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/fanisgl/cnn_machine_learning
A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.
data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2
Last synced: 24 Feb 2026
https://github.com/yulia-momotyuk/dla-data-analysis-practice
This repository contains my homework assignments completed during the "Data Analyst in IT" course at Data Loves Academy.
analytics data-analysis data-visualization excel mysql numpy pandas postgres powerbi python seaborn sql tableau
Last synced: 14 Apr 2026
https://github.com/juzershakir/train_a_smartcab_to_drive
From just cab, to Smart-Cab
cogsci decay-rate epsilon machine-learning machine-learning-algorithms machine-learning-tutorials matplotlib numpy pandas pygame python27 q-learning reinforcement-learning smartcab training udacity-nanodegree visualization
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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/kostadinlambov/bitcoin-and-stock-market-correlation
This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.
bitcoin data-science jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-stats seaborn sp500-data-analysis
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https://github.com/bilgenurbekar/turkishcyberbullying
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bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers
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https://github.com/apbetioli/neural-network
A simple neural network implementation
machine-learning neural-network numpy python3
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attention-mechanism backpropagation deep-learning numpy
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https://github.com/harmanveer-2546/nba-homecourt-advantage-data-analysis
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analysis homecourt learning-curve linear-models logisticregression metrics model-selection nba nba-analytics nba-stats numpy pandas preprocessing seaborn sklearn standardscaler
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https://github.com/miasanromen/math-modeling
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math matplotlib numpy probality-theory scipy-stats statistics
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https://github.com/jsd115/tensorflow_bankfrauddetection
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numpy pandas sklearn tensorflow
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https://github.com/ggrbill/phd-plot-scripts
My personal plot scripts used to generate graphs for my PhD Thesis
hacktoberfest matplotlib numpy python
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https://github.com/nordszamora/ds-ml-projects
My repository for Data Science & Machine Learning projects.
data-analysis data-science data-visualization jupyter-notebook kaggle machine-learning matplotlib numpy pandas python scikit-learn seaborn
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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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https://github.com/drsartoriuss/portfolio
Учебные проекты из Яндекс Практикума "Специалист по Data Science+"
catboost computer-vision data-science deeplearning mashinelearning matplotlib nlp-machine-learning numpy pandas scipy seaborn sklearn sql torch tsf
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https://github.com/matheusafonseca/c213-trabalho-1
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matplotlib numpy pid-controller python scypi streamlit
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https://github.com/asherk7/house-price-prediction
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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
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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
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https://github.com/itssahilwhat/ai-fundamentals
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computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn
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Portfolio of data science projects completed by me during PGP AI/ML, self learning, and hobby purposes.
data data-science dataanalysis deep deep-learning keras machine-learning matplotlib numpy opencv pandas python scikit-learn seaborn surprise-python tensorflow transfer-learning
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https://github.com/coueghlani/nlp
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mineria-de-datos nlp nlp-machine-learning nltk numpy procesadores-de-lenguajes sklearn spacy
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https://github.com/mahmud-kandawala/simulating-covid-19-python-
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https://github.com/carterbox/libimage
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https://github.com/leftcoastnerdgirl/matplotlib_and_numpy
This project applies lessons using Matplotlib and Numpy
bar-charts box-and-whisker-plots correlation-analysis data-analytics data-visualization jupyter-notebook linear-regression numpy pandas-dataframe pandas-python r-value scatter-plot scipy scipy-stats
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https://github.com/karthikarajagopal44/numpy-beginner-to-advanced
This repository is designed to help you master NumPy, the fundamental package for scientific computing with Python. Whether you are just getting started or looking to refine your skills with advanced techniques, this repo covers a comprehensive range of topics and functionalities. It covers the range of topics from beginner to advance.
data-science numpy numpy-library numpy-tutorial python
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https://github.com/yalai92/alfalfa_imp_exp_analysis
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https://github.com/ankit21111/carpredict
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https://github.com/tzepart/choosing-oil-region
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matplotlib ml numpy pandas seaborn sklearn
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https://github.com/haimgoldfisher/data_sience_intro_final_project
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bayes classification decision-trees diamond kaggle knn-classification linear-regression logistic-regression numpy pandas regression scikitlearn-machine-learning sklearn wine
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https://github.com/harmonicode/signal_equalizer
Signal Equalizer is a Python-based application designed to process and analyze various types of signal data, including audio and ECG signals. It provides functionalities for reading, processing, visualizing, and enhancing signal data using techniques such as Wiener filtering.
audio-processing numpy pyqt5 scipy signal-processing wiener-filter
Last synced: 13 Feb 2026
https://github.com/maia-bastos/estimativas
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numpy pandas python3 scipy-stats
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https://github.com/islamshahil/neuralnetworks
Hello World to Neural Network.
deeplearning neural-network numpy python
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https://github.com/codersales/machine-learning-classification
machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent
authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation
Last synced: 07 Mar 2026
https://github.com/saurabh274/netflix-eda
Analyze the data and generate insights that could help Netflix in deciding which type of shows/movies to produce and how they can grow the business in different countries.
matplotlib numpy pandas python seaborn
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https://github.com/nagar2nd/ml-regressionmodel---cardekho-price-prediction
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analytics cleaning-data data linear-regression machine-learning matplotlib numpy pandas python seaborn
Last synced: 16 Apr 2026
https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3
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imbalanced-learning numpy pandas python scikit-learn seaborn xgboost
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https://github.com/tansudasli/tensorflow-sandbox
all about machine learning
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https://github.com/williyam-m/movie_booking_app
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django machine-learning numpy orm pandas python sckiit-learn sqlite3
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https://github.com/hygull/trypandas
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matplotlib numpy pandas python3
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https://github.com/urvee1810/air-quality-prediction-using-arima
Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.
arima-model dickey-fuller-test matplotlib numpy pandas python seaborn statistical-analysis time-series-analysis
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https://github.com/ashwin331133/liver_disease_detection
This dataset consists of 416 liver patient records and 167 non-liver patient records collected from North East of Andhra Pradesh, India. And The main objective of this project is to use classification algorithms to detect liver patients from healthy individuals.
data-visualization machine-learning numpy pandas python
Last synced: 16 Apr 2026
https://github.com/thekartikeyamishra/customer-retention-predictor
The Customer Retention Predictor is a Python-based tool designed to help businesses predict customer churn using historical data. This project is particularly beneficial for small businesses and MSMEs in India, allowing them to identify customers at risk of leaving and take proactive measures to retain them.
joblib machine-learning numpy pandas python scikit-learn tinker
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https://github.com/pedasoft-consult/customer_analytics_fmcg
Customer Analytics in FMCG Industry
k-means-clustering matplotlib numpy pandas python seaborn
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https://github.com/archish27/pythontutorial
Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications
matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup
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https://github.com/rahulchouhan1/spotify-most-popular-songs-data-analysis
🎵 Spotify Songs Analysis using Pandas
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https://github.com/oguzhantekeli06/datascience_machinelearning_prediction
Data science project
data-visualization datascience-machinelearning numpy python3
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https://github.com/bishopce16/school_district_analysis
The school board requested an analysis on the various performance metrics for the school district.
data-analysis jupyter-notebook numpy pandas python visual-studio-code
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https://github.com/dellano54/extreme-matmul
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https://github.com/supershivam5/python_projects
💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!
matplotlib-pyplot numpy pandas scikit-learn seaborn
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https://github.com/farzeennimran/or-and-and-gates-using-perceptron-learning
Training single-layer perceptrons to get the outputs of OR and AND logic gates.
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https://github.com/beaprogrammer02345/amazon_webscraping_data
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data-analysis knn-classifier numpy python scikit-learn seaborn
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https://github.com/satyas567/weatherdataanalysis
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https://github.com/davityak03/basics-of-python-
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Last synced: 02 Apr 2026
https://github.com/mnagaharshithrao/diamondpriceprediction
Diamond Price Prediction is a machine learning project that predicts the price of diamonds based on features like carat, cut, color, clarity, and more. Using models such as XGBoost, Random Forest, and Gradient Boosting, the project aims to accurately forecast diamond prices, helping buyers and sellers in the diamond industry make informed decisions
machine-learning numpy pandas sckiit-learn xgboost
Last synced: 17 Apr 2026
https://github.com/prashver/end-to-end-model-deployment-on-aws
Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.
amazon-web-services aws-elastic-beanstalk end-to-end-deployment flask machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/raduldev/ibm_capstone_final_project
IBM Data Science Professional Certifcate Capstone Project
api arcgis-api folium-maps foursquare-api ibm-watson jupyter-notebook matplotlib numpy pandas python3 sklearn
Last synced: 02 Apr 2026
https://github.com/viniciusdsandrade/discount-decider-with-python
discount numpy optimisation python
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https://github.com/cosmicsid004/air_draw
Digital drawing....
handtracking mediapipe numpy opencv
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https://github.com/tharushi11/titanic-data-analysis
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dax machine-learning numpy pandas powerbi sklearn titanic-survival-prediction visualization
Last synced: 17 Apr 2026
https://github.com/lmizner/codecademy_nba_trends
Investigate whether there is an association between two variables
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Last synced: 17 Apr 2026
https://github.com/sofiakhutsieva/analytical_report_for_producers_of_educational_programs
Подготовка аналитического отчета (Проект в skillbox )
analytics matplotlib numpy pandas seaborn
Last synced: 17 Apr 2026
https://github.com/vishal-verma-96/oil_spill_prediction_using_ml
This ML project predicts oil spills using various machine learning algorithms like XGBoost and Random Forest. This project also contains saving and load of the model to make predictions on a sample dataset.
data-science machine-learning-algorithms machine-learning-classification matplotlib model-building-and-evaluation numpy pandas pickle python-3 scikitlearn-machine-learning xgboost
Last synced: 17 Apr 2026
https://github.com/antonio-f/regularization-methods
Shrinkage methods: Ridge Regression and Lasso
lasso lasso-regression machine-learning numpy python regularization ridge-regression scikit-learn
Last synced: 17 Apr 2026
https://github.com/mgitrov/cnn-on-cifar-10
A computer vision project aiming to classify random images uploaded by the user.
artificial-neural-networks computer-vision convolutional-neural-networks deep-learning keras matplotlib numpy pil regularization tkinter
Last synced: 17 Apr 2026
https://github.com/shhiivvaam/regression
Linear Regression Model
linear-regression numpy python
Last synced: 10 May 2026
https://github.com/rosieoh/emergency_dataanalysis
오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석
ipython matplotlib numpy pandas python scikit-learn scipy
Last synced: 04 Apr 2026
https://github.com/anas436/numpy-basics-with-python
jupyter-notebook numpy numpy-arrays pandas python3
Last synced: 17 Apr 2026
https://github.com/sadegh-khedry/comments-sentiment-analysis
text classification on comments using an ANN model.
collections deep-learning keras nlp numpy pandas python sentiment-analysis sklearn spacy unicodedata
Last synced: 04 Apr 2026
https://github.com/abhijeet107/superstore-sales-data
Many more to come stay tune
matplotlib numpy pandas python3 seaborn-python
Last synced: 17 Apr 2026