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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/5hraddha/interconnect
Interconnect : Clients Churn Prediction using ML
decisiontreeclassifier dummyclassifier lgbmclassifier logisticregression matplotlib numpy ordinalencoder pandas randomforestclassifier scipy scipy-stats seaborn sklearn standardscaler
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https://github.com/sralter/sustainability_insights
A data analysis project that derived insights from an emissions dataset sourced from Climate TRACE.
duckdb eda matplotlib numpy pandas tableau
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https://github.com/aditya-ranjan1234/1stsem-el-dataset-analysis
Netflix Dataset Analysis
beginner matplotlib numpy pandas python
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https://github.com/cchandre/rg
Renormalization for the break-up of invariant tori in Hamiltonian flows
expm hamiltonian hamiltonian-dynamics invariant-tori kolmogorov-arnold-moser numpy python3 renormalization-group scipy
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https://github.com/piyush1927/flightforecast
ML model to predict flight prices based on various features like departure time, arrival time, duration, airline, source, destination, and number of stops.
machine-learning mathplotlib numpy pandas scikit-learn seaborn
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autonomous-vehicles cornell docker machine-learning mapping matplotlib numba numpy osmnx pytest python3 qlearning robotics scipy tk
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https://github.com/andrii-zapukhlyi/image_classifier_from_scratch
Image classifier from scratch using NumPy + CNN + Transfer Learning
cnn deep-learning image-classification machine-learning neural-networks numpy transfer-learning
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https://github.com/bhattbhavesh91/tf-numpy-example
Faster NumPy using Tensorflow's tf.experimental.numpy module
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ai case-study data-visualization lovable-ai machine-learning matpplotlib mvp numpy pandas project python sckiit-learn seaborn solution tensorflow
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https://github.com/camilajaviera91/apache-beam-pipeline-first-approach
This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.
apache-beam dataframes glob kmeans-clustering matplotlib-pyplot mean-absolute-error mean-square-error numpy os pandas pipelines scipy-stats seaborn silhouette-score sklearn sklearn-datasets standardscaler
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https://github.com/datarohit/nlp-course-files
The files in this Repo are files for the online NLP-Course from Udemy.com which I completed.
nlp nlp-machine-learning nltk numpy panda python sklearn spacy
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Machine Learning Python library for academic purposes.
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Training an AI model to recognize handwritten digits
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predict the price of sale car
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differential-equations lagrangian-mechanics matplotlib numerical-integration numpy python scipy vpython
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https://github.com/htlinh0604/invoice-data-extraction
This project demonstrates a classic OCR pipeline. This Flask app takes an image, applies an OpenCV preprocessing pipeline, and uses Tesseract OCR to digitize Vietnamese invoices (Bách Hóa Xanh)..
flask numpy ocr-recognition opencv pandas python regex tesseract-ocr
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https://github.com/yangeorget/clustering-algorithms
K-means and C-means experiments with Numpy
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https://github.com/antoniojcosta/calculus-exercises
Numerical Calculus exercises solved using python.
calculus calculus-course fraction jupyter-notebook mathematics matplotlib numpy phisics python sympy
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https://github.com/nguyenanhtuan1912/computer_vision_exercises
Trong này sẽ chứa các file source về bài tập Computer Vision.
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https://github.com/apchavan/ulmfit_twitter
ULMFiT model for Twitter US Airlines Sentiment
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https://github.com/dipto1971/statistical-analysis-data-science
Statistical Analysis in Data Science
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https://github.com/programmer-rd-ai/moviedatascraper
Explore the cinematic universe with our IMDb web scraping project! Dive into movie data with ease, uncovering insights from cast to critical reviews. With dynamic visualizations and reliable data, let's journey through the world of movies like never before. Lights, camera, analysis!
beautifulsoup beautifulsoup4 data data-analysis jupyter-notebook matplotlib numpy pandas programming python python3 scraping seaborn software web
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https://github.com/pr38/cox_ph_estimation_notebooks
Personal discovery work on estimating Cox Proportional hazards coefficients for for both breslow and efron ties, using both autograd and directly calculating the gradient and hessian
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Customer Churn Prediction using machine learning. This project covers the full data science lifecycle—data cleaning, exploratory analysis, feature engineering, model building, and extracting actionable business insights.
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https://github.com/prabath1998/rice_leaf_disease_ditection_system
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confusion-matrix doc2vec gensim logistic-regression matplotlib naive-bayes nltk numpy pandas python random-forest scikit-learn seaborn stemming stopwords-removal svm tf-idf-vectorizer tokenization vader word-cloud
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All python related content: notes, problems, progress archive.
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Analyzing Facebook ego networks to identify influential users and communities for optimizing political advertising. Leverages network science techniques (Louvain communities, centrality metrics, threshold models) to simulate influence spread.
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A program that calculates the median statistic. Program written in Python 3.13.1 with NumPy library during Machine Learning course.
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https://github.com/arsalan692/python-telusko-playlist
A collection of beginner Python scripts and practice exercises from my early learning days, inspired by Telusko and other resources.
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Data Wrangling and Analytics
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https://github.com/silbena/gibbssampler
Gibbs Sampler for a simple mortgage model.
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https://github.com/abhijeet-bhambere/exploratory_data_analysis
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https://github.com/shamiul5201/selfie_app_features_application
OpenCV project to build skills in image processing: features include Cartoonify and Pencil Sketch effects in a Jupyter Notebook, blemish removal in a Python script, and chroma keying for videos. Perfect for exploring creative and practical computer vision techniques.
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https://github.com/katalekoweb/full-python-course-for-ai
Full python curse for AI
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https://github.com/dyrits/parite
OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON
matplotlib numpy pandas python
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https://github.com/aqueeqazam/machine-learning-using-scikit
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https://github.com/asuquoaa/applied_data_science_with_python_study
Notes, codes and practicals on the Applied Data Science with Python specialization by UM
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https://github.com/navindafernando/face-recognition
Training a SVM Pipeline for Face Recognition :anger:
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https://github.com/iamwatchdogs/retail-insights-from-superstore-data
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https://github.com/thomasa/python-intro
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https://github.com/cicku/en.650.672
HW of EN.650.672
analytics data-analysis numpy pandas
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https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-graph
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https://github.com/ahmedabdalkreem/airline_passenger_satisfaction
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folium ibm-watson numpy pandas pulgins python3 wget
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https://github.com/nomissbowling/nomissbowling.github.io
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The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.
data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization
Last synced: 05 May 2026
https://github.com/amruta33/lead_scoring_case_study
An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
bagging linear-regression numpy pandas python3
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Last synced: 06 May 2026
https://github.com/cycle-sync-ai/student-score-analysis
A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.
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A practical guide to learning and using TensorFlow and NumPy for data manipulation and machine learning
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En este repositorio se vé mi TP Integrador del programa Codo a Codo: Big Data
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