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/rixiiz/image-classifier
An AI model that can classifier uploaded images
artificial-intelligence cv2 image-recognition mobilenetv2 numpy openai openai-api pil streamlit tensorflow
Last synced: 10 Apr 2026
https://github.com/izhaan0/predict-marks-based-on-study-hours
Student Marks Predictor is a machine learning project that predicts a student’s exam scores based on the number of study hours. It uses Linear Regression to learn the relationship between study hours and marks, and provides both command-line and interactive Streamlit web interfaces for prediction and visualization.
data-visualization joblib jupyter-notebook machine-learning machine-learning-algorithms matplotlib-pyplot numpy pandas pandas-dataframe pickle python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-
As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.
bcgx data-visualization exploratory-data-analysis feature-engineering jupyter jupyter-notebook model-training-and-evaluation numpy pandas random-forest scikit-learn xgboost
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https://github.com/jonad/customer_segment
Creating customer segments using unsupervised machine learning algorithm.
clustering clustering-algorithm gaussian-mixture-models jupyter-notebook kmeans-clustering matplotlib numpy pandas python scikit-learn
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https://github.com/ahmedabdalkreem/naive-bayes
Show what types of naive-bayes and how to use model and deal with data ( Numerical, Categorical and Mixed between Numerical and Categorical )
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https://github.com/erikaax08/numerical_methods
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django maths matplotlib numerical-methods numpy plotly
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Python pour les SVT
1s alignement anagene biopython clustal enzyme genetique genopy geopandas koala matplotlib-pyplot numpy pandas phylogenie python svt traduction transcription ts
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data-analysis numpy pandas python statistics
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data-analysis-python expected-goals numpy pandas-python python
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https://github.com/ankman007/python-100-days-of-code
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https://github.com/rotantos/ml-projects
Includes various ML projects created for educational purposes.
classification-model jupyter-notebook machine-learning numpy pandas python sklearn-library
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https://github.com/aymen016/cosmic-mystery-challenge-2912
"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"
kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn
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https://github.com/prince-pastakiya/human-resources-tableau-project
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https://github.com/sawaira-iqbal/data-visualization-project-on-car-sales-data
Explore Sales Data Visualization with Interactive Charts & Insights! 📊 Uncover trends and patterns to drive smarter automotive decisions.
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https://github.com/hemanthsaikumarbethapudi/last-mile_delivery_optimization.py-
This project implements an AI-powered last-mile delivery optimization system using Python. It leverages graph-based route optimization, demand prediction, and cost analysis to improve delivery efficiency in urban areas.
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https://github.com/skmirajulislam/yolov3-object-tracker
OBJECT DETC YOLO DEEP LEARNING MODEL
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https://github.com/sandyherho/buku_metnum_python
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belajar-pemrograman belajar-python indonesia indonesian-language matematika-terapan matplotlib metode-numerik numerical-methods numpy python scipy
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https://github.com/fatimaafzaal/car_price_prediction
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Projects Overview Projects made in the Data Scientist course from TripleTen LatAm
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https://github.com/sumanth44a/predicting-customer-churn-in-telecommunication
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https://github.com/paulo-santos-ds/previsao_total_corridas_taxi
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https://github.com/ngangawairimu/automating_farming_analysis
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https://github.com/cartabinaria/calcolo-numerico
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https://github.com/ramarav/house_price_prediction
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https://github.com/rlxchap2/crypto-miner
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matplotlib numpy pandas python scikit-learn
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https://github.com/sunnyrao07/stroke-risk-prediction
Predicting stroke risk using machine learning models based on healthcare and demographic data.
data-cleaning data-visualization decision-trees feature-engineering label-encoding matplotlib model-evaluation numpy outlier-detection pandas python random-forest scikit-learn seaborn standard-scaler
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predict whether a person has a heart disease or not.
classification decision-trees gridsearchcv heart-disease hyperparameter-tuning male-female numpy pandas
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https://github.com/vijaykumarr1452/startup_success_predictor
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machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn
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https://github.com/jol79/python_exercises
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https://github.com/ryan-bendelson/2024-summer-research
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https://github.com/niteshchawla/logistics-nn-regression
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https://github.com/fedesgh/parkinson_volatility_spread_on_cedears
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https://github.com/solaris0051/simplenn
simple neural network. The comments accompanied with codes are written in English.
anaconda3 colab-notebook conda conda-env conda-packages jupyterlab latex machine-learning markdown matplotlib neural-network numpy object-oriented online-learning python3
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https://github.com/hussain-7/emotion_detection-master
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https://github.com/sc0v0ne/ai-discipline-work
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https://github.com/soumyapro/wine-quality-prediction
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https://github.com/paraskevi-kivroglou/rl-pong-agent
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atari atari-games gym-environment gymnasium numpy python3 pytorch q-learning reinforcement-learning reinforcement-learning-agent
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https://github.com/yash-rewalia/airbnb_eda_pandas
The goal of the project is to gather information and analyze the detailed information of the different entries in order to provide insights about the host and price of the property in a particular area as per your preference , type of rooms and number of reviews accordingly.
data data-cleaning data-insights data-preprocessing data-visualization matplotlib numpy pandas python seaborn
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https://github.com/germanocastanho/python-notes
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https://github.com/lilivalgo/ml_time_series
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https://github.com/pardhuu66/college-id-validator
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https://github.com/georgehanymilad/startups-profit-prediction
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https://github.com/djdhairya/crop-recommendation
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https://github.com/mooseburger1/nfl-social-network-analysis
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https://github.com/ttwag/p2_gaussian_elimination
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https://github.com/raufjatoi/ai-programming
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https://github.com/lucasgleria/seamese-network-algorithm
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https://github.com/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction
With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.
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https://github.com/riju18/from-data-production-to-client-handover
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machine-learning matplotlib numpy pandas plotly python seaborn streamlit
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https://github.com/lmizner/grokking_data_science
Coding practice for basic data science interview questions in Python
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https://github.com/samir-atra/license-plate-recognition
License plate recognition system
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https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure
A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.
eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn
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https://github.com/kishanlalchoudhary/be-sem-7
BE SEM 7 Assignments
blockchain cpp design-analysis-algorithms machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/rodrigojunqueiradev/data-exploration-and-cleaning
Credit Analysis Data: Foundations for Cleaning and Exploration
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https://github.com/andremenezesds/rossmann_sales_predict
Sales Prediction for Rossmann Pharmaceutics database using Machine Learning regression modeling
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https://github.com/oleksiilatypov/dru_data_science_fundamentals
DataRootUniversity, TensorFlow, Coursera, Kaggle
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https://github.com/nishi1612/knight-tour-problem
IT485 Logic of Inference Project on Knight's Tour. A hamiltonian path problem to determine path of knight to travel entire chessboard with every cell visited only once.
backtracking-algorithm bootstrap flask html knights-tour localhost numpy pygame python tkinter warnsdorff
Last synced: 11 Apr 2026
https://github.com/arthurdsant/dataanalysis-agricultural_raw_material
This Python project performs analysis and visualization of agricultural raw material price data using a Kaggle dataset. Based on Jupiter Notebook and Python.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 26 Jan 2026
https://github.com/aksoni07/movie-recommendation
A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.
clustering content-based-filtering data-analysis embeddings jupyter-notebook numpy ollaborative-filtering pandas personalization python recommendation-systems scikit-learn user-item-interactions
Last synced: 11 Apr 2026
https://github.com/nachtfeuer/covid19
Python script(s) for visualizing corona data
csv json matplotlib numpy pandas python requests tkinter
Last synced: 05 May 2026
https://github.com/kahngjoonkoh/randomshapegenerator
A program that will generate images with random shapes and background colours. Can be customized and generated in bulk.
generative-art numpy opencv python threading tkinter
Last synced: 11 Apr 2026
