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/bkellmayer6/pybelikov
Efficient high-precision computation of fully normalized associated Legendre functions (fnALFs) using the Belikov recurrence algorithm
fully-normalized-associated-legendre-functions geodesy gravity-field legendre-functions mathematics numba numpy python scientific-computing spherical-harmonics
Last synced: 14 Jan 2026
https://github.com/lupin3000/augmentedreality
Introduction into augmented reality (AR) with Python OpenCV ArUco markers.
aruco aruco-marker camera-calibration marker-detection numpy opencv pose-estimation python
Last synced: 13 Apr 2026
https://github.com/parthshah02/customer_churn_dashboard
This repository features a comprehensive project showcasing data analysis and interactive dashboard using Python
data-analysis matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/lingesh81051/similar-template-document-matching-and-fraud-detection
An automated system for a health insurance company to streamline document processing, including template matching and fraud detection, resulting in reduction of processing time.
numpy opencv opencv-python pillow pymupdf pytesseract pytesseract-ocr python tkinter
Last synced: 13 Apr 2026
https://github.com/subratamondal1/heart-attack-prediction
Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.
data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn
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https://github.com/suap-dev/python-essentials
a repository intended for people who want to know some python basics
lambda-functions numba numpy oop pandas teaching
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https://github.com/hotequil/computer-vision
Study about computer vision.
jupyter-notebook matplotlib numpy python scikit-learn
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https://github.com/jersonrn/termviewer3d
Interactive terminal environment that allows users to explore 3D models in real-time.
3d ascii cupy gpu linear-algebra numpy python
Last synced: 19 May 2026
https://github.com/adithaker/basic_nlp
🖨 Basic Data Viz; Sentiment Analysis and Cosine Similarity for starting NLP
cosine-similarity datavisualization jupyter-notebook matplotlib-pyplot nlp numpy pandas python sentiment-analysis sklearn textsimilarity wordembeddings
Last synced: 15 Apr 2026
https://github.com/theblueberrycompendium/keras-movie-classification
This is an basic application that uses Keras
ai keras-tensorflow numpy python3 simple-project
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https://github.com/yash-3-bit/pubg-game-prediction
catboost-model data-visualization feature-engineering numpy pandas
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https://github.com/18mahi/digital_cave
An intermediate-level deep learning project that compares Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) on the MNIST handwritten digits dataset. This project demonstrates data augmentation, learning rate scheduling, and visual comparison of model performance
cnn confusion-matrix data-augmentation data-science deep-learning evaluation-metrics jupyter-notebook keras learning-rate-scheduler machine-learning matplotlib mlp numpy python3 scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/pranavsp108/time-series-forcasting
A time-series forecasting project to predict hourly energy consumption using Python, Pandas, and an XGBoost regression model.
data-analysis data-science energy-consumption forecasting matplotlib numpy pandas python scikit-learn sustainability time-series xgboost
Last synced: 10 Apr 2026
https://github.com/ahmadbuilds/fake-news-classifier
Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.
fastapi logistic-regression matplotlib n-grams nextjs nltk numpy pandas python3 random-forest-classifier react scikit-learn seaborn supervised-learning tf-idf typescript xgboost-classifier
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https://github.com/disney35/stock-prices-dashboard
A dashboard to analyze, predict, and visualize stock prices using Python & LSTM
ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance
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https://github.com/sudharshan-bathini/chat-bot-using-cornell-movie-data-set
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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https://github.com/christabelsakyi/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-pyplot numpy python seaborn sklearn
Last synced: 08 May 2026
https://github.com/umer-farooq-cs/california-housing-regression
Linear Regression experiments on the California Housing dataset across five phases, using NumPy and scikit-learn only (no pandas). Includes EDA, polynomial features, SGD with scaling, residuals, 5-fold CV, and an LNCS-style report with figures.
california-housing cross-validation deep-learning-for-perception linear-regression numpy polynomial-features reproducible-research residual-analysis sgd sklearn
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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/ricardorobledo/malicious_server_hack_detection
Predictive model to detect malicious hacking patterns in banking servers. Utilizes advanced Machine Learning techniques such as SMOTE, Gradient Boosting, and probability calibration to predict attacks befor
anaconda cibersecurity imbalanced-data imbalanced-learning imblearn kaggle matplotlib numpy pandas pandas-library python3 sklearn
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https://github.com/alex-s2222/mem_chat_bot
телеграмм бот для создания gif из текста введённого пользователем
cv2 google-api moviepy numpy python python-telegram-bot requests
Last synced: 08 Oct 2025
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/davityak03/object-detection-in-images-using-yolo
This project demonstrates object detection using the YOLO (You Only Look Once) model, providing a solution for detecting and labeling multiple objects within images or video streams. This implementation covers image preprocessing, model inference, and visualization of detected objects.
computer-vision matplotlib-pyplot numpy object-detection opencv-python pandas python yolo
Last synced: 18 Jan 2026
https://github.com/piragashparam36/image-classification
classification numpy pickle sklearn supervised-learning svm
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https://github.com/harshavardh8n/machine-learning-projects
Machine Learning Projects: A collection of machine learning projects developed as part of the curriculum, utilizing libraries such as NumPy, Pandas, Seaborn, and Matplotlib. These projects demonstrate various algorithms, including Apriori and Decision Trees, showcasing practical applications and data analysis techniques.
apriori-algorithm decision-trees jupyter-notebook machine-learning numpy pandas python
Last synced: 18 Jan 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
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https://github.com/amish5ingh/cricket-data-analytics-ipl
Data analysis and visualization of IPL 2022 matches using Python, Pandas, Matplotlib, and Seaborn. Includes insights on match outcomes, player performances, toss trends, and venue stats with 12+ charts.
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https://github.com/netbr3ak/planetary-system-simulation
Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.
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https://github.com/lorenzorottigni/dl-houses
Deep Learning python bootcamp: exploratory data analysis & deep learning on houses price dataset
deep-learning ipynb machine-learning numpy pandas python scikit-learn seaborn tensorflow
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https://github.com/gojoel/brockton-data-analysis
Analyzes police logs from the city of Brockton, MA and attempts predictive analysis.
data-science exploratory-data-analysis geopy machine-learning matplotlib numpy pandas seaborn
Last synced: 09 May 2026
https://github.com/arsh-pixel-cmd/ai-image-classifier
AI Image Classifier is a web app that uses AI and deep learning to classify images in real-time. Built with Streamlit, TensorFlow (MobileNetV2), OpenCV, and NumPy, it allows users to upload single or multiple images and get the top-3 predictions with confidence scores instantly in the browser.
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https://github.com/amruta33/telecom-churn-case-study
Building a classification model for reducing the churn rate for a telecom company.
logistic-regression matplotlib numpy pandas plotly python seaborn skit-learn statmodels
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https://github.com/sohitbennett/roadsafe
A Deep learning computer vision system for real-time traffic safety monitoring.
computer-vision esrgan keras numpy pandas python scikit-learn tensorflow tesseract-ocr yolov5 yolov8
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https://github.com/gurramankit/censusproject_ml_randomforest
The objective of this project is to build a classification model using the Census Income dataset from the UCI Machine Learning Repository. The model predicts whether an individual's income exceeds $50,000 per year, based on their demographic and employment-related attributes.
matplotlib numpy pandas python random-forest scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/cinnaavox/loan-prediction
Machine Learning project predicting loan approvals using Decision Tree Classification. Includes data cleaning, feature engineering, model evaluation and key business insights.
decision-trees matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/gustavodinizmonteiro/pagehank
gephi information-retrieval numpy pagerank pandas pipenv python python3
Last synced: 14 Apr 2026
https://github.com/badranalyst/time-series-analysis-of-global-trends-in-diet-gym-and-finance
This project analyzes global trends in diet, gym, and finance over time using time series data. The analysis is performed using Python libraries like Pandas, Matplotlib, and Seaborn to visualize trends and identify patterns in these sectors across various countries.
data-analysis dataset matplotlib-pyplot numpy pandas python seaborn time-series
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https://github.com/anjaliwork20/heart-failure-prediction
Heart Failure Prediction in Humans
failure-detection heart heart-disease machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning seaborn svc-model
Last synced: 21 Jan 2026
https://github.com/salma-mamdoh/the-android-app-market-on-google-play-project
My project aims to practice Data Analysis and Data Visualization on DataCamp
data-analysis data-visualization datacamp jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/alisonmitchell/titanic
Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.
deep-learning keras machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn tensorflow
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https://github.com/sweta2501/ml
Consist of ML projects based on Python along with DataSheets
machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn sklearn-model
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https://github.com/probokrishnacahya/machine_learning
IMT01306601-A Machine Learning
ipynb machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/soumyapro/parkinson-disease-prediction
This project predicts Parkinson's disease using machine learning models.
logistic-regression numpy pandas scikit-learn svc xgboost
Last synced: 19 Jan 2026
https://github.com/sudarshanc00/smishing
This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.
nltk numpy pandas python scikit-learn scipy
Last synced: 14 Apr 2026
https://github.com/lorenzorottigni/ml-kyphosis
Machine Learning python bootcamp: decision trees & random forest on kyphosis dataset
decision-trees ipynb machine-learning numpy pandas python random-forest seaborn
Last synced: 14 Apr 2026
https://github.com/sultanazhari/game-trend
Ice as a online store Video Games want to know a new trend of video game to help them prepare a video games which is more profitable to sell. As a data Analyst we're giving a trend of video game by genre, platform, console and the others clasification.
matplotlib-pyplot numpy pandas python3 scipy-stats video-game
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https://github.com/ricky9667/taiwanoceantrashpredict
A very simple DNN project using Keras.
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https://github.com/dwija12903/ai-lab
A collection of practical implementations from my AI Labs course
keras numpy sckit-learn tensorflow
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https://github.com/gayatri018/ab-testing-marketing-campaign
This project involves conducting A/B testing to evaluate the performance of two marketing campaigns: Facebook Ads and Google Adwords for an online retail business. The primary goal is to determine which campaign is more effective in driving user engagement and conversions, helping the company optimize its marketing strategies.
ab-testing linear-regression matplotlib numpy pandas python scipy seaborn sklearn-
Last synced: 10 Apr 2026
https://github.com/guybanbo/qr-algorithm
QR alogrithm for finding eigenvalues and eigenvectors of a large symmetric matrix
haskell hmatrix numpy optimization python qr-algorithm symmetric-matrix
Last synced: 19 Jan 2026
https://github.com/aaaastark/breast_cancer_analysis
Breast_Cancer_Analysis
data-science dataset machine-learning numpy pandas python sklearn tensorflow
Last synced: 10 Apr 2026
https://github.com/jlmsc/gaussian-elimination
Python implementation of the Gaussian Elimination method for solving systems of linear equations.
algorithms back-substitution educational gaussian-elimination linear-algebra linear-systems math matrix numerical-methods numpy pysimplegui python row-echelon-form scientific-computing sympy
Last synced: 31 May 2026
https://github.com/angelarreola/ai_notes
Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.
ai matplotlib numpy pandas phaserjs python scikit-learn
Last synced: 21 Jan 2026
https://github.com/nisch-mhrzn/house_prediction
This project predicts house prices using data exploration, feature engineering, and machine learning models like Linear Regression and Random Forest. It demonstrates how to optimize models and evaluate their performance to accurately forecast house prices.
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/achronus/data-graphing-tool
A tool for finding the perfect graph that fits your CSV data.
data-visualization matplotlib numpy pandas python3
Last synced: 13 Oct 2025
https://github.com/abideen-olawuwo/heart-diseases
A Heart diseases Machine Learning classification problem
decision-tree-classifier kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/shubham-bendre/football-clip-analysis
This project uses YOLO and Roboflow datasets to analyze football matches, detecting players, referees, and the ball while tracking movements in real-time.
deep-learning matplotlib numpy roboflow-dataset yolov5
Last synced: 17 May 2026
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/sadafasad/banks-mc-etl-pipeline
Banks' market capital ETL data pipeline
apache-airflow beautifulsoup docker numpy pandas python requests sqlite
Last synced: 14 Apr 2026
https://github.com/avik-pal/kaggle-titanic
Predicting whether a given set of people survive on the Titanic
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
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/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/architj6/gesture-control-system
This Gesture Control System allows users to control various system functions (like mouse movement, volume adjustment, and screen brightness) using hand gestures through a webcam. It leverages MediaPipe for hand tracking and PyAutoGUI for controlling the system. The project enables intuitive, hands-free control for everyday tasks.
brightness-control cursor cursor-control doubleclick drag-and-drop gesture handgesture handgesture-recognition mediapipe numpy opencv os pyautogui pycaw python python3 scroll volume-control
Last synced: 17 Apr 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/cosmoquester/numpy-neural-net
This is neural network samples implemented with numpy without machine learning libraries.
implementation neural-network numpy
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https://github.com/deepcloudlabs/dcl702-2021-jul-12
DCL-702: Data Analytics using Python
data-analytics numpy pandas python3
Last synced: 05 May 2026
https://github.com/navindafernando/lane-detection
Lane Detection with Image Feature Extraction Techniques :aerial_tramway:
image-feature-extraction kernel-filters machine-learning neighborhood numpy opencv sobel-filter
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https://github.com/muhammadshavaiz/hand-sketch-recognition--inceptionv3
The Hand Drawn Sketch Classification project uses PyTorch to classify hand-drawn sketches. It evaluates model Inception_v3, with Inception_v3 achieving the highest accuracy of 57%. The repository features scripts for dataset management, model training, and evaluation.
inception-v3 matplotlib numpy pandas python pytorch
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https://github.com/juzershakir/train_a_smartcab_to_drive
From just cab, to Smart-Cab
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https://github.com/hifly81/photox
photo and album organizer for gtk3
gtk3 numpy opencv-python photography pil pillow python
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https://github.com/luliatuccu/weather_analysis
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data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns
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https://github.com/manuel-lang/numpymongo
A python package to export NumPy data to MongoDB
Last synced: 23 Feb 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/rezasharifi82/lesson_extractor
Extract all possible "معارف" courses @ Ferdowsi University of Mashhad ,FUM
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https://github.com/salvatoreamaddio/pipeline-assessment
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https://github.com/harmanveer2546/heart
Predicting the presence of heart disease based on several health-related factors and Performing - i.) Data Cleaning ii.) Data Pre-Processing iii.) EDA iv.) Compare 5 different classification algorithms (Logistic Regression, Decision Tree, Random Forest, KNN and SVC)
data-preprocessing decision-tree eda knn logistic-regression machine-learning numpy pandas random-forest roc-auc-curve svc
Last synced: 03 May 2026
https://github.com/dilkushsingh/iris-species-classifier
Used Random Forest Classifier Algorithm
huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit
Last synced: 15 Apr 2026
https://github.com/andres29ac/website_heatmaprisk
Mapa hecho con Streamlit y Folium para mostrar la distribución delictiva de cada distrito de Trujillo mediante Mapas de Calor.
folium-maps heatmap-visualization numpy pandas ploty python stadistics streamlit
Last synced: 15 Apr 2026
https://github.com/maia-bastos/an-lise-descritiva-ibge
analise-de-dados estatistica numpy pandas seaborn
Last synced: 15 Apr 2026
https://github.com/subh888999/car-prices--analysis-projects
This repository houses projects focused on data collection, assessment, cleaning, visualization, and analysis. It includes workflows and methodologies for handling data, from initial gathering and evaluation to processing, visualizing insights, and performing in-depth analysis
jupyter-notebook matplotlib numpy panda seaborn statistics
Last synced: 03 May 2026
https://github.com/shahaba83/airplane-ticket-cancellation
In this project, we try to predict the possibility of canceling the plane ticket by the buyer
datatime numpy pandas python scikit-learn seaborn
Last synced: 25 Feb 2026
https://github.com/jaypanchal9/fraud-detection-case-study
A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn xgboost
Last synced: 15 Apr 2026
https://github.com/hercules-peters/learn-ml-with-me
Welcome to **ML-Journey**, my personal progress tracker for mastering machine learning! This repository showcases my projects, notebooks, and explorations as I advance my skills, starting with hands-on projects.
machine-learning numpy pandas python sklearn
Last synced: 15 Apr 2026
https://github.com/martincastroalvarez/search-keras-gensim-elasticsearch
Search Engine using Word Embeddings, GloVe, Neural Networks, BART and Elasticsearch
elasticsearch gensim gensim-word2vec keras nlp numpy python scipy spacy word2vec
Last synced: 15 Apr 2026
https://github.com/ishinzoo/songrecommendation
This project is a machine learning-based system that recommends songs based on the user's detected emotions. The application uses facial expression recognition to determine the user's current emotional state and suggests songs that align with that emotion. This system can be particularly useful for personalized music streaming services, helping use
machine-learning mediapipe numpy opencv os python tenserflow
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https://github.com/massimilianovisintainer/diabetics-prediction-model
Machine learning model for diabetes prediction.
machine-learning numpy pandas python sklearn svm-classifier svm-model
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https://github.com/shishirshekhar/penguin_app
This is a penguin species prediction web app
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Last synced: 09 Apr 2026
https://github.com/oleksiilatypov/mlzoomcamp-capstone01
mlzoomcamp capstone project
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https://github.com/farha-dahman/investigate_dataset
Investigate [No-show appointments] Dataset
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https://github.com/singhvishal003/sales-data-analysis
Data Analysis according to sale data.
matplotlib numpy pandas seborn
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https://github.com/dmitruzik/python_projects
All python projects are here
matplotlib numpy pandas python seaborn
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https://github.com/offthetab/lung_cancer_prediction
ML for Lung Cancer Prediction dataset from kaggle.
matplotlib numpy pandas python seaborn sklearn
Last synced: 25 Feb 2026
https://github.com/chandkund/sentiment-analysis-on-movie-reviews
Project on Sentiment Analysis of Movie Reviews using K-means clustering. This project clusters movie reviews based on their sentiment scores to understand audience reactions. Includes data preprocessing, feature selection, model development, and visualization.
data-science eda jupyter-notebook machine-learning matplotlib numpy pandas preprocessing python sklearn
Last synced: 01 Feb 2026