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/islam-hady9/heart-attack-analysis-prediction-using-ann
Heart Attack Analysis & Prediction using Artificial Neural Network
artificial-neural-networks data-analysis deep-learning eda machine-learning matplotlib numpy pandas python tensorflow
Last synced: 04 Apr 2026
https://github.com/lbirkert/digit-recognition
[from-scratch] feed forward neural network that can recognize handwritten digets
feedforward-neural-network machine-learning numpy python
Last synced: 19 May 2026
https://github.com/amritakaur-08/smart_attendance_system
The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.
asgiref django mysql numpy opencv pillow-library python sqlparse
Last synced: 08 Apr 2026
https://github.com/machinelearningprodigy/covid-19-detection-system
It is a Flask-based web application that predicts the likelihood of COVID-19 infection based on user symptoms. The app utilizes a K-Nearest Neighbors (KNN) model trained on relevant medical features to assess COVID-19 risk.
algorithms feature-engineering flask machine-learning numpy pandas scikit-learn
Last synced: 20 Apr 2026
https://github.com/ayisha-mohammed/freecodecamp_data_analysis_projects
freeCodeCamp-Data_Analysis projects using python
matplotlib-pyplot numpy python scikit-learn seaborn-plots
Last synced: 07 May 2026
https://github.com/vibhuti03/movie-recommendation-system
anaconda3 jupyter jupyter-notebook matplotlib ml numpy pandas python python-3-7-2
Last synced: 07 Apr 2026
https://github.com/pavankethavath/dominos---predictive-purchase-order-system
This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurate demand forecasts, optimized inventory, and efficient purchase planning, reducing waste, preventing stockouts, and enhancing supply chain efficiency.
arima deep-learning eda exploratory-data-analysis forecasting lstm machine-learning mape matplotlib minmaxscaling numpy pandas prediction python sarimax seaborn seasonality tensorflow time-series
Last synced: 08 Apr 2026
https://github.com/geetisha/web-scraping-and-sentiment-analysis
Web Scraping and Sentiment Analysis
jupyter-notebook matplotlib nltk numpy pandas python seaborn selenium vader-sentiment-analysis
Last synced: 08 Apr 2026
https://github.com/adinack/chemistry-equation-balancer
A small python tool that can solve n-dimensional balancing equations.
chemistry matrices numpy sympy
Last synced: 16 May 2026
https://github.com/nehalmr/qiksit-fall-fest-hackathon-2024
The Qiskit Hackathon is a unique opportunity for students to dive into the fascinating world of quantum computing. Participants will collaborate in teams to tackle a series of challenging problems that test their creativity, problem-solving skills, and understanding of quantum algorithms. This hackathon aims to inspire innovation in QC.
cpython hackathon ibm ibm-qiskit ibm-quantum-challenge matplotlib numpy python python3 qbits qiskit qiskit-tutorial quantum-algorithms quantum-computing quantumcircuits quantumregister
Last synced: 11 May 2026
https://github.com/sidsurakanti/mnist-classification
realtime handwritten digit recognition & mnist digit classification from scratch w/ only maths and numpy
classification math ml mnist numpy
Last synced: 14 May 2026
https://github.com/steventete/integral-app
IntegralApp is a Python-based GUI application designed to simplify the calculation of definite integrals using numerical methods.
desktop-app numerical-methods numpy pyqt5 python
Last synced: 18 May 2026
https://github.com/emperoryp7/covid-simulator
Application simulating the spread of COVID-19
covid-19 numpy pandemic-simulator python3 simulator
Last synced: 18 May 2026
https://github.com/abdul-rafay19/cnnect-classifier
A real-time image classification app built with PyTorch and deployed using Streamlit. CNNect-Classifier uses a custom-trained CNN on the CIFAR-10 dataset to predict image classes with confidence scores. Designed to demonstrate end-to-end deep learning deployment — from training to user-facing web app.
ai artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks cifar-10 cifar10 cnn cnn-classification cnn-model cnnect deep-learning machine-learning neural-network neural-networks numpy python pytorch pytorch-cnn streamlit streamlit-webapp
Last synced: 11 Apr 2026
https://github.com/yashuv/numpy-for-data-science
A well structured practical deep dive into functional programming in NumPy.
Last synced: 28 Oct 2025
https://github.com/simranjeet97/datascience_crashcourse
Data Science Crash Course that Explained about Each and Every Process in Data Science.
dash data data-science data-science-crash-course data-structures data-visualization datascience-machinelearning datasciencecoursera datascienceproject instagram matplotlib numpy pandas telegram tutorials youtube
Last synced: 08 Apr 2026
https://github.com/sirinemaaroufi/arabic-sentiment-analysis
This project focuses on developing a sentiment analysis model for Arabic text, leveraging hybrid transformer-based models (AraBERT) and LSTM approaches.
arabert arabic-nlp bert-model feature-extraction lstm machine-learning nlp numpy pandas pretrained-models python pytorch sentiment-analysis transformers
Last synced: 18 Apr 2026
https://github.com/szilagyipeter99/imageprocessing
This repository contains the examples discussed in the Image processing practices.
classification image-processing machine-learning matplotlib numpy pillow python segmentation
Last synced: 18 May 2026
https://github.com/mayankmittal29/stockvision
Stock price predictor LSTM Sequential Model with Dropout Regularization by which we can analyse any stock tickers, do its fundamental analysis using fundamental ratios and charts visualisations of 100MA and 200MA and can also predict stock price for next 10 days with its trend. Can also view candle stick charts for stock trading and latest news.
keras lstm-neural-networks matplotlib-pyplot mplfinance numpy pandas python scikit-learn streamlit yfinance-api
Last synced: 07 Apr 2026
https://github.com/cypher-adi/loan-predictor
A loan approval prediction system.
flask ipynb-jupyter-notebook machine-learning numpy
Last synced: 05 Mar 2026
https://github.com/zacheddy/imageclassifier
A convolutional neural network from scratch to classify images (demo available)
image-classifier machine-learning neural-network numpy
Last synced: 19 May 2026
https://github.com/akashshnkr/multi-disease-prediction
Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.
logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm
Last synced: 02 Jan 2026
https://github.com/awrsha/principal-component-analysis
Dimension reduction in Python
image-processing matplotlib numpy pillow python
Last synced: 29 Jun 2026
https://github.com/wkrzywiec/polish-crops
Machine learning project to find out if price of a wheat in Poland depends on a weather.
decision-tree-regression eurostat imgw jupyter-notebook linear-regression machine-learning matplotlib-pyplot numpy pandas pipenv poland polynomial-regression python random-tree regression-models scikit-learn support-vector-regression
Last synced: 11 Apr 2026
https://github.com/aryansk/mnist-deep-learning-exploration
This repository contains implementation of various deep learning approaches for the MNIST handwritten digit classification task, using both scikit-learn and Keras frameworks.
keras machine-learning machine-learning-algorithms mnist-classification numpy python scikit-learn tensorflow
Last synced: 08 Apr 2026
https://github.com/nicolau-369/jupyter
Treinamento Para Análise de Dados.
big-data jupyter jupyter-notebook matplotlib numpy pandas python python3
Last synced: 19 Mar 2025
https://github.com/buathiertom/pictures-stacking
SAE de développement d'une interface d'empilement d'image
astropy mathplotlib numpy pyplot pyqt6 python-pyqt6
Last synced: 29 Mar 2025
https://github.com/alicbm/learnlytics-code
Repositorio oficial de LearnLytics, una plataforma de tutoriales sobre análisis de datos, ciencia de datos, programación y economía. Aquí encontrarás los códigos y bases de datos utilizados en nuestros tutoriales, junto con documentación detallada para su implementación. 🚀
analisis-de-datos automation economia estadistica machin matplotlib mysql numpy pandas programming python r selenium webscraping
Last synced: 10 Apr 2026
https://github.com/adolbyb/data-science-python
An Introduction to Data Science and Data Visualization with the FAU Data Science and Machine Learning Club
data-analysis data-science data-visualization jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/roma-glushko/numpy-katas
🧮 Exercises to sharp scientific computations with Numpy
Last synced: 18 May 2026
https://github.com/shoaib-programmer/pychemicals
Python library designed for chemical calculations like pH, and titrations. It also includes other features like interactive graph plotting.
chemicals matplotlib numpy pyplot python3 titration titration-curve
Last synced: 19 Mar 2025
https://github.com/supriya811106/healthcare-recommedation-system
A Flask-based web app that predicts diseases based on symptoms and recommends specialized doctors. It uses machine learning for accurate health predictions and location-based doctor searches.
css flask-application healthcare-application html javascript machine-learning numpy pandas recommendation-system scikit-learn
Last synced: 04 Mar 2026
https://github.com/ndohvich/time_series
time series analyse with python language
data-science data-visualization numpy pandas python time-series
Last synced: 18 Apr 2026
https://github.com/algab/recommedation-content-based
Application of film recommendations from the IMDB database, using as a strategy the content-based recommendation
Last synced: 12 Apr 2026
https://github.com/epsoft/image-augmentation
Image Augmentation
conv2d database datase dense image-augmentation matplotlib numpy os pyplot sequential tensorflow
Last synced: 06 Apr 2026
https://github.com/santoshn86/image-classification
This is an end-to-end project wehre I have used my friends images dataset for Image classification using logistic regreesion. It's applications may be used in Security and Surveillance, Criminal's classification & detection .
data-science flask-server html-css-javascript jupyter-notebook machine-learning matplotlib-pyplot numpy opencv pandas python sklearn-metrics
Last synced: 11 Apr 2026
https://github.com/ksatrajit0/heart-disease-prediction-ml
Predicts the risk of heart attack in a patient using their medical record
heart-disease-prediction machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 19 Apr 2026
https://github.com/vicperal/ai-genai_projects
Python projects about LLM and ML use cases. I am using modules such as Pandas, Numpy, Plotly, scikit-learn, Transformers, Flask, JSON, etc. to analyze data, predict, generate insights and create text from models such as LLMs, linear regression, assembly methods, etc. Server- Front-End using Flask
assembly clinical-trials flask json linear-regression llm ml numpy pandas plotly price-prediction python rag random-forest scikit-learn sentimental-analysis sql text-summarization tokens-counter transformers
Last synced: 02 Apr 2026
https://github.com/raghul-m/data-analysis-with-jupyternotebook-python
This repository consists of notebooks where I learned the basics of getting started with data analysis using Python libraries
beautifulsoup4 data-analysis-python eda jupyter-notebook matplotlib-python numpy pandas-python regular-expression seaborn-python webscraping
Last synced: 19 May 2026
https://github.com/jonad/dog_detection_app
Identify dog breeds using Convolutional Neural Network.
convolutional-neural-networks keras neural-network numpy opencv-python pandas resnet-50 scikitlearn-machine-learning transfer-learning vgg19
Last synced: 03 May 2026
https://github.com/tillahoffmann/idxhound
🐶 Track indices across one or more numpy selections.
data numpy scientific-computing
Last synced: 14 May 2026
https://github.com/olutosinbanjo/direction_field
Plotting a Direction Field with Python (Intel® DevMesh Project)
cloud devcloud dpctl dppy heterogeneous-computing high-performance-computing intel intel-xpu numba numpy python3
Last synced: 04 Apr 2025
https://github.com/swaathi/cpt-recommendation
Collaborative Filtering using User-Item and Item-Item Models
collaborative-filtering numpy recommendation-system scikit-learn
Last synced: 08 May 2026
https://github.com/mehraaaaa24/stockpriceprediction
A real-time web app that predicts stock prices using an LSTM model, visualizes data with moving averages, and allows user input for stock symbols.
jupyter-notebook keras lstm-neural-networks matplotlib numpy pandas python streamlit tensorflow yfinance
Last synced: 15 Feb 2026
https://github.com/pjessesco/print2d
Replacement of `print()` for printing 2d array with readability including Torch and Numpy.
formatted-text numpy print python3 readability torch
Last synced: 07 Jan 2026
https://github.com/mrarvind90/fcc-mean-var-std-calculator
A Python program to compute the mean, variance, standard deviation, maximum, minimum, and sum of a given list, both flattened and along specified axes using Numpy.
black freecodecamp freecodecamp-challenge freecodecamp-project numpy python3
Last synced: 19 May 2026
https://github.com/geetisha/advanced-eda-and-text-mining
Advanced EDA and Text Mining
jupyter-notebook matplotlib nltk numpy pandas python spacy textblob wordcloud
Last synced: 08 Apr 2026
https://github.com/haloapping/ml-workflow
Template alur kerja machine learning.
mahine-learning numpy pandas python3 scikit-learn
Last synced: 11 Apr 2026
https://github.com/karan-malik/fakenewsdetection
Using Machine Learning and NLP to segregate the unreliable and reliable news articles
artificial-intelligence fake-news fakenewsdetection machine-learning machine-learning-algorithms natural-language-processing news nlp nlp-machine-learning numpy python python3 scikit-learn scikitlearn-machine-learning
Last synced: 04 May 2026
https://github.com/carlolepelaars/q4p
Quantum Computing for (Python) Programmers
numpy python quantum quantum-computing
Last synced: 11 Apr 2025
https://github.com/shriram-vibhute/digit_classification
This project demonstrates various machine learning techniques for classifying handwritten digits from the MNIST dataset. It covers data preprocessing, model training, evaluation, and advanced classification strategies.
classification data-analysis data-visualization machine-learning matplotlib numpy pandas sk-learn
Last synced: 28 Oct 2025
https://github.com/gandhasiri-rahul-mohan/association-rules-2-my-movies
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-learning
Last synced: 11 Apr 2026
https://github.com/biantris/graph-python
Graph sin vs cos using matplotlib and numpy
matplotlib numpy python python3
Last synced: 21 May 2026
https://github.com/odnil/flowmodel
FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.
ai ai-model ai-models diffusion flow-model flowmodel framework inverse-problems machine-learning numpy plugin-architecture python torch torchvision
Last synced: 20 Mar 2025
https://github.com/ashkarin/ndpatch
Package to extract arbitrary regions from an N-dimensional numpy array assuming it mirrored infinitely.
array data-structures deep-neural-networks image-processing numpy patches region-of-interest
Last synced: 19 May 2026
https://github.com/rakibhhridoy/easywaydiveinto-datascience
Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.
algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow
Last synced: 06 Apr 2026
https://github.com/franklingu/ml_foundations
Machine Learning Foundations from University of Washington, rewrite in numpy, pandas, scipy and sklearn
coursera jupyter-notebook machine-learning numpy pandas scipy sklearn
Last synced: 07 Apr 2026
https://github.com/dmarks84/ind_project_california-housing-data--kaggle
Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.
cross-validation data-modeling data-reporting data-visualization eda folium grid-search matplotlib model-evaluation numpy pandas pca python seaborn sklearn statistics supervised-ml unsupervised-ml
Last synced: 08 Apr 2026
https://github.com/isaacef/independent-motion-detector
Detect independently moving objects in a scene captured by a single camera.
Last synced: 09 May 2026
https://github.com/xylambda/toydiff
Yet another tensor automatic differentiation framework
autodiff autodifferentiation backpropagation computational-graphs gradient numpy python tensor
Last synced: 30 Jun 2026
https://github.com/salma-mamdoh/python
My journey in Learning Python
database hakerrank-solutions jupyter-notebook kaggle matplotlib numpy oops-in-python pandas problem-solving python seaborn sqlite
Last synced: 02 Apr 2026
https://github.com/bl0nder/regressify
A multi-task neural network coded from scratch that performs simultaneous regression and classification.
classification deep-learning multitask-learning neural-networks numpy regression
Last synced: 15 May 2026
https://github.com/gallo13/neuralnetworks-deeplearning-image-classification-with-cnn
Explore the implementation of CNN with a color image dataset (Project 1)
cnn convolutional-neural-networks gpu-tensorflow jupyter-notebook keras keras-tensorflow numpy python scikit-learn seaborn tensorflow tensorflow2
Last synced: 07 Apr 2026
https://github.com/aarryasutar/logistic_regression_on_age_prediction
This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.
accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization
Last synced: 20 Jan 2026
https://github.com/drill-n-bass/data-analysis-projects
Projects related to my Data Analyst path.
analysis data-analysis data-visualization matplotlib matplotlib-pyplot mysql mysql-database numpy pandas pandas-dataframe pandas-library pandas-python python python3 seaborn seaborn-plots static-analysis statistics
Last synced: 07 Apr 2026
https://github.com/burhanahmed1/data-analysis-with-python
Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.
data-analysis data-aquisition data-insights data-science data-wrangling dataanalytics datascience-machinelearning eda exploratory-data-analysis machine-learning-models matlpotlib numpy pandas practice-programming prediction-model python scikit-learn scikitlearn-machine-learning seaborn
Last synced: 24 Feb 2025
https://github.com/dkealvaro/mnist
Achieved 75% accuracy in the MNIST dataset using a simple cosine similarity approach under 50 lines of code, with no training
cosine-similarity machine-learning mnist numpy
Last synced: 18 May 2026
https://github.com/javierkaiser9/rgbd-dual_input_machine_learning_model
This Demo presents a machine learning-based steering module for sidewalk navigation . Using a dual-input EfficientNetV2 model, it processes RGB-D data from an Intel RealSense D415 to classify sidewalk scenarios and generate real-time steering commands. Optimized with OpenVINO
efficientnet efficientnetv2 machine-learning numpy opencv openvino python3 realsense-camera tensorflow
Last synced: 31 Dec 2025
https://github.com/nathanielsimard/numpy-mnist-classifier
Feed forward neural network using Numpy for MNIST classification.
deep-learning machine-learning mnist mnist-classification mnist-classifier numpy
Last synced: 29 Apr 2026
https://github.com/ksalekk/ecg-monitor
ecg matplotlib numpy python scipy signal-processing
Last synced: 03 Feb 2026
https://github.com/reusjimenez/data-analysis-labs
Casos completos y ejercicios prácticos de análisis de datos. 📊
data-analysis data-visualization jupyter-notebook machine-learning matplotib numpy panel python sklearn
Last synced: 04 Apr 2025
https://github.com/amir78729/signals-and-systems
The Implementation section of the "Signals and Systems" course
convolution fft fourier-transform numpy python scipy signals signals-and-systems
Last synced: 06 Apr 2026
https://github.com/islamshahil/machinelearning
A Fun Project - Using LinearRegression, Predicting the Value.
hacktoberfest linearregression machine-learning numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/msmrexe/numpy-neural-network
A scratch-built NumPy implementation of a Fully Connected Neural Network, with a sequential model API, a variety of layers (Linear, ReLU, BatchNorm), loss functions (MSE, SoftmaxCrossEntropy), and a robust training `Solver` to create and train multi-layer perceptrons for both classification and regression.
backpropagation batch-normalization course-project deep-learning fully-connected-neural-network neural-networks nn-from-scratch numpy python university-project
Last synced: 18 May 2026
https://github.com/takana671/photoeditor
Python image processing tool
canvas composite dialog-box drag images-dragged numpy opencv photoeditor pillow pixel tkdnd tkinter tkinter-canvas tkinter-python tkinterdnd tkinterdnd2
Last synced: 26 Mar 2025
https://github.com/kernferm/presfutimpactsim
This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.
economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model
Last synced: 07 Jan 2026
https://github.com/hit07/data_science
Data [ Exploration, Cleaning, Manipulation, Visualisation ]
data-analysis data-cleaning data-exploration data-manipulation data-visualization eda jupyter-notebook matplotlib numpy pandas-dataframe scipy
Last synced: 27 Mar 2025
https://github.com/prashver/salary-prediction-on-scraped-data
This tool predicts data science salaries by scraping Glassdoor job descriptions. Features quantify company valuation of key skills. Regression models include Multiple Linear Regression, Lasso Regression, and Random Forest. Random Forest outperformed others. Technologies/libraries used: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
data-scraping machine-learning-algorithms matplotlib numpy pandas regression-models salary-estimator seaborn selenium selenium-webdriver
Last synced: 06 Apr 2026
https://github.com/md-emon-hasan/numpy-pandas-matplotlib-seaborn
A collection of tutorials and examples showcasing the usage of Numpy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.
data-science data-visualization matplotlib numpy pandas python seaborn
Last synced: 06 Apr 2026
https://github.com/ki3mono/naive_bayes_classifier
This project implements Naive Bayes Classifiers for two data types: Multinomial Naive Bayes Classifier and Gaussian Naive Bayes Classifier. Developed as part of the Probability Theory and Statistics course in the second year of Computer Science at AGH University of Krakow.
iris-dataset mushroom-dataset naive-bayes-classifier numpy python scikit-learn
Last synced: 06 May 2026
https://github.com/inoles/resumeinsight
AI-powered resume screening tool
numpy pandas pandas-python pdfminersix python resume resume-screening spacy spacy-nlp
Last synced: 05 May 2026
https://github.com/oleksiilatypov/face_app_edit
DRU style gan project
cnn gan matplotlib-pyplot numpy pytorch-tutorial
Last synced: 19 May 2026
https://github.com/wangwilly/osu-cse-5526
Some implementation of neural networks
bash linear-programming linear-regression neural-networks non-linear-optimization numpy poetry-python python rbf rbf-network svm
Last synced: 09 May 2026
https://github.com/witch-world/iris-flower-classification-decision-tree-classifier
ai algorithms artificial-intelligence decision-tree decision-tree-classifier machine-learning machine-learning-algorithms machinelearning-python matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-python python python3 scikit-learn
Last synced: 06 Apr 2026
https://github.com/f1scher7/risk-master
RiskMaster is an intelligent platform for individual investors to assess cryptocurrency market risks. It combines historical trend analysis and predictive neural networks - LSTM
custom-implementation dense lstm-neural-networks numpy python streamlit-webapp
Last synced: 18 May 2026
https://github.com/rayyan9477/data-driven-house-price-prediction-and-property-recommendation-app
The app leverages algorithms to accurately predict house prices and recommend similar properties based on a saved dataset through content-based filtering. It is tailored for homebuyers seeking their dream house and real estate investors looking for profitable opportunities, providing powerful insights and data-driven decision-making support.
data-science eda html machine-learning numpy pandas python scikit-learn
Last synced: 06 Apr 2026
https://github.com/vinicius999/eda-basketball-streamlit
Simple web application for viewing, filtering and analyzing Basketball data using Stremlit.
numpy pandas python streamlit webapp webscraping
Last synced: 07 Apr 2026
https://github.com/renan-siqueira/face-recognition-research
This project pertains to video analysis, face recognition, and image clustering.
data-science deep-learning dlib docker docker-image face-recognition machine-learning neural-network neural-networks numpy opencv opencv-python pillow python scikit-learn scipy
Last synced: 13 Apr 2026
https://github.com/saif-gitreps/car-price-prediction-model
ML model that predicts car price based on different car features. (in dev..)
data-preprocessing data-visualization matplotlib numpy pandas python seaborn
Last synced: 01 Apr 2025
https://github.com/gokulgowthams/clickstream-customer-conversion
Analyzes clickstream data from an e-commerce platform to predict customer conversions, estimate potential revenue, and segment users for personalized marketing strategies. By leveraging machine learning techniques, the project enhances decision-making for businesses seeking to optimize user engagement and sales.
data-preprocessing feature-engineering machine-learning matplotlib model-deployment numpy pandas pipeline python scikit-learn seaborn streamlit-web-application tensorflow xgboost
Last synced: 07 Apr 2026
https://github.com/thomasonzhou/minitorch
rebuilding pytorch: from autograd to convolutions in CUDA
Last synced: 02 Feb 2026
https://github.com/raghavendranhp/waiter_tip_prediction
The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns
eda numpy pandas plotly-express plotly-graph-objects python sklearn
Last synced: 06 Apr 2026
https://github.com/anish202020/big-data-analysis-mini-project
The primary purpose of this code is to predict wind speed using an LSTM model. The model is trained on historical wind speed data to forecast future values.
keras matplotlib-pyplot numpy pandas sklearn
Last synced: 12 Apr 2026
https://github.com/santiagoenriquega/custom_ensemble_learning
This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.
numpy python python3 random-forest random-forest-classifier random-forest-regressor
Last synced: 15 May 2026
https://github.com/xaxtric7/learn-numpy
🧮 Welcome to my NumPy Practice repository! This repo contains my hands-on learning, notes, and code experiments as I dive into the fundamentals and advanced features of NumPy – a powerful library for numerical computing with Python.
Last synced: 15 May 2026