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/vedikasnehil/daily-leetcode-
Daily LeetCode Using Python is a project dedicated to solving coding challenges consistently using Python. It focuses on improving problem-solving skills, mastering Python techniques, and building a collection of clean, well-documented solutions. Perfect for interview preparation, learning algorithms, or daily coding practice!
matplotlib numpy pandas python python3 seaborn
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https://github.com/nickklos10/league-of-legends-match-predictor
Predicting League of Legends Match Outcomes Using Logistic Regression and PyTorch.
jupyter-notebook matplotlib numpy pandas pytorch scikit-learn seaborn
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https://github.com/aymen016/cosmic-mystery-challenge-2912
"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"
kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn
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https://github.com/mohamed15058/amazon-sales
amazon-sales
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https://github.com/aiwithqasim/ab-testing-for-shoefly.com
In this project, I had analyzed the data set of SHOEFLY.COM to find out valuable insights to check which platform is more useful for advertisement.
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Repository of several ML algorithms implemented for different environments and robot control vectors.
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Real time object detection that detects approximately 80 objects!!!!
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https://github.com/tkc/node-neural-network
Built with only pure typescript, neural network iris sample.
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This repository contains a simple web application for sentiment analysis of movie reviews using a pre-trained RNN model. The application is built with TensorFlow and Streamlit, making it easy to use and deploy.
numpy python streamlit tensorflow
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https://github.com/muhammad-rebaal/eda-with-python-and-pandas
Explore, Analyze, and Visualize Data with Python and Pandas: Dive into the world of data analysis and visualization using Python and Pandas with this repository. Discover valuable insights, clean and preprocess your data, and create stunning visualizations to make data-driven decisions.
calmap matplotlib numpy pandas python python3 seaborn
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https://github.com/hmourad2023/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
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https://github.com/alphan26/breastcancerclassification
This project involves a binary classification problem where we applied PyTorch to detect breast cancer.
matplotlib numpy pandas python pytorch
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https://github.com/yasharmaster/coursera-deep-learning
Deep Learning Specialization by Andrew Ng on Coursera.
coursera coursera-deep-learning deep-learning keras keras-tensorflow numpy python tensorflow
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https://github.com/omarsaad21/shopping-cart-eda
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https://github.com/rutujaingole/jailbreaking-deep-models
This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained
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https://github.com/lmizner/codecademy_marketing_data_anlaytics
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Basic Machine learning algorithms using scikit-learn and other fundamental libraries
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https://github.com/shwetapardhi/assignment-1-q9_b--basic-statistics-level-1
Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv
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The objective of the project is to create a machine learning model. We are doing a supervised learning and our aim is to do predictive analysis to predict housing price.
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Interactive terminal environment that allows users to explore 3D models in real-time.
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https://github.com/dyarleniber/hands-on-machine-learning
This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.
ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow
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This repo contains weekly practical codes for my Python for Data Science course at university.
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Driver Drowsiness Detection using Machine Learning
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https://github.com/moustafamohamed01/car-price-prediction
Car Price Prediction using Linear Regression A machine learning model that predicts car prices based on features like name, company, year, kilometers driven, and fuel type. Built with Linear Regression and deployed as a Streamlit web app.
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https://github.com/patex1987/ghcn-temperature-dataset
Analysis of GHCN (Global Historical Climatology Network) temperature dataset using Numpy
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https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies
This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.
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https://github.com/junaidsumsaal/advanceparkingsystem
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This is going to be my first end to end ML project implementation covering all required stages taking guidence from book called "Hands On Machine Learning".
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https://github.com/jagroop2001/learning-numpy
Learning NumPy complete the exercise
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https://github.com/amr-yasser226/pagerank-power-method
Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.
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This project evaluates the predictive performance of a CNN-LSTM Hybrid deep learning model for Bitcoin price movement prediction.
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Heart Disease Prediction App is a machine learning web application that predicts the likelihood of heart disease based on user medical inputs. Built using a Decision Tree Classifier and deployed with Streamlit for an interactive, user-friendly interface.
data-analysis descision-tree joblib jupyter-notebook machine-learning matplotlib numpy pandas python3 seaborn sklearn streamlit vscode
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https://github.com/aaaastark/textclassification-nlp-project
Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV
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https://github.com/disney35/stock-prices-dashboard
A dashboard to analyze, predict, and visualize stock prices using Python & LSTM
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Analysis of 50,000+ veterinary medicine records with Pandas and NumPy, highlighting dosage forms, manufacturers, indications, and shelf life trends.
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https://github.com/batthulavinay/which-anime-dominates-the-world
This Kaggle notebook analyzes the global popularity of anime across different countries. Using data visualization and statistical insights, we explore which anime dominate in various regions and uncover trends in global anime consumption.
data-visualization exploratory-data-analysis matplotlib numpy pandas python seaborn
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https://github.com/balakrish001/python-course
The Python course provides a thorough foundation in Python programming, starting with core concepts and progressing to OOP. It covers essential libraries like NumPy and Pandas for data manipulation and analysis. You'll also learn how to send emails using Python's SMTP library and interact with APIs for real-world applications,
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https://github.com/akashash01/support_vector_machine
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projects related with data science and machine learning projects.
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Exploratory Data Analysis of an online retail store
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https://github.com/mat-kubiak/manual-ml
DIY ML framework (using only NumPy!) + various demos
artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy
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https://github.com/zhanziyuan/pixelpuzzle-web
Encode/decode images using Base64 or shuffle/recover the pixels of images.
anime encryption image image-processing numpy python
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🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.
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🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.
building-classification data-processing dataset france geospatial gis ign lidar lidar-hd numpy point-cloud scikit-learn
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Developed an AI chatbot using the Cornell Movie Dialogs dataset; trained an LSTM-based model to generate context-aware, conversational responses for user inputs.
keras lstm-sentiment-analysis neural-networks nlp numpy python tensorflow tokenizer
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Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類
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https://github.com/svastikkka/data-science-machine-learning
Data Science and Machine Learning
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Classify tweets into happy, sad, angry, excited, and neutral with this interactive Python model. Combining TF-IDF text features with engineered numeric features like emoji sentiment, polarity, subjectivity, and punctuation counts, it demonstrates intermediate-level NLP, feature engineering, and visualization skills.
data-science data-visualization jupyter-notebook machine-learning matplotlib nlp numpy pandas sklearn string textblob
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https://github.com/thejvdev/ml-from-scratch
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https://github.com/raveenaross/bulldozer-price-prediction
Predicting the sale price of bulldozers using machine learning
matplotlib numpy pandas sklearn time
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https://github.com/prarthana-singh/bangalore-house-price-predictor
🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.
data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn
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https://github.com/carolina-riddick/xg-by-match-segments-football-analysis
futbol matplotlib numpy python segments soccer-analytics xg
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https://github.com/prashhhant213/cardioflex-treadmill-analysis-using-descriptive-statistics-probability
Description Analysis and Visualization on CardioFlex Treadmill data to provide insights and recommendations to improve their userbase.
colab-notebook numpy pandas probability python stats
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https://github.com/brian-hepler-phd/kak-decomposition-qml
Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.
lie-theory machine-learning numpy pennylane qml quantum-computing quantum-gate-decomposition scipy su4
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https://github.com/yashlad27/machine_learning_data_science
Zero To Hero
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https://github.com/imdeepmind/knn_from_scratch
KNN classifier in pure Numpy and Python
knn knn-classification machine-learning numpy python
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https://github.com/costopoulos/ntua-telecommunications
:radio: :telephone_receiver: NTUA ECE Telecommunications Course Code & Report
numpy nyquist python sampling scipy telecommunications
Last synced: 20 Apr 2026
https://github.com/thkox/uni_2023-content-based-image-retrieval
This project is a team assignment for the "Image Analysis" course, offered in the 7th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
7th-semester cartesian-product content-based-image-retrieval department-of-informatics hyperedge-similarity-calculation hypergraph image-analysis matplotlib networkx numpy python rank-normalization scipy torchvision university-of-piraeus
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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
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https://github.com/mahmood-anaam/grid-world-value-iteration
An implementation of the Value Iteration algorithm for solving the Grid World problem. This project provides a function to compute the optimal value function for a grid-based environment where a robot navigates to maximize rewards while avoiding penalties.
dynamic-programming grid-world numpy optimization-problem python value-iteration-algorithm
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https://github.com/pd2871/streamlit_automl
Auto Exploratory Data Analysis using Streamlit App
matplotlib numpy pandas python streamlit streamlit-webapp
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https://github.com/thaisgarcia/convert-censo-file
Este repositório contém scripts Python para processar dados destinados ao censo do MEC, incluindo a leitura de um arquivo TXT, a geração de um arquivo Excel e a conversão desse arquivo Excel de volta para um formato de texto.
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https://github.com/ashishsingh789/titanic_dataset_eda_and_visualization
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https://github.com/ben854719/autonomous-health-monitoring-emergency-response
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https://github.com/hiftd22/wpattern
📈 Analyze and visualize stock patterns with wPattern for better trading insights. Simplify your investment decisions through data-driven analysis.
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Last synced: 09 May 2026
https://github.com/manjotkaurgill/agritech
Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.
flask generative-ai insight-generation machine-learning matplotlib mongodb nextjs numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/chandkund/stock-price-prediction-
Predict Tesla stock prices using historical data. The project preprocesses data, applies normalization and standardization, trains a linear regression model, and evaluates its performance. Visualizations include box plots and time series plots.
data-science linear-regression numpy pandas plotly python sklearn sklearn-model
Last synced: 21 Jan 2026
https://github.com/shubhamahobia/lstm-hamlet
The LSTM Next Word Prediction project trains a model on Hamlet to predict the next word in a sequence. After preprocessing the text, an LSTM network learns patterns in the language. The trained model can then generate text by predicting the next word in a given sequence, with its accuracy evaluated to ensure it effectively models the language.
deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python
Last synced: 11 Apr 2026
https://github.com/eiichiroito/numpharo
NumPy like tools for Pharo Smalltalk
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Last synced: 18 Jan 2026
https://github.com/piyushxbhardwaj/credit-card-fraud-detection
In this project, we focus on developing a machine learning model to detect fraudulent transactions within credit card data. Credit card fraud poses a significant challenge to financial institutions and consumers globally, with traditional rule-based detection systems often struggling to adapt to new fraud tactics.
matplotlib numpy pandas python scikit-image seaborn
Last synced: 16 Feb 2026
https://github.com/rakibhhridoy/differentprojects
Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!
data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics
Last synced: 11 Apr 2026
https://github.com/mkdirer/disaster-tweet-nlp-adaboost-transformers
A machine learning project that classifies tweets as disaster-related or non-disaster-related using transformers and the AdaBoost technique. Achieved an accuracy of approximately 80% on the validation set
geopy keras matplotlib numpy pandas python sklearn tensorflow
Last synced: 12 Apr 2026
https://github.com/rachakondaganesh/superstore-sales-data-analysis-project
Analyzed retail sales data to uncover key business insights using Python and Power BI. Explored patterns in profit, sales, and customer segments across regions. Built interactive dashboards to visualize trends, identify top-performing categories, and highlight areas for improvement in shipping and discount strategies.
dashboard exploratory-data-analysis matplotlib-pyplot numpy pandas powerbi seaborn
Last synced: 02 May 2026
https://github.com/hmotez/medclaimml
An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.
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Last synced: 12 Apr 2026
https://github.com/ahmedabdalkreem/lung-cancer
It help to know the patient have lung cancer or not and show what depenent in this disease that lead to this disease.
matplotlib numpy pandas python sklearn-library
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https://github.com/ellennewerkla/eda_students_performance
EDA em Python com Pandas, Matplotlib e Seaborn para identificar padrões de desempenho em estudantes.
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https://github.com/khursheedahmedd/machine-learning
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https://github.com/yappy2000d/pps-ndarray
Multi-dimensional array implementation
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https://github.com/faisal-khann/ipl-analysis
The IPL Analysis project is a comprehensive data-driven exploration of the Indian Premier League (IPL), analyzing historical match data to uncover patterns in team performance, player statistics, and match outcomes.
data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas seaborn
Last synced: 08 May 2026
https://github.com/yeisson8a/tallerdataanalysis
Taller de Data Analysis utilizando Python y las librerías Pandas, NumPy, Seaborn, Matplotlib para manipulación de datos de un archivo, así como la librería Statsmodels para regresiones lineales.
analisis-de-datos linear-regression matplotlib numpy pandas python3 seaborn statsmodels
Last synced: 14 Apr 2026