transaction data, and Flask facilitates communication between the backend and frontend. Backend files are located in the res folder. This app provides simple UI for user interaction.
fraud-detection machine-learning nodejs numpy pandas python reactjs sklearn-library
Last synced: 15 Apr 2026
https://github.com/lokranjanp/mnist-classifier
Mnist handwritten digit classifier from scratch using numpy only and also with CNN-tf. The aim is to make the models of almost equal accuracy.
mnist mnist-classification mnist-classifier numpy pandas tensorflow
Last synced: 02 May 2026
https://github.com/subratamondal1/machine-learning
Machine Learning Notes with tools like Numpy, Pandas, Scikit-Learn.
machine-learning numpy pandas scikit-learn
Last synced: 10 Apr 2026
https://github.com/mohitsai/boston-housing-data-analysis
Data Analysis Project for the City of Boston Government for insights into effect of property rennovations and remodelling on housing availability in the city
data-analysis data-science matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/dilkushsingh/iris-species-classifier
Used Random Forest Classifier Algorithm
huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit
Last synced: 15 Apr 2026
https://github.com/ambrish8/bell-s-palsy
BELL’S PALSY SEVERITY DETECTION USING DEEP LEARNING
cnn-architecture imagedatagenerator keras numpy opencv python pytorch resnet-50
Last synced: 15 Apr 2026
https://github.com/yashika-malhotra/machine-learning---linear-regression-on-education-institute
In this analysis, I built a model to predict graduate admissions using Linear, Ridge, Lasso, and ElasticNet regressions. CGPA, GRE, and TOEFL scores emerged as key predictors. ElasticNet effectively handled multicollinearity and balanced L1 and L2 regularization.
linear-models linear-regression matplotlib normalization numpy pandas python seaborn sklearn sklearn-library standardization standardscaler statsmodels
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https://github.com/djdhairya/parkinson-s-disease-detection
datapreprocessing machine-learning modeling numpy pandas scikit-learn svm
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https://github.com/guy1998/synthetic-data-generator-for-event-cameras
Automated workflow for the generation of synthetic data that can be used as an input for event cameras based on previously taken videos
computer-vision event-cameras numpy opencv synthetic-data
Last synced: 15 Apr 2026
https://github.com/sa001gar/password-manager-on-the-top-of-streamlit
Secure Password Manager is a Python-based application developed by Sagar Kundu, designed to provide users with a secure and convenient way to manage their passwords. With features like user authentication, password generation, and secure storage using bcrypt and MongoDB, it ensures the safety of sensitive information while offering an intuitive use
bcrypt gui-application mongodb numpy numpy-library pandas-dataframe pandas-library pandas-python password-generator password-manager pymongo python python3 streamlit-application streamlit-webapp urllib
Last synced: 15 Apr 2026
https://github.com/shwetapardhi/assignment-03-q5--hypothesis-testing
Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of
alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats
Last synced: 28 Jan 2026
https://github.com/subh888999/car-prices--analysis-projects
This repository houses projects focused on data collection, assessment, cleaning, visualization, and analysis. It includes workflows and methodologies for handling data, from initial gathering and evaluation to processing, visualizing insights, and performing in-depth analysis
jupyter-notebook matplotlib numpy panda seaborn statistics
Last synced: 03 May 2026