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/szymon-budziak/real_estate_house_prices_prediction
Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.
data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn
Last synced: 21 Jan 2026
https://github.com/florasteve/ml-foundations-day1
Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).
ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy python3 terminal-mac tutorial visualization vscode
Last synced: 04 May 2026
https://github.com/dhanish03/credit_card_fraud_detection
Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.
kaggle-dataset numpy pandas-dataframe python3 sklearn
Last synced: 16 Apr 2026
https://github.com/aniruddhakhedkar/eda_to_evaluate_bank_telemarketing_campaign_for_revenue_enhancement
Exploratory_Data_Analysis_Python_Project_2
datavisualization duplicate-detection imputation-methods numpy outlier-removal pandas seaborn statistical-analysis
Last synced: 27 Jan 2026
https://github.com/hyperplasma/olympic-visualization-analysis
Multidimensional analysis and visualization of Olympic medals, economy, and happiness index.
data-analysis data-visualization matplotlib numpy pandas python wordcloud
Last synced: 04 May 2026
https://github.com/abhishekyadav915/multiple_disease_prediction_using_ml
Developed a web-based application for predicting the likelihood of multiple diseases using machine learning models with accuracy up to 95%.
colab-notebook logistic-regression numpy pandas python3 sklearn spyder-python-ide streamlit-web streamlitcloud svm-classifier
Last synced: 05 May 2026
https://github.com/mooseburger1/nfl-social-network-analysis
Performing Social Network Analysis on the 2017 NFL schedule - Scraping the web with Python and Pandas
data-mining data-science data-visualization gephi matplotlib networkx networkx-graph numpy pandas-dataframe python-3 regular-expression social-network-analysis web-scraping
Last synced: 18 Apr 2026
https://github.com/i-am-nolan25/python-for-data-science-ai-development
Jupyter Notebooks from Python for Data Science, AI & Development Course
api beautifulsoup data-science data-visualization datacollection datastructures matplotlib numpy pandas python rest-api webscraping
Last synced: 06 Mar 2025
https://github.com/wasifsohail5/amusic-ai_powered_musicrecommendationsystem
AMUSIC is an AI-driven music recommendation system that helps users discover personalized songs. Using Python, Streamlit, and Scikit-learn, it offers smart recommendations, advanced search, and interactive music insights. Users can save favorites, create playlists, and export data for a seamless music discovery experience.
joblib k-nearest-neighbours matplotlib minmaxscaler numpy pandas pickle plotly python scikit-learn seaborn streamlit
Last synced: 14 Oct 2025
https://github.com/ayorick23/python-data-science-cheat-sheet
Guía rápida y práctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cómo usar las librerías más comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus análisis diarios.
cheat-sheet data-analysis data-science data-visualization deep-learning jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn scipy seaborn statistics sympy tensorflow
Last synced: 07 Apr 2026
https://github.com/linsanity03/algorithmic_trading
Trading strategy based on the intersection of short-term and long-term moving averages.
jupyter-notebook matplotlib-pyplot numpy pandas
Last synced: 04 May 2026
https://github.com/yahiazakaria445/ensemble-learning-voting-classifier
Ensemble Learning Using KNN, Naive Bayes, Decision Tree on Biomechanical Data
matplotlib numpy pandas scikit-learn seaborn
Last synced: 30 Apr 2026
https://github.com/volf52/deep-neural-net
A simple deep neural net class written to work with Numpy and Cupy
binarized-neural-networks binary-neural-networks bnn cupy deep-learning deep-neural-networks mnist numpy python python3
Last synced: 05 May 2026
https://github.com/hansalemaos/cirdhighspeedcoverter
High speed conversion of IP addresses represented in CIDR notation into their corresponding start and end IPs, along with their respective subnet masks.
cidr data-manipulation ip-addresses ip-conversion network network-management network-security numpy pandas subnet-mask
Last synced: 27 Jan 2026
https://github.com/misszeferino/erp-data-analysis
Data Analysis - ERP Data (merge and outliers)
data-analysis data-visualization matplotlib merge numpy outlier-detection python scipy
Last synced: 11 Apr 2026
https://github.com/hoyirul/flask-starter-fs
Flask-Starter-FS is a concise full-stack starter kit for Flask web development, offering quick setup and pre-configured settings for seamless integration of front-end and back-end components. Accelerate your full-stack web application development with Flask-Starter-FS.
flask machine-learning numpy pandas python sklearn
Last synced: 14 Apr 2026
https://github.com/varkenvarken/blempy
small, safe utilities to efficiently transfer Blender property-collection attributes (e.g. vertex coordinates) to/from NumPy arrays and perform vectorized operations with minimal Python overhead.
Last synced: 13 Jan 2026
https://github.com/secary/maths7027
Mathematical Foundations of Data Science
latex mathematics numpy pandas
Last synced: 04 May 2026
https://github.com/wwwmisla/gerador-mapas-calor
Sistema de visão computacional para gerar mapas de calor com base na movimentação em espaços públicos, auxiliando no planejamento urbano e uso eficiente do espaço.
color computer-vision demo google-colab gradio heatmap marchine-learning matplotlib model numpy opencv people-detection python smart-city ufrn visao-computacional vision-computer yolo yolov8
Last synced: 04 May 2026
https://github.com/timothyjan/intro-machine-learning-classifiers
We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.
numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/grand-27-master/fingers-tap
A real-time multi-finger tap detection system
mediapipe numpy opencv python3
Last synced: 14 Apr 2026
https://github.com/ananupam/eda-titanic
An Exploratory Data Analysis project done on Titanic Dataset.
Last synced: 14 Apr 2026
https://github.com/rohanrony19/movie-recommendation-system
This is a python project where using Pandas library we will find correlation and give the best recommendation for movies.
data-analysis deep-learning knn-algorithm numpy pandas python recommendation-system
Last synced: 14 Apr 2026
https://github.com/ledsouza/medphys-bi
Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA
aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml
Last synced: 10 Apr 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/gregoritsch3/ml_eda_classification_diabetes
An EDA and Machine Learning Classification exercise on the Diabetes dataset demonstrating the use of SQLAlchemy data import from an SQL database (PostgreSQL), Pre-processing Pipelines, ANOVA, 9 ScikitLearn ML models, Hyperparamter Tuning for the best performing one, and feature importance.
anova machine-learning matplotlib numpy pandas pipelines scikit-learn seaborn sql sqlalchemy statistics
Last synced: 14 Apr 2026
https://github.com/mehradi-github/ref-jupyter-2510
using python in machine learning
matplotlib numpy pandas python sklearn statistics
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https://github.com/pedasoft-consult/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 04 May 2026
https://github.com/hossein-cod/parking-space-detection
Identifying empty spaces in the parking lot with openCV
cv2 jupyter-notebook numpy opencv pickle python
Last synced: 14 Apr 2026
https://github.com/alexixrugis/perceptronvisualization
Visualization of training and operation of a perceptron written from scratch in numpy
ai machine-learning numpy python
Last synced: 11 Feb 2026
https://github.com/kirtipratihar/python_libraries_for_ds
This repository serves as a comprehensive guide to Python programming for Data Science. It covers essential topics like data manipulation, data visualization, machine learning, and statistical analysis using popular libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn tensorflow
Last synced: 11 Apr 2026
https://github.com/armahdavi/analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1
PhD Technical Paper 1 - Phase 1 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
matplotlib numpy pandas pandas-dataframe pyplot python scipy-stats sklearn
Last synced: 13 Apr 2026
https://github.com/ahmed-maher77/diabetes-prediction-app-using-machine-learning
Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.
ai css data-science gradientboostinclassifier javascript logisticregression machine-learning matplotlib numpy pandas python randomforestclassifier seaborn streamlit supportvectormachine webdevelopment
Last synced: 11 Apr 2026
https://github.com/anish37860/python_party
Python summer party by Interview Master & in partnership with DataCamp
Last synced: 06 May 2026
https://github.com/sralter/potential_talents
Using NLP techniques (word and sentence embedding tools like SBERT and Learning-to-Rank systems like RankNet and LambdaRank) to rank candidates.
lambdarank learning-to-rank lightgbm matplotlib nlp numpy pandas python pytorch ranknet
Last synced: 09 Apr 2026
https://github.com/karthik9273/revolutionizing-gold-rate-forecasting-for-small-businesses-with-machine-learning
The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.
data-science google-colab-notebook jupyter-notebook machine-learning matplotlib numpy pandas-dataframe python seaborn sklearn
Last synced: 06 May 2026
https://github.com/djdhairya/crop-recommendation
Crop Recommendation System is a powerful tool for enhancing agricultural decision-making. By leveraging data-driven insights, it empowers farmers to maximize yield and ensure sustainable practices.
adaboostclassifier bagging-classifier csv decision-trees gaussian html knn-classification logistic-regression machine-learning machine-learning-algorithms matplotlib model numpy pandas random-forest random-forest-classifier scikit-learn seaborn svc
Last synced: 11 Apr 2026
https://github.com/kishanlalchoudhary/te-sem-6
TE SEM 6 Assignments
cpp data-science dsa-cpp matplotlib nltk numpy pandas python salesforce scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/roluochke/learning-ds-ml
Learning DS and ML
keras matplotlib numpy pandas python seaborn sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/georgehanymilad/startups-profit-prediction
Machine Learning Project
anaconda data-science dataanalysis kaggle machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 regression seaborn
Last synced: 11 Apr 2026
https://github.com/armahdavi/qff-evalation_code-data-processing-statistics-plotting
Data pipelines and processing codes, statistical modellings, descriptive statistics, and plot visualizations for QFF evaluation phase of for Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021 Full-length article: https://www.sciencedirect.com/science/article/abs/pii/S0269749120370779
data-science data-visualization histogram matplotlib matplotlib-pyplot numpy pandas python
Last synced: 11 Apr 2026
https://github.com/utkarsh251106/cricket-shot-analyzer
Real-time cricket shot analyzer using Python, OpenCV, and MediaPipe. Processes videos frame-by-frame, overlays pose and biomechanical metrics, and outputs an annotated video with JSON evaluation. Also the output video might have "??" in it which is there cause OpenCV can't display degree's symbol.
artificial-intelligence computer-vision deep-learning machine-learning mediapipe numpy python real-time
Last synced: 05 May 2026
https://github.com/mbarbetti/hello-snakemake
Simple implementation of snakemake to sample and plot data
hello-world matplotlib numpy python snakemake
Last synced: 14 Apr 2026
https://github.com/pardhuu66/college-id-validator
FastAPI-based offline College ID Validator with Docker support
base64 dnn docker easyocr fastapi mobilenetv2 numpy onnx onnxruntime opencv pillow pydantic python tensorflow uvicorn
Last synced: 11 Apr 2026
https://github.com/lilivalgo/ml_time_series
This project uses time series data to predict corn crop yield in Colombia
matplotlib numpy pandas scipy seaborn sklearn
Last synced: 11 Apr 2026
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/simon2k/ieee-cis-fraud-detection
Can you detect fraud from customer transactions?
customer-transactions fraud-detection fraud-relation machine-learning numpy pandas scikit-learn
Last synced: 11 Apr 2026
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
Last synced: 03 May 2026
https://github.com/farhad-here/data-visualization-analysis-dva
This is my data analysis project. Users can use this project to clean and preprocessing the date or data visualization. Individuals can impute or ecnode ther dataset.
altair bokeh data-analysis data-analysis-python io matplotlib numpy pandas plotly python sklearn streamlit
Last synced: 11 Apr 2026
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
Last synced: 24 Feb 2026
https://github.com/sharif-minhaz/rag-system
Ingest and vectorize content upon publication, store embedding, then retrieve and augment user queries with context to generate high-quality responses.
faiss flask mysql2 nodejs numpy rag react transformers
Last synced: 14 Apr 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/icepanorama/internship-visualizations-and-demonstrations
A collection of some of the programs that I've written over the course of my internship.
artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn
Last synced: 14 Apr 2026
https://github.com/paraskevi-kivroglou/rl-pong-agent
A project by Paraskevi Kivroglou as part of exploring deep reinforcement learning applications.
atari atari-games gym-environment gymnasium numpy python3 pytorch q-learning reinforcement-learning reinforcement-learning-agent
Last synced: 11 Apr 2026
https://github.com/mnitin-reddy/collaborative-filtering-based-recommendation-system
This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.
collaborative-filtering numpy pandas popularity-based-recommendation python recommendation-system scikit-learn
Last synced: 11 Apr 2026
https://github.com/shanaxrules/ml-exercise-practice
Notebook for all ML exercises
jupyter machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot numpy pandas scikitlearn-machine-learning tensorflow
Last synced: 09 Apr 2026
https://github.com/soumyapro/wine-quality-prediction
This project is about the prediction of wine quality using machine learning algorithms
boxplot matplotlib numpy pandas random-forest smote
Last synced: 10 Apr 2026
https://github.com/subhadipsinha722133/credit-card-fraud-dection
Web application for detecting fraudulent credit card transactions using machine learning
data-visualization fraud-detection machine-learning matplotlib numpy pandas seborn sklearn streamlit
Last synced: 10 Apr 2026
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
Last synced: 22 Oct 2025
https://github.com/bhuvantenguria/adobe-gensolve
Adobe-Gensolve
cv2 dotenv firebase-admin flask numpy pandas python react svgpathtools svgwrite
Last synced: 23 Jan 2026
https://github.com/tasninanika/australian-credit-approval-analysis-svm
This project uses a Support Vector Machine (SVM) Classifier to predict whether a credit application is approved (1) or denied (0) based on applicant features.
numpy pandas python3 scikit-learn svm-classifier
Last synced: 10 Apr 2026
https://github.com/omarsaad21/rfm-clustering-
A full Data science and deployment project focusing on Data analysis and ML ( create a customer segmentation model to recommend the best merchants for each user as targetted offers)
business-solutions data-science eda numpy pandas plotly python sickit-learn streamlit
Last synced: 11 Apr 2026
https://github.com/crvargasm/moore-penrose-matrix
A small implementation of an algorithm that is capable of computing the Moore-Penrose inverse of any matrix.
numerical-methods numpy python
Last synced: 10 Apr 2026
https://github.com/shakebshamsi/youtube-scraping-using-api
Youtube Scraping
jupyter-notebook numpy pandas python seaborn
Last synced: 10 Apr 2026
https://github.com/solaris0051/simplenn
simple neural network. The comments accompanied with codes are written in English.
anaconda3 colab-notebook conda conda-env conda-packages jupyterlab latex machine-learning markdown matplotlib neural-network numpy object-oriented online-learning python3
Last synced: 12 Apr 2026
https://github.com/mlicamele/neural-network
Project focused on exploring the computations behind neural networks by building one from scratch with only numpy and testing it with the MNIST dataset.
gradient-descent matrix-computations neural-networks numpy python
Last synced: 12 Apr 2026
https://github.com/tsungtsetu122/datamining-cifar10-classification
Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.
matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/hifly81/photox
photo and album organizer for gtk3
gtk3 numpy opencv-python photography pil pillow python
Last synced: 24 Oct 2025
https://github.com/kostadinlambov/bitcoin-and-stock-market-correlation
This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.
bitcoin data-science jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-stats seaborn sp500-data-analysis
Last synced: 09 Apr 2026
https://github.com/asghar-rizvi/youtube-statistics-project
This project analyzes a dataset of global YouTube statistics to uncover insights about YouTube channels, their ranks, and other attributes. The dataset used for this analysis was obtained from Kaggle.
data-analysis data-analysis-python data-science data-science-projects matplotlib numpy pandas pycharm-ide python seaborn
Last synced: 13 Jun 2026
https://github.com/jakubfr4czek/apartment-prices-analysis
This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.
agh agh-wi analysis csv jupyter jupyter-notebook krakow numpy pandas price-analysis price-prediction probability probability-statistics python statistics statistics-learning
Last synced: 04 May 2026
https://github.com/fedesgh/parkinson_volatility_spread_on_cedears
Creating a function that returns a graph with the difference between Parkinson's volatility and regular volatility given a certain bounds
Last synced: 10 Apr 2026
https://github.com/atul-maurya-30/galaxy
Galaxy Classification is a machine learning project focused on classifying galaxies into two subclasses: 'STARFORMING' and 'STARBURST'. This project demonstrates data preprocessing, model training, and evaluation using advanced machine learning techniques and Python libraries.
flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
Last synced: 09 Mar 2026
https://github.com/ahmedabdalkreem/hotel-reservation
Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.
bagging decisiontreeclassifier ensemble extra-trees-classifier logistic-regression matplotlib numpy pandas python3 random-forest sklearn-library svc-model
Last synced: 11 Apr 2026
https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool
A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.
data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter
Last synced: 15 Apr 2026
https://github.com/azaz9026/data_cleaning
Welcome to the Data Cleaning repository! This collection is dedicated to showcasing techniques and methods for cleaning and preparing datasets for analysis.
data-analysis data-engineering data-structures data-visualization eda feature-engineering machine-learning numpy outliers pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/rama1997/lane-line-detection
Uses computer vision to detects lane lines on the road from images/videos using the POV of a driving vehicle
numpy opencv opencv-python python
Last synced: 10 Apr 2026
https://github.com/luliatuccu/weather_analysis
This project highlights a combination of data science techniques and Python programming to explore real-world weather data.
data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns
Last synced: 02 Apr 2026
https://github.com/elon-fask/nlp_num1
Natural Language Processing with Disaster Tweets
ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing
Last synced: 10 Apr 2026
https://github.com/yashaka/learncv
Toolset used in learning Computer Vision at R_D course
Last synced: 14 Apr 2026
https://github.com/abhinav330/911-emergency-calls-analysis
This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.
data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python
Last synced: 09 Jun 2026
https://github.com/hellymodikalpesh/numpy
This repository is designed as a comprehensive resource for learning the NumPy library. It covers nearly all functions and features of NumPy, providing a thorough exploration of its capabilities for numerical computing and data analysis.
Last synced: 28 Jan 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/badranalyst/titanic-survival-prediction-full-data-science-project-classification
This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.
classification data-analysis data-science eda exploratory-data-analysis machine-learning matplo matplotlib-pyplot ml model numpy pandas predictive-modeling python seaborn
Last synced: 06 May 2026
https://github.com/jaweria-b/eda-basketball
The Streamlit app analyzes NBA player stats with user-selected filters, offering data download and intercorrelation heatmap.
matplotlib numpy python streamlit
Last synced: 10 Apr 2026
https://github.com/ggrbill/phd-plot-scripts
My personal plot scripts used to generate graphs for my PhD Thesis
hacktoberfest matplotlib numpy python
Last synced: 18 Apr 2026
https://github.com/anhquoc533/neural-network
A Neural Network framework for building Multi-layer Perceptron model.
artificial-intelligence artificial-neural-networks deep-learning framework machine-learning machine-learning-algorithms neural-network neural-networks numpy python3
Last synced: 26 Oct 2025
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
Last synced: 28 Jan 2026
https://github.com/semihbugrasezer/rockvsmine
Rock vs Mine Prediction with Python | Machine Learning Project
Last synced: 05 May 2026
https://github.com/anubhavkumar31/simple-heart_disease_prediction-using-logisticregression
Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).
logistic-regression machine-learning numpy python sklearn sklearn-linear-model sklearn-metrics
Last synced: 10 Apr 2026
