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/sulaimanniazi/image-histogram-generator
Python based image histogram generator and plotter
cv2 cv2-library histogram image image-processing numpy os pylab python python-script python3 random skimage
Last synced: 28 Apr 2026
https://github.com/ivangael/image-toolbox-backend
api-rest flask numpy opencv python tensorflow
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https://github.com/nitish2773/food-delivery-delay-analyzer
matplotlib-pyplot numpy pandas python3 scipy-stats seaborn
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https://github.com/shivamkumar818/mbti-personality-prediction-from-text-data
MBTI Personality Prediction from Text Data This project leverages machine learning to predict Myers-Briggs Type Indicator (MBTI) personality types based on textual data, specifically from social media posts.
confusion-matrix correlation-matrix data-visualization dataset knn-classification linear-regression logistic-regression modeltraining navebayes numpy pandas python
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https://github.com/iv4n-ga6l/Crowd-move-simulation
Crowd move simulation in python
matplotlib numpy python simulation
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https://github.com/harmanveer-2546/finding-you-next-perfect-house
In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.
adaboostregressor decisiontreeregressor exploratory-data-analysis house-price-prediction inline linearregression matplotlib numpy onehotencoder pandas plotly python randomforestregressor renting seaborn standardscaler xgbregressor
Last synced: 13 Apr 2026
https://github.com/hajaarh/malaria_hematie_cnn
Algorithme de réseaux de neurones convolutionnels
numpy pandas python resnet-50 sklearn-library tensorflow vgg16
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https://github.com/soumyapro/house-price-prediction
Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.
linear-regression matlplotlib numpy pandas sklearn svm
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https://github.com/dmarks84/coursework_project_nlp-with-nltk
Project for University of Michigan Applied Data Science Specialization -- Utilized NLTK library to process natural language, and then built several spelling recommenders for a list of misspelled words.
data-modeling databases dataframes eda nlp numpy pandas python reporting statistics text-mining visualization
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https://github.com/lmtreser/intro-data-science
Trayecto de formación en Ciencias de Datos con Python y Pandas
data-science matplotlib numpy pandas python seaborn
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https://github.com/udacity-machinelearning-internship/support-vector-machine
Implementing SVM's using pandas and sklearn in python
numpy pandas sklearn support-vector-machines svm
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https://github.com/rajan-bhateja/data-analysis-with-python
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data-cleaning data-science jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/aritrakar/ai-projects
🤖A centralized collection of links to my AI projects roughly divided by topic.
numpy pandas python pytorch tensorflow
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https://github.com/sadegh15khedry/housing-prices-prediction-using-randomforest
This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.
csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn
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https://github.com/sadegh15khedry/titanic-survival-prediction
Predicting Titanic survival using neural networks.
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https://github.com/5hraddha/eda-instacart-customers-shopping-habits
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data-visualization exploratory-data-analysis instacart matlpotlib numpy pandas
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Python, NLTK, Scikit-Learn, Pandas, NumPy, Pickle, SciPy, and JSON are used for text preprocessing, feature engineering, multi-label classification, and model persistence.
nltk numpy pandas pickle python scikit-learn scipy
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https://github.com/jcm-ai/robust-mlops-elevating-machine-learning-to-production-scale
This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.
aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml
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https://github.com/niel0503/probabilidade-e-amostragem
Desafio desarrollado para el bootcamp de WoMakersCode
estadistica matplotlib numpy pandas stats
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https://github.com/geetu040/fetcher
AI GAME: We have a random maze and 2 agents at random places. You control the Fetcher and find the way through the maze to get ot the target. You can automate the Fetcher to use trained models that help Fetcher fetch the target by itself. The models are based on deep neural networks, implemented by tensorflow and Keras API. The models are so efficiently trained, they find ways through the maze without hitting the walls and have an accuracy of more than 99%
artificial-intelligence css deep-learning html javascript jupyter-notebook machine-learning matplotlib neural-networks numpy python sklearn tensorflow web-design
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https://github.com/fabriziomusacchio/ann_with_numpy
A how-to for building an artificial neural network from scratch using NumPy
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https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24
This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.
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https://github.com/lesiaukr/mathematic_for_cs_colab_hw
Master's degree | HW | Mathematics for Computer Science course | Homeworks
goit google-colab home-works latex linear-algebra mathematics-for-computerscience matrices numpy python vectors
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https://github.com/ahmedabdalkreem/healty-care
The Complete project using neural network to arrive the best healt know he is stoke or not.
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https://github.com/danny-1k/nnpy
Neural network library written from scratch in numpy
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https://github.com/harshs472/real-time-object-detection
Real time object detection that detects approximately 80 objects!!!!
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https://github.com/parthshah02/customer_churn_dashboard
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https://github.com/ola-kaznowska/numpy-matrix-arrays
Practice working with the NumPy library and multiple arrays. Copy() and view() functions
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keras-tensorflow matplotlib-pyplot mlflow numpy optuna pandas python scikit-learn seaborn statsmodels ta-lib tensorflow
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https://github.com/nihanthbhargav/time-series-stock-market
This project combines computer vision and NLP by segmenting pet images with a U-Net model and generating captions using CNN-RNN/LSTM. Using the Oxford-IIIT Pets dataset, it demonstrates a unified pipeline that integrates pixel-level segmentation with automatic caption generation for meaningful image understanding.
matplotlib numpy pandas plotly python scikit-learn seaborn
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Image processing.
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Developed an AI chatbot using the Cornell Movie Dialogs dataset; trained an LSTM-based model to generate context-aware, conversational responses for user inputs.
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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.
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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.
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https://github.com/nimaabediforud/heart-disease-prediction
The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.
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https://github.com/prarthana-singh/bangalore-house-price-predictor
🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.
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https://github.com/pedasoft-consult/employee-attrition-prediction
This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.
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https://github.com/alex-s2222/mem_chat_bot
телеграмм бот для создания gif из текста введённого пользователем
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https://github.com/gherrada22/spanish-sign-translator
This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.
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https://github.com/faisal-khann/ipl-analysis
The IPL Analysis project is a comprehensive data-driven exploration of the Indian Premier League (IPL), analyzing historical match data to uncover patterns in team performance, player statistics, and match outcomes.
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https://github.com/bhavnanahar/coral_project
ChatGPT said: This project analyzes and predicts the health of coral reefs in the Florida Keys by examining coral cover and species richness trends over time.
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https://github.com/dmarks84/coursework_project_image-text-recognition
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classification computer-vision image-classification numpy pandas programming python text-classification
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https://github.com/tuokri/rs2simlib
Python library for Rising Storm 2: Vietnam physics objects simulation and automated data collection.
numba numpy physics rising-storm-2-vietnam simulation unreal-engine-3
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https://github.com/ianhaggerty/final-capstone
This represents the final capstone project in my HyperionDev Data Science (fundamentals) course. A dataset of Amazon customer reviews is analysed using natural language processing.
amazon data-analytics data-science data-visualization dataset matplotlib nlp nlp-machine-learning numpy pandas plotly reviews seaborn spacy tabulate textblob wordcloud
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A Python-based project that extracts the dominant colors from an image using the KMeans clustering algorithm. This project is useful for applications like image processing, color palette generation, or analyzing the most prominent colors in images.
kmeans-clustering matplotlib matplotlib-pyplot numpy p pillow python sklearn
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https://github.com/pedrolustosa/energyforecasting
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artificial-intelligence axios bootstrap5 chartjs css data-science fastapi fontawesome html5 numpy pandas python r react react-bootstrap rpy2 sklearn spinner toastr typescript
Last synced: 04 Apr 2026
https://github.com/ljadhav25/false-alarm-detection
The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.
flask flask-api logestic-regression numpy pandas pkl pycharm-ide python
Last synced: 19 Jan 2026
https://github.com/akshay-kamath/anomaly_detection
This project addresses the challenge of identifying anomalies in sales data, aiming to optimize sales strategies by uncovering deviations from expected profit patterns.
anomaly anomaly-detection cblof flask isolation-forest knn matplotlib numpy pandas pyod python sklearn
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https://github.com/bharath-tars/deeptumor2.0
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css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow
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https://github.com/lorenzorottigni/ml-breast-cancer
Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
Last synced: 14 Apr 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
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https://github.com/ricardorobledo/paymentcardfrauddetection2025
Comparative analysis of probabilistic classification models for credit card fraud detection, focusing on model calibration and threshold optimization in highly imbalanced datasets.
imbalanced-learn matplotlib numpy pandas python3 scikit-learn search
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https://github.com/ricky9667/taiwanoceantrashpredict
A very simple DNN project using Keras.
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https://github.com/chandkund/ev-market-segmentation
This project focuses on segmenting the Electric Vehicle (EV) market in India to identify key customer groups based on their preferences, behaviors, and demographics.
machine-learning matplotlib numpy pandas seaborn sklearn visualization
Last synced: 19 Jan 2026
https://github.com/umesh-01/python
Python is a programming language that lets you work more quickly and integrate your systems more effectively. Python is used for web development, AI, machine learning, operating systems, mobile application development, and video games.
ai application-development artificial-intelligence deep-learning machine-learning matpotlib ml nlp numpy open-source pandas python python-framework python-libraries python3 web-development
Last synced: 07 Apr 2026
https://github.com/jonad/quora_w2v
In-domain word embedding using Quora dataset.
gensim-word2vec matplotlib numpy pandas python3
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https://github.com/chandkund/sms-spam-detection
The goal is to develop a classification model that can accurately differentiate between spam and non-spam messages. This is crucial for applications like email filtering, SMS spam detection, and improving overall user experience by reducing the influx of unwanted or malicious content.
matplotlib nlp-machine-learning numpy pandas seaborn stemming tfidf-vectorizer tokenization
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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
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High speed conversion of IP addresses represented in CIDR notation into their corresponding start and end IPs, along with their respective subnet masks.
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Analysis of video game sales data of an online store Ice, which sells video games all over the world & identify patterns that determine whether a game succeeds or not.
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cv2 jupyter-notebook numpy opencv pickle python
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This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.
conv1d huber-loss-regression kaggle keras lstm machine matplotlib numpy pandas scikit-learn seaborn solar sunspots tensorflow time-ser
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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
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Ingest and vectorize content upon publication, store embedding, then retrieve and augment user queries with context to generate high-quality responses.
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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/bhuvantenguria/adobe-gensolve
Adobe-Gensolve
cv2 dotenv firebase-admin flask numpy pandas python react svgpathtools svgwrite
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https://github.com/chirindaopensource/search_benford_law_compatibility
End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.
academic-research anomaly-detection benfords-law chi-squared-test data-validation econometrics financial-analysis financial-data forensic-accounting fraud-detection ftse goodness-of-fit jupyter-notebook numpy pandas python reproducible-research risk-management scipy statistical-testing
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https://github.com/kriss024/python
Python for Data Science
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This project highlights a combination of data science techniques and Python programming to explore real-world weather data.
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https://github.com/yashaka/learncv
Toolset used in learning Computer Vision at R_D course
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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.
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Risk Analytics using Python
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https://github.com/gusenov/max-empty-rect-py
:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.
algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection
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https://github.com/sonaligill/olympics-analysis
The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.
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https://github.com/nordszamora/ds-ml-projects
My repository for Data Science & Machine Learning projects.
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https://github.com/bedirk/portfolio-projects
Data Analytics Portfolio Projects
dataanalysis excel mssqlserver numpy pandas powerbi python sql tableau
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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
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https://github.com/sa001gar/password-manager-on-the-top-of-streamlit
Secure Password Manager is a Python-based application developed by Sagar Kundu, designed to provide users with a secure and convenient way to manage their passwords. With features like user authentication, password generation, and secure storage using bcrypt and MongoDB, it ensures the safety of sensitive information while offering an intuitive use
bcrypt gui-application mongodb numpy numpy-library pandas-dataframe pandas-library pandas-python password-generator password-manager pymongo python python3 streamlit-application streamlit-webapp urllib
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Repository dedicated to storing and managing the first assignment for C213 - embedded systems.
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A repository of projects done while learning and exploring ML
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A comprehensive case study applying machine learning techniques to detect fraudulent transactions effectively.
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