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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/shreeparab1890/movie-recommender-system
This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization
Last synced: 09 Apr 2026
https://github.com/nisaaragharia/neural-networks-from-scratch
Neural Networks from scratch
artificial-intelligence beginner machine-learning neural-network numpy pandas
Last synced: 07 May 2026
https://github.com/zionc27/computational-art-with-genetic-algorithm
Genetic algorithm to iteratively generate an image resembling an original image
genetic-algorithm numpy photography pillow-library python
Last synced: 17 May 2026
https://github.com/hariprasath-v/mh_google_cloud_bigquery_ltv_prediction_challenge
Build a model that can predict customers' Long Term Value (LTV).
bigquery colab-notebook klib machine-learning matplotlib numpy pandas python python3 seaborn
Last synced: 09 Apr 2026
https://github.com/RedInfinityPro/Laser-Strategy
Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
math numpy pygame random sys time
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https://github.com/thomasonzhou/minitorch
rebuilding pytorch: from autograd to convolutions in CUDA
Last synced: 02 Feb 2026
https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering
This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters
jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning
Last synced: 09 Apr 2026
https://github.com/reddyprasade/bicycle-sharing-system-in-us
A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.
dataanalysis jupyter maplotlib numpy pandas python r
Last synced: 29 Aug 2025
https://github.com/yukti-09/linear-regression
A small code for understanding linear regression.
linear-regression matplotlib mean-squared-error numpy
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https://github.com/estaheri7/beijing-housing-analysis
Analyzes housing data from Beijing city
jupyter-notebook matplotlib-pyplot numpy pandas python3 searborn
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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
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https://github.com/moeeinaali/fop2023-python-project-sut
Fundamental of Python Programming - Fall 2023 - Instructor: Mr. Malekzadeh
data-science fundamentals-of-programming matplotlib numpy pandas python
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https://github.com/Udacity-MachineLearning-Internship/finding_donors
First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python
csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree
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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
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https://github.com/matheussc017/irisclassification_sklearn
Application of Machine Learning technique to classify 3 types of iris flower
data-science machine-learning numpy pandas python
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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
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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
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https://github.com/vmariiechko/python-image-processing
Raster graphics editor
desktop image-processing numpy opencv python
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https://github.com/khadkarajesh/wine-prediction
White and Red Wine classification using logistic regression
airflow airflow-dags classification classification-algorithm data-science dataingestion evidently flask logistic-regression logistic-regression-algorithm machine-learning machine-learning-pipeline mlflow numpy pandas pipeline postgresql python scikit-learn supervised-learning
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https://github.com/mshirazkamran/swarm-intelligence-example
This repo shows the usage of PSO to sovle the problem the putting N warehouses in an MxN grid with various contraints such as army zones, residential areas
example matplotlib numpy optimization-algorithms particle-swarm-optimization pso pso-algorithm python3 swarm-intelligence
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https://github.com/mahnoorsheikh16/credit-card-default-prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
encoding hiplot imblearn json knn-imputer logistic-regression matplotlib numpy pandas pca-analysis plotly scipy seaborn sklearn smote streamlit support-vector-machines timeseries-forecasting visualization xgboost-classifier
Last synced: 06 Apr 2026
https://github.com/redreaper420/reversible-image-censorship-tool
Primitive encryption and decryption scripts for PNG images.
censorship cryptography image image-manipulation numpy pillow png python steganography
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https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app
This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.
bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss
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https://github.com/bytraembedded/Laptop-Price-Prediction-with-Machine-Learning
The Laptop Price Prediction with Machine Learning project provides a system to predict the price of laptops based on various features such as processor type, RAM size, storage capacity, and more/
airflow data data-science data-visualization fastapi heroku-deployment machine-learning-algorithms matplotlib-pyplot numpy pandas python reactjs seaborn
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https://github.com/bhargav-joshi/img-caption-generator
Automatically creating the description or caption of an image using any natural language sentences is a very challenging task. It requires both methods from computer vision to understand the content of the image and a language model from the field of natural language processing to turn the understanding of the image into words in the right order. In addition to that we have discussed how this model can be implemented on web and will be accessible for end user as well.
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https://github.com/vidyasagarmsc/pydataflownote
As I explore Python libraries....
jupyter-notebook numpy python pytorch scikit-learn scipy tensorflow
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https://github.com/vedanty3/heart-disease-prediction
This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)
confusion-matrix correlation-matrices jupyter-notebook knn-classification logistic-regression machine-learning matplotlib numpy pandas python random-forest randomforestclassifier roccurve scikit-learn sklearn zerotomastery
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https://github.com/savitar-hub/image-classification
Notebooks on how image classification can help businesses make better decisions and improve the customer experience.
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https://github.com/khaymanii/wine-quality-prediction-model
This is a model built using Python and Random Forest Classifier which is an ensemble algorithm and also a supervised learning algorithm
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1.Numpy tutorial
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https://github.com/evardnk/dataanalyticsportfolio
Собрание моих проектов по аналитике данных
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This project focuses on analyzing the Netflix dataset to gain insights into the movies and TV shows available on Netflix.
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https://github.com/aisurjyasamantaray/customer-purchase-analysis
This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.
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https://github.com/msadeqsirjani/machine_learning_hands_on
A comprehensive machine learning repository containing different concepts, algorithms and techniques.
cnn computer-vision data-analysis data-science data-visualization deep-learning keras machine-learning matplotlib neural-network nlp numpy open-source pandas python rnn scikit-learn seaborn tensorflow
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https://github.com/apoorva-info/cognitive-load-using-blink-rates
Analyzing blink rates and task performance to measure cognitive load during digital span tasks using a custom Python tool.
matplotlib numpy pandas python
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https://github.com/gourab-sinha/instabot
This project is all about web scraping using Selenium, BeatifulSoup and Python Packages.
beautifulsoup matplotlib numpy pandas python3 selenium-python
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https://github.com/shriram-vibhute/data-analysis
This repository offers a comprehensive collection of data analysis techniques using NumPy Pandas, Matplotlib and Seaborn.
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https://github.com/affan-ch/gesture-talk-ai
GestureTalkAI: Decode hand language with precision. This AI project utilizes cutting-edge computer vision for real-time hand gesture detection, unveiling the unspoken messages conveyed through intuitive movements.
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https://github.com/earth-app/doc2lora
Generate LoRA Adapters from documents
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[from-scratch] feed forward neural network that can recognize handwritten digets
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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
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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
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https://github.com/c0sogi/python-dcm
A high-performance Python package for handling ETAS DCM(Data Conversion Format) files used in engine calibration tools like INCA, MDA, EHANDBOOK, and CANape.
automotive dcm ecu-calibration etas inca numpy pandas python
Last synced: 12 Aug 2025
https://github.com/yeetooq/pivaldi_telegram_bot
An unofficial bot for the Pivaldi restaurant that provides easy access to the menu, order placement, and current promotions. Plus, enjoy entertainment features like games, cryptocurrency rates, jokes, weather updates, and more!
aiocache aiogram aiohttp aiosqlite beautifulsoup4 geopy numpy requests sqlalchemy
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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
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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
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https://github.com/prathameshdhande22/data-visualization-tutorial
Repository Contains all the stuff required for Data Visualization. Numpy Tutorial, Pandas Tutorial, Matplotlib Tutorial, Seaborn Tutorial
data-visualization jupyter-notebook matplolib numpy pandas pandas-dataframe python seaborn tutorial
Last synced: 09 Apr 2026
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: 16 Oct 2025
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
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https://github.com/nelsontanko/face-recogition-system
This is a student face recognition system for attendance taking. Built with Opencv, face_recognition, redis and Flask for the frontend
face-recognition flask numpy opencv python redis
Last synced: 09 Apr 2026
https://github.com/ahmednurabdii/data-analytics-portfolio-superstore
My first portfolio project showcasing data cleaning, analysis, and visualization of Superstore sales data.
data-analysis data-visualization jupyter-notebook matplotlib numpy pandas portfolio-project python sales-analysis scipy seaborn superstore-dataset
Last synced: 07 Apr 2026
https://github.com/lioccoumd/news-sentiment-analysis
This scrapes a variety of news stations websites for article titles and evaluates them using distilBERT pretrained model for sentiment analysis.
beautiful datasets distilbert news nltk numpy python pytorch reques scraping-websites sentiment-analysis transformers
Last synced: 16 Feb 2026
https://github.com/kientech/calories-burnt-prediction-with-machine-learning
The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.
fastapi heroku machine-learning matplotlib-pyplot modeling numpy pandas python reactjs tailwindcss
Last synced: 02 Aug 2025
https://github.com/bessarodrigo/dataviz_sales_retail
Este projeto apresenta um mosaico com o Matplotlib com um retrato do desempenho das vendas de uma empresa de varejo.
matplotlib numpy pandas python python3
Last synced: 09 Apr 2026
https://github.com/yanboishere/Trade.with-SuperTrend.parameter
OKX API to confirm the process of appearance and disappearance of upper or lower limit lines for the super trend parameters in crypto trading pairs in TraderView, and perform multiple buying and selling transactions based on this parameter index.|对于crypto交易对中 TraderView中的超级趋势参数 出现以及消失上限线或下限线前后过程进行确认 从而根据该参数指标的出现 进行多次合约做多&做空 开仓买卖 (使用OKX api)
bitcoin blockchain bot btc crypto cryptocurrency cryptography numpy okx okx-api okx-sdk okx-v5 python talib trade trade-bot tradebot
Last synced: 22 Oct 2025
https://github.com/zazi2002/neuroscience-project-cnn
This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.
cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing
Last synced: 09 May 2026
https://github.com/RYANFRANKLIN237/Data-science-ml
trained ML and DL models to give accurate classifications,predictions and recommendations
artificial-neural-networks convolutional-neural-networks jupyter-notebooks kaggle keras logistic-regression naive-bayes-algorithm numpy pandas python scikitlearn-machine-learning tensorflow
Last synced: 30 Apr 2025
https://github.com/mhmudfzli/exploring-mental-health-data
This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance
catboost lightgbm matplotlib numpy pandas scikit-learn seaborn xgboost
Last synced: 09 Apr 2026
https://github.com/mrtarantoga/mdl-density-histogram
Cython-accelerated MDL histogram density estimation. Implements Kontkanen & Myllymaki's dynamic programming algorithm for optimal variable-width bins, parametric complexity with Ramanujan approximations, and automatic bin count selection. Based on "MDL Histogram Density Estimation" (JMLR 2007).
cython-library mdl numpy pypi-package python3
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https://github.com/athul64/exploratory-data-analysis
To preprocess and analyze the given employee dataset, present the findings graphically, and derive meaningful insights to help better understand the company’s workforce.
colab-notebook data-analysis data-visualization matplotlib numpy pandas python seaborn statistical-analysis
Last synced: 25 Feb 2026
https://github.com/jswong65/machine_learning_nanodegree
Projects of Udacity Machine Learning nanodegree
machine-learning numpy pandas python scikit-learn scipy
Last synced: 09 Apr 2026
https://github.com/skywalkersam/ml-101
Machine Learning 101
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Last synced: 09 Apr 2026
https://github.com/gaurav9364/credit-card-fraud-detection
Credit Card Fraud Detection using Machine Learning – A classification project that detects fraudulent credit card transactions using supervised learning, with data preprocessing, handling class imbalance, and model evaluation (ROC-AUC, Precision, Recall, F1-score).
googlecolab imbalanced-learn matplotlib numpy pandas python scikit-learn seaborn xgboost
Last synced: 08 Apr 2026
https://github.com/garcane/income-prediction-ml
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 08 Apr 2026
https://github.com/sarah-ribeiro/curso-pandas-alura
A comprehensive project comprising numerous exercises developed within an Alura course focused on Pandas.
jupyter-notebook matplotlib numpy pandas python
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https://github.com/vidhi1290/essay-quality-prediction-keystroke-analysis-with-randomforest
Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨
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https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp
Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.
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https://github.com/nemeslaszlo/titanic-logistic-regression
This notebook covers a simple analysis with logistic regression on the popular titanic dataset.
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https://github.com/ahasannn/real-time-expression-detector
A Real Time Expression Detector using Python and Machine Learning
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https://github.com/jai0212/cash-app-bias-busters
A platform developed with Cash App to help ML engineers detect and visualize biases in models using Fairlearn. Features include a collaborative and interactive dashboard (React, Chart.js), a Flask backend, and a secure MySQL database for data storage and analysis.
bias-detection chartjs fairlearn flask machine-learning mysql numpy pandas pytest python react scikit-learn scipy
Last synced: 16 Feb 2026
https://github.com/nolan-lwin/bells-palsy-ml-research
A Machine Learning Model to Grade the Severity of Bell's Palsy
artificial-intelligence dlib healthtech jupyter-notebook machine-learning matplotlib numpy opencv pandas python research scikit-learn scipy
Last synced: 17 Aug 2025
https://github.com/kientech/diabetes-prediction-with-machine-learning
The Diabetes Prediction with Machine Learning project aims to predict the likelihood of an individual developing diabetes based on various health parameters and demographic information.
fastapi machine machine-leaning matplotlib mongodb numpy pandas python reactjs seaborn
Last synced: 20 Jun 2025
https://github.com/madhuresh2011/amazon-sales-report-analysis-using-python
This project focuses on analyzing Amazon sales data using Python to uncover insights into sales performance, customer behavior, and product trends
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Last synced: 17 Apr 2026
https://github.com/aaa1928/iris-ml-classifier
PyTorch model that classifies Iris species based on characteristics about the length and width of sepals and petals.
deep-learning iris-classification iris-dataset machine-learning neural-network numpy pandas python pytorch scikit-learn
Last synced: 05 Apr 2026
https://github.com/raduldev/gromacs
Molecular Dynamics Simulation using GROMACS in Jupyter notebook
bash gromacs matplotlib molecular-dynamics-simulation numpy pandas python3 shell
Last synced: 09 Apr 2026
https://github.com/aryehky/ml-theory-to-implementation
📚🧠 Explores core machine learning concepts through interactive, hands-on Jupyter notebooks. From building a neural network from scratch to applying dimensionality reduction and classification with real-world libraries, this project bridges the gap between theory and practical application.
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My Full Backup Packagaes & Files Guide for Python 👷♂️
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https://github.com/Tritonix711/FractureAI
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
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https://github.com/priyanshubiswas-tech/customer-churn-analysis-eda-
This project analyzes customer churn in a telecom company using Python, Pandas, SQL, and data visualization. It identifies key factors like contract type, payment method, and tenure to provide insights for improving retention. The skills gained are applicable in customer retention, user behavior analysis, fraud detection, and HR analytics.
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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.
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https://github.com/kientech/crop-recommendation-with-machine-learning
The Crop Recommendation with Machine Learning project is designed to assist farmers and agricultural professionals in selecting the most suitable crops for their specific environmental conditions.
fastapi machine-learning modeling numpy pandas python reactjs sklean
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https://github.com/shriram-vibhute/realestateforecast-price-prediction-system
This project aims to predict Prices of House. It involves several key stages, including data preprocessing, feature engineering, model selection, and evaluation. The goal is to develop a model that provides accurate and reliable price predictions based on the given features.
exploratory-data-analysis feature-engineering feature-transformation hyperparameter-tuning machine-learning matplotlib numpy pandas python random-forest sklearn
Last synced: 07 Apr 2025
https://github.com/lukeroantree4815162342/mastersproject
Code for "Computational Methods For Ultrafast Quantum Physics"
high-performance high-performance-computing mathematics numpy physics physics-simulation python python3 quantum-mechanics scipy sparse-matrix
Last synced: 10 Apr 2026
https://github.com/georgehanymilad/heart-disease-detection
Machine Learning Project
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Last synced: 07 Apr 2026
https://github.com/f1scher7/ai-tutorial
Learning neural networks by building custom implementations for various problems
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qiskit circuits on IBM Quantum
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A Python-based matrix calculator for performing operations like addition, multiplication, inverse, determinant, eigenvalues, diagonalization, and matrix functions using NumPy, SymPy, and SciPy.
Last synced: 11 Aug 2025
https://github.com/SerratoTech/Python3-for-Finance
Investment fundamentals & data analytics exercises
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https://github.com/rhazra-003/flight_delay_predictor
A ML model to predict Flight Delays
azure-storage jupyter-notebook matplotlib numpy pandas scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/mramshaw/ml_with_missing_data
How to handle missing or incomplete data
incomplete-data machine-learning matplotlib ml numpy pandas python python3 scikit-learn seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/ewertondrigues02/dados-do-covid-19
Análise exploratória dos dados do COVID-19 / de 22 de Janeiro de 2020 a 27 de Julho de 2020 em 188 países análise feita com as ferramentas como: jupyter Notebook, Google Colab, Excel, Power BI e bibliotecas: Pandas, Matplotlib, Numpy.
analise-exploratoria colab covid-19 covid19 dataframe folium folium-maps folium-python google-colab jupyter jupyter-notebook numpy pandas python3
Last synced: 02 May 2026
https://github.com/nirmalyabag20/book-recommended-system
A system built using content-based and collaborative filtering algorithms to suggest books. It displays the top 50 books and provides recommendations based on a given book name. Includes functionality to view detailed information about a recommended book, along with related books.
flask html jupyter-notebook machine-learning matplotlib numpy pandas pycharm python seaborn
Last synced: 13 Apr 2026
https://github.com/jayanthpotluri5513/ml-project-on-iris-dataset-
In this machine learning project, we explore and analyze the famous Iris dataset. The goal of the project is to apply various machine learning techniques to classify the Iris flowers based on their measured features.
machine-learning matplotlib numpy pandas python streamlit
Last synced: 08 Apr 2026
https://github.com/csirmaz/hypergeometry
Geometric tools for an arbitrary number of dimensions
4d cgi geometry numpy python raytracing
Last synced: 17 May 2026
https://github.com/florianwoelki/mnist_fashion_cnn
This is a classification problem based on the mnist fashion dataset. I've used a CNN to classify the images.
classifier cnn fashion keras mnist numpy pandas tensorflow
Last synced: 08 Apr 2026
https://github.com/theanujsinha01/rainfall-prediction-using-machine-learning
This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.
classification data-analysis eda machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn supervised-learning
Last synced: 11 Apr 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/georgiivoyakin/mirea-big-data
Python Big Data programming tasks for institute
apriori-algorithm apriori-algorithm-python fpgrowth jupyter-notebook numpy pandas plotly python python3 scipy sklearn
Last synced: 10 Apr 2026