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/rajatnai49/data-science-practices
In this, I am adding all the Python exercises with the solutions related to data handling, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization.
jupyter-notebook matplotlib numpy pandas python
Last synced: 09 Apr 2026
https://github.com/jpcadena/pharmacy-prices-prediction
Prices prediction project for Pharmacy products.
artificial-intelligence data-analysis data-science deep-learning keras machine-learning machine-learning-models neural-network numpy pandas pharmacy prediction price-prediction pylint python scikit-learn supervised-learning tensorflow
Last synced: 07 Apr 2026
https://github.com/tomas542/dl_examples
Examples of Machine Learning, Deep Learning, Natural Language Processing and so on
computer-vision cv deep-learning dl keras machine-learning ml natural-language-processing nlp numpy python pytorch scikit-learn
Last synced: 08 Apr 2026
https://github.com/singhvishal003/stock-price-predict
Stock Price Prediction model using yfinance data .
keras matplotlib numpy pandas yfinance
Last synced: 08 Apr 2026
https://github.com/mondalbidisha/landmark-recognition
A solution for identifying and recognizing landmarks from images, addressing key challenges and leveraging both algorithmic and human expertise to achieve high accuracy and reliability.
jupyter-notebook kaggle kaggle-datasets numpy pandas python3
Last synced: 08 Apr 2026
https://github.com/gmork2/covid-19
A mathematical analysis of the infection growth
coronavirus covid-19 jupyter-notebook numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/lorenzorottigni/ml-lending-club
Machine Learning python bootcamp: random forest classifier on LendingClub dataset
ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/muhdhammad/machine-learning
Crafted for hands-on learning and implementation of ML with scikit-learn
data-science jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/shweta189/sms-spam-detection
Detecting Spam SMS's messages using machine learning algorithms.Utilizing NLP techniques such as tf-idf vectorization and machine learning algorithms like naive bayes and logistic regression for classifications. Integrated with Streamlit to create an interactive web app where users can input a message and instantly check if it's spam or not.
eda machine-learning-models nltk numpy pandas plotly python seaborn streamlit
Last synced: 07 Apr 2026
https://github.com/audy21/datacamp
Learning portfolio documenting my progress, while taking Data Analyst & Data Science certifications from DataCamp.
data-analysis data-science machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/shubh-bharadwaj/zomato-dataset-analysis
Zomato Dataset Analysis
data-analysis data-science data-visualization numpy pandas python sklearn
Last synced: 07 Apr 2026
https://github.com/manshreet27/mrs
This Movie Recommendation System is a web-based application built using Python and Streamlit, designed to provide movie recommendations based on user preferences. It utilizes TMDb API for fetching real-time movie details and Kaggle's TMDB 5000 Movies dataset for content-based filtering.
numpy pandas python scikit-learn streamlit tmdb-5000-movies-dataset-from-kaggle tmdb-api-for-fetching-real-time-movie-data
Last synced: 07 Apr 2026
https://github.com/lintangwisesa/flask_sklearn_californiahouse
Simple Flask App with Linear Regression model to predict California house pricing 🏠
california-house-pricing flask linear-regression machine-learning numpy pandas sklearn
Last synced: 12 Apr 2026
https://github.com/seymencanates/pythonn
Here is my all personal educations , notes , basic apps I did. Here will be my backside for all supportive information about python I am gonna need.
django flask numpy pandas python3 scikitlearn-machine-learning tensorflow tkinter
Last synced: 08 Apr 2026
https://github.com/amanyadav-07/customer-churn-prediction
Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.
accuracy-metrics data-analysis data-visualization logistic-regression machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn sklearn xgboost-classifier
Last synced: 11 Apr 2026
https://github.com/vyjayanthipolapragada/fraud_detection_creditcard
Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML
classification-model data-preprocessing decision-tree-classifier kaggle-dataset machine-learning numpy pandas python scikit-learn snapml time tree-model
Last synced: 11 Apr 2026
https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding
Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.
l1-normalization l2-norm numpy pytho video-cod
Last synced: 04 Apr 2025
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/hariprasath-v/machinehack_analytics_olympiad_2023
Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.
binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap
Last synced: 08 Apr 2026
https://github.com/shekharkram/project
A collection of data analytics projects showcasing skills in data cleaning, exploration, visualization, and basic SQL queries. Designed to demonstrate entry-level data analyst competencies using real-world datasets and tools.
datacleaning excel jupyter-notebook mysql numpy pandas postgresql python sql
Last synced: 07 Apr 2026
https://github.com/priyanshulathi/cancer-diagnosis-prediction-model
A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.
machine-learning numpy pandas python scikit-learn
Last synced: 03 Jan 2026
https://github.com/vivekmodak3/multiple-disease-prediction-system--streamlit-webapp
This repository contains the codebase for "Multiple Disease Prediction Streamlit App". The training notebooks & the datasets are also provided in the respective folders.
machine-learning-algorithms numpy pandas python3 scikitlearn-machine-learning streamlit
Last synced: 07 Apr 2026
https://github.com/alphacrypto246/insurance-charges-prediction
The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 03 May 2026
https://github.com/edegan-furb/conwaygameoflife
This project is a simulation of Conway's Game of Life using Python with the Pygame library.
conways-game-of-life numpy pygame python
Last synced: 29 Apr 2026
https://github.com/gauravpatil04/ml
This repo is on "Basics skills required for Machine Learning"
matplotlib numpy pandas python seaborn
Last synced: 11 Jul 2025
https://github.com/ashkarin/rawimage
Read and write RAW images (or data arrays) without a headache.
image-processing imagej ndarray numpy raw-data raw-image readers writers
Last synced: 28 Apr 2026
https://github.com/rahatmoktadir03/customer-churn-prediction
A machine learning project for predicting customer churn, enabling businesses to identify at-risk customers and develop retention strategies.
business-analytics customer-churn-prediction data-science google-colab machine-learning numpy pandas python sklearn strreamlit xception-model
Last synced: 11 Apr 2026
https://github.com/shankhadweep/diabetes-prediction-systemv3
This project demonstrates a machine learning solution for predicting diabetes based on user-provided health data. The application uses Streamlit for an interactive web interface and advanced interpretability tools like SHAP and permutation importance to explain model predictions.
jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp
Last synced: 01 May 2026
https://github.com/fjohnson87/planning-and-feasability
Data-driven feasibility analysis using pandas, seaborn, and FAO food supply data
Last synced: 04 May 2026
https://github.com/atharvkadammm/suicide-prediction-system
A machine learning project predicting suicide risk based on multiple socio-economic and environmental factors using data mining techniques.
csv data-analysis data-science data-visualization datamining exploratory-data-analysis feature-engineering machine-learnin matplotlib mental-health numpy pandas riskassesment seaborn sklearn suicide-prediction supervised-
Last synced: 01 Jul 2025
https://github.com/atharvkadammm/calmlytic
An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and behavioral features.
anxiety-prediction classification csv data-analysis data-preprocessing-and-cleaning data-science data-visualization ensemble-learning logistic-regression machine-learning-algorithms matplotlib mental-health numpy pandas python sci-kit-learn seaborn supervised-learning svm xgboost
Last synced: 21 Jun 2025
https://github.com/chintanboghara/rocket-simulation
A comprehensive web-based orbital mechanics simulator with advanced mission planning, real-time tracking, and educational features.
docker flask html javascript numpy plotly python
Last synced: 11 Apr 2026
https://github.com/armahdavi/analytics_statistics_ML_plotting_dust_extraction_hvac_filters_ph2
PhD Technical Paper 1 - Phase 2 - 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
data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics
Last synced: 17 Sep 2025
https://github.com/ayushhhh123/diwali_sales_analysis
This project provides a comprehensive analysis of Diwali sales data using Python. The primary goal is to derive business insights from customer purchasing behavior during the Diwali festival season. This analysis can help improve marketing strategies, customer targeting, and overall sales performance.
matplotlib numpy pandas python seaborn
Last synced: 07 May 2026
https://github.com/trivediayush/python-bootcamp
This repository contains code, notes, and examples from my journey learning Python and its essential libraries.
flask matplotlib numpy pandas python python3 pythonbootcamp
Last synced: 01 Jul 2025
https://github.com/jpcadena/malware-analysis
Analysis of malware signatures and their associated Common Vulnerabilities and Exposures (CVEs)
black common-vulnerabilities-and-exposures cve-search data-analysis data-engineering data-reporting data-visualization isort malware-analysis matplotlib mypy numpy pandas plotly poetry pre-commit pydantic python ruff seaborn
Last synced: 03 Mar 2026
https://github.com/abeertechcamus/documentdata
The dataset was cleaned and queried using Python inside Jupyter Notebook and visualizes using PowerBI Document Data Analysis Projects
dax jupyter-notebook numpy pandas powerbi python
Last synced: 04 May 2026
https://github.com/pedronjorge/average-face-python
Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy
dlib image-generation jupyter-notebook numpy opencv python3
Last synced: 21 Jun 2025
https://github.com/dakshsammi/arkaid
Arkaid is a game performance analytics platform developed for the Information Integration Architecture Course - CSE656 (IIIT Delhi). It uses a data warehouse approach to analyze gaming data from multiple sources and provides insights via an AI-driven interface.
ai airflow aws database-management datawarehouse docker etl flask information-integration numpy openai postgresql python togetherai
Last synced: 09 Apr 2026
https://github.com/roluochke/real-estate-price-prediction-app
This is a data science project for a real estate price prediction website.
flask html-css-javascript jupyter-notebook matplotlib numpy python sklearn
Last synced: 09 Apr 2026
https://github.com/nik-kusanagi/jupyter
Treinamento Para Análise de Dados.
big-data jupyter jupyter-notebook matplotlib numpy pandas python python3
Last synced: 30 Apr 2026
https://github.com/dsowles/miniproject1davidsowles2025
INF601 Mini Project 1
Last synced: 16 May 2026
https://github.com/abyshergill/ultralytics_yolo_object_detection_testing_gui
This is a desktop application for real-time object detection using the YOLO (You Only Look Once) model build with ultralytics libarary. It's built with PyQt5 for the graphical user interface and OpenCV for video and image processing. The application allows users to load a YOLO model, adjust detection settings, and perform object detection on media.
numpy opencv-python pytorch qt5-gui threading ultralytics yolo
Last synced: 08 May 2026
https://github.com/prachi005748/website-performance-data-analysis-project
Briefly describe the objective of the project—e.g., analyzing website performance metrics over time, uncovering trends in user engagement, or evaluating channel-wise traffic quality.
data-analyst data-cleaning data-preprocessing data-visualization data-visualization-python exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn storytelling
Last synced: 01 May 2026
https://github.com/samiksha29-patil/e-commerce-sales-insights-dashboard
This project focuses on analyzing e-commerce sales data through data visualization. It highlights customer behavior, popular sales channels, product category trends, and city-wise performance to provide actionable business insights.
analytics customer-insights data-visualization ecommerce matplotlib numpy pandas python sales-analysis seaborn
Last synced: 03 May 2026
https://github.com/princeoncada/quant-pca-risk
Applies Principal Component Analysis (PCA) to daily returns of 20 US equities (2015–2025) to uncover hidden risk factors. Explores variance explained, scree, loadings, factor returns, covariance reconstruction, and Varimax rotation. Results show 3–5 PCs capture ~75% of portfolio risk.
correlation-analysis covariance-matrix dimensionality-reduction factor-models matplotlib numpy pandas pca portfolio-risk principal-component-analysis python quantitative-finance time-series-analysis variance varimax
Last synced: 06 May 2026
https://github.com/samiksha29-patil/flipkart-mobiles-data-analysis-visualization-in-python
This project analyzes Flipkart Mobiles Dataset to extract useful insights about mobile phones, their pricing, ratings, discounts, and customer reviews. The analysis and visualization are done using Python to understand market trends and customer preferences.
data-analysis data-visualization matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/makcoder-2004/exploratory-data-analysis-projects
This repository features Exploratory Data Analysis (EDA) projects using Python, Pandas, NumPy, Matplotlib, and Seaborn to clean, explore, and visualize data. The goal is to uncover patterns, trends, and insights through statistical analysis and clear visualizations, preparing datasets for deeper analysis or modeling.
csv-files dataframes jyputer-notebook matplotlib numpy pandas seaborn
Last synced: 07 May 2026
https://github.com/kandil2001/lid-cavity-evolution
Lid Cavity Evolution is an open-source CFD suite for the lid-driven cavity problem, featuring MATLAB, Python, and parallel solvers with benchmark comparisons.
benchmarking cfd cfd-simulation lid-driven-cavity matlab mpi numpy open-source openfoam openmp parallel-computing python scientific-computing simple-algorithm star-ccm
Last synced: 06 May 2026
https://github.com/labex-labs/numpy-for-beginners
This comprehensive course covers the fundamental concepts and practical techniques of NumPy, the essential library for numerical computing in Python. Learn to create, manipulate, and analyze arrays efficiently.
array-manipulation array-slicing beginner-friendly course data-analysis data-science data-structures fast-computation hands-on labex labs linear-algebra matrix-operations numerical-computing numpy programming python python-programming scientific-computing vectorized-operations
Last synced: 20 Jun 2026
https://github.com/jaketherealone/machinelearningtoolset
Collection of primary tools used in the field of machine learning - Written for numpy projects
machine-learning numpy python toolset
Last synced: 19 Jun 2026
https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning
Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.
exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization
Last synced: 27 Apr 2026
https://github.com/radithsandeepa/robot-path-visualizer
Welcome to Robot Path Visualizer! This tiny project uses Python, Pygame, and NumPy to replay a precomputed trajectory (x, y, θ). It rotates a robot sprite frame-by-frame and draws a trail, making it handy for diff-drive path playback, simulation demos, and quick visual debugging of robotics experiments.
animation numpy pygame python robot-simulation robotics trajectory-visualization
Last synced: 18 Sep 2025
https://github.com/sumaiyyaf/spotify-data-analysis
This project explores Spotify music data, using Python to clean, analyze, and visualize the dataset. It examines the relationship between audio features and sentiment in song lyrics, uncovering patterns and trends to provide valuable insights into music preferences.
Last synced: 08 May 2026
https://github.com/brenofariasdasilva/dagster-heart-disease-risk
Dagster Heart Disease Risk Model.
dagster heart-disease jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/crvargasm/metnumun2021i
Universidad Nacional de Colombia - Métodos Numéricos ~ Grupo 1 2021-I
matplotlib numerical-analysis numpy pandas python quantopian
Last synced: 12 Apr 2026
https://github.com/anushkapal28/maatri-care
MaatriCare is an AI-based healthcare application designed to provide personalized nutrition advice and maternal care recommendations for pregnant women, lactating mothers, and women in general.
gemini-api jupyter-notebook labelencoder numpy pandas python3 random-forest streamlit svm-training
Last synced: 18 Sep 2025
https://github.com/jpcadena/cancer-classification
Breast cancer classification project.
cancer-detection classification data-analysis data-science deep-learning imblearn machine-learning neuronal-network numpy pandas pylint python scikit-learn supervised-learning tensorflow
Last synced: 09 Apr 2026
https://github.com/rarawe/taskly
A public repository for taskly
celery flutter-app hacktoberfest numpy pandas pydata queue queue-workers queued-jobs redis redis-queue scikit-learn scipy task-runner
Last synced: 09 Apr 2026
https://github.com/noxs1d/cv-emotion-classification
This project is a deep learning-based system for detecting human emotions from facial images using TensorFlow, OpenCV, and NumPy.
cnn cnn-classification dockerfile keras numpy opencv tensorflow transfer-learning
Last synced: 09 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/pythoncoderunicorn/linear-algebra-python
Linear Algebra in Python
Last synced: 07 Apr 2026
https://github.com/gospacedev/exoseeker
A machine learning exoplanet transit data analysis web interface
artificial-intelligence exoplanet-transits exoplanets gradient-boosting machine-learning matplotlib nasa nasa-data nasa-spaceapps-challenge numpy pandas perceptron-neural-networks random-forest sklearn streamlit
Last synced: 07 Apr 2026
https://github.com/aritrakar/ml-from-scratch
🤖Common ML implementations from scratch.
machine-learning numpy pandas python pytorch
Last synced: 07 Apr 2026
https://github.com/aasmirnov-webdev/data_science_projects
Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".
bert catboost data-science database lgbm mashine-learning matplotlib numpy pandas python pytorch scikit-learn scipy seaborn sql xgboost
Last synced: 06 Apr 2026
https://github.com/marferdom/codenotes
Notes while learning to code in python
fastai ipython matplotlib-pyplot numpy python sci-kit-learn seaborn tensorflow tkinter torch
Last synced: 04 Apr 2026
https://github.com/mayankmittal29/tensortinker_statistical_methods_in_ai
This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.
autoencoder-mnist cupy gmm-clustering image-segmentation matplotlib-pyplot mlp-classifier mlp-regressor mnist-dataset numpy pandas pca python3 pytorch roc-auc seaborn torch variational-autoencoder
Last synced: 09 Apr 2026
https://github.com/nguyenanhtuan1912/datatable-image-to-text
Repository này là đồ án môn học Computer Vision
computer-vision javascript nodejs numpy opencv python tesseract
Last synced: 09 Apr 2026
https://github.com/har8899/students-scores
Data Analysis with Python
dataanalysis dataframe matplotlib numpy python seaborn
Last synced: 09 Apr 2026
https://github.com/greatmonster11/ct202
Machine Learning Theorety
clustering decision-tree iris-dataset k-fold linear-regression numpy pandas perceptron-learning-algorithm python sklearn
Last synced: 05 Apr 2026
https://github.com/michaeldehaney94/opencv
Python OpenCV computer vision projects
matplotlib numpy opencv-python python
Last synced: 20 Jun 2025
https://github.com/lorenzorottigni/ml-interview
Machine Learning python bootcamp: K Nearest Neighbors job interview simulation dataset
ipynb k-nearest-neighbours machine-learning numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/eduardoprofe666/mn-api
🐍📦 Paquete de Python con implementaciones de métodos numéricos
mn-api numerical-methods numpy pandas python scipy simpy tabulate
Last synced: 04 Jan 2026
https://github.com/mirzaazwad/tymbert
TYMBert is our submission for NCIM 2025, a spam classifier that makes use of knowledge distillation to compress the model while preserving accuracy
bert huggingface-transformers knowledge-distillation machine-learning matplotlib numpy pandas python3 scikit-learn tiny-bert torch
Last synced: 09 Apr 2026
https://github.com/jcardonamde/datasets_ml
This project analyzes cab and limousine travel data in New York City. This with the goal of predicting the total duration of trips within the city. Machine learning models were used.
data-science machine-learning machine-learning-algorithms matplotlib numpy pandas pipelines python seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/stefagnone/text_adventure_game
A text-based adventure game project using Python fundamentals
matplotlib numpy pandas python r scikit-learn seaborn sql
Last synced: 09 Apr 2026
https://github.com/n-t-raghava/the_sweet_16
This project detects faces in real-time from a webcam feed or an uploaded image and predicts age (in bins of 5 years) and gender (Male/Female). The model is based on OpenCV’s Deep Neural Network (DNN) module and pre-trained models for face, age, and gender detection.
caffemodel deep-learning flask numpy opencv python
Last synced: 09 Apr 2026
https://github.com/shauryashaurya/marty_mcfly
Code, text and notebooks on a tutorial for Introduction to Machine Learning using open sources
anaconda jupyter-notebooks machine-learning machine-learning-tutorials notebook numpy python regression scikit-learn scipy tutorial
Last synced: 09 Apr 2026
https://github.com/haseebulhassan437/lstm-next-word-predictor
A deep learning-based LSTM model for predicting the next word in a sequence using natural language processing techniques.
keras-tensorflow lstm numpy tensorflow
Last synced: 18 Apr 2026
https://github.com/rajireddy15/employee-attrition-prediction-hr-analytics-
Employee Attrition Prediction (HR Analytics) helps organizations analyze employee data, identify factors driving turnover, and predict attrition using machine learning and visual dashboards, enabling data-driven HR decisions and retention strategies.
data-cleaning data-collection data-manipulation data-preprocessing data-science data-visualization eda feature-engineering imbalanced-data machine-learning mysql-database numpy pandas
Last synced: 04 May 2026
https://github.com/ghaniketrajputp005/adobe-gensolve-hackathon-2024
This Project aims to identify, regularize, and beautify curves in 2D Euclidean space.
cv2 keras-tensorflow numpy os sklearn
Last synced: 07 Feb 2026
https://github.com/itzzmeakhi/ab-testing
This project was done as a part of Udacity's Data Analyst Nanodegree program in which AB-Testing is performed for the users under treatment and control groups to predict whether changes should be done for an website or it is ideal to keep the existing one, based on the performance of old and new pages. Hypothesis testing, z-test, and Logistic Regression is performed to predict results.
bootstrapping hypothesis-testing jupyter-notebook matplotlib numpy pandas python statistics z-test
Last synced: 04 May 2026
https://github.com/kishanlalchoudhary/be-sem-8
BE SEM 8 Assignments
cpp deep-learning hpc keras matplotlib numpy openmp pandas scikit-learn seaborn tensorflow
Last synced: 28 Jul 2025
https://github.com/faraazarsath/handson-numpy
This respository is on various Numpy Tasks provided as academic assignment
Last synced: 16 May 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-polygon-graph
A demo of creating a 3d polygon graph.
3d graph matplotlib numpy pandas polygon python web
Last synced: 03 May 2026
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
Last synced: 05 May 2026
https://github.com/fdopa/curso-ciencia-datos
Contenido completo del curso
calculus csv data-science database example graphics-programming ipynb-jupyter-notebook jupyter-notebook library markdow-editor markdown md migration notebook numpy pandas preview python rules web
Last synced: 05 Mar 2026
https://github.com/aysh2603/credit-card-fraud-detection
The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.
ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit
Last synced: 04 Feb 2026
https://github.com/aqueeqazam/a-deep-dive-introduction-to-tensorflow
TensorFlow is a deep learning system that provides an interface for expressing deep learning algorithms and implementing them. It uses dataflow graphs to represent computation, shared state, and the operations that mutate that state.
deep-learning neural-network numpy tensor tensorflow
Last synced: 03 Aug 2025
https://github.com/sadegh-khedry/pneumonia-detection-using-cnn
Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).
cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow
Last synced: 11 Apr 2026
https://github.com/epsoft/tex-classification
Tex Classification
classification classification-algorithm farsi matplotlib numpy pandas persian tensorflow tex-classification textvectorization
Last synced: 09 Apr 2026
https://github.com/subhashpolisetti/crispdm-semma-kdd-workflows
This repository demonstrates three data mining methodologies applied to various real-world datasets: CRISP-DM (Weather Analysis), KDD (Social Media Ads Analysis), and SEMMA (Spotify Recommendation System). Each project includes data exploration, preprocessing, modeling, and evaluation steps, along with comprehensive documentation, supporting files,
clustering-algorithm crisp-dm kdd latex-template machine-learning numpy pandas random-forest research-paper semma
Last synced: 07 May 2026
https://github.com/mohammedrashithkp/drlforsnakegame
This project utilises a Deep Reinforcement Learning specifically Q learning implemented using PyTorch which learns the game by interacting with the pygame environment .I have followed a tutorial on Freecodecamp YouTube Channel and made the initial model.
deep-reinforcement-learning matplotlib-pyplot numpy pygame python
Last synced: 16 May 2026
