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: 2026-07-02 00:21:34 UTC
- JSON Representation
https://github.com/muhammadadilnaeem/bcg-data-science-job-simulation-on-forage-august-2024
This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.
bcg customer-churn-prediction-with-machine-learning data data-science forage numpy pandas
Last synced: 01 May 2026
https://github.com/laszlokorte/canny-notebook
Numpy Canny Edge detector implementation to visualize each step
canny-edge-detection image-processing jupyter-notebook numpy
Last synced: 02 May 2026
https://github.com/ducha-aiki/laf2ell
Utils for LAF to ellipse and back conversion. Also function for drawing LAFs.
ellipse laf local-features numpy visualization
Last synced: 02 May 2026
https://github.com/mgitrov/ann-from-scratch
An artificial neural network implemented from scratch using numpy only.
artificial-neural-networks deep-learning guide numpy
Last synced: 02 May 2026
https://github.com/lipskiyp/trading_dashboard
Pandas framework to analyze financial time-series and calculate various performance metrics (e.g. Sharpe Ratio and Max Drawdown Duration).
financial-analysis numpy pandas
Last synced: 02 May 2026
https://github.com/parham1998/linear_regression_pytorch
Implementation of a simple Linear Regression model with Numpy & PyTorch library
backpropagation gradient-descent linear-regression loss-functions numpy python pytorch
Last synced: 02 May 2026
https://github.com/open-risk-academy/academy-course-dat31055
Support material for Academy course DAT31055
linear-algebra matrix-libraries ndarray numpy
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https://github.com/krook1024-uni-archive/kmeans
kmeans implementation for a university course
kmeans kmeans-clustering machine-learning numpy python
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https://github.com/dineshdhamodharan24/singapore_flat_resale_
This project focuses on developing a machine learning model to predict the resale values of apartments in Singapore. The goal is to create a user-friendly online application that enables users to obtain accurate predictions for the resale values of specific properties.
data-analysis flat json numpy pandas pickle project python streamlit
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https://github.com/hariprasath-v/solafune_aerosol_optical_depth_estimation
Estimate AOD using Sentinel-2 data, leveraging its spectral bands and spatial resolution to improve accuracy.
catboost efficientnet exploratory-data-analysis huggingface jupyter-notebook matplotlib numpy pandas pearson-correlation python remote-sensing seaborn solafune timm transformer
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https://github.com/hi-shekhar/data_science
Data science
algorithm-comparison decision-trees keras kmeans linear-regression logistic-regression numpy pandas python sentiment-analysis svm time-series visualization webcrawler
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https://github.com/Kikobuf/3d-file-toolkit
Pure-Python toolkit for inspecting, editing, converting, and analyzing 3D print files, supports 3MF, STL, OBJ, PLY, and GLB. Detects source software (Bambu, Orca, Prusa, Cura, Fusion 360, etc.), checks compatibility across 15 CAD and slicer programs, and works with any AI coding agent (Claude, Cursor, ChatGPT, Manus). Zero dependencies beyond numpy
3d-printing 3mf ai-agent bambu chatgpt cluade cluade-code gemini manus numpy obj orca-slicer prusaslicer python stl
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https://github.com/emanuelefavero/machine-learning
This repository contains code for various machine learning concepts and algorithms
algorithms machine-learning numpy pandas python
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https://github.com/allenvox/statistics
Workspace for applied problems of probability theory & mathematical statistics & modelling class
acf autocorrelation distribution k-means k-means-clustering maths matplotlib numpy probability-theory python sklearn statistics
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k-means-clustering matplotlib numpy pandas principal-component-analysis python scikit-learn seaborn
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matplotlib numpy pandas python seaborn
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https://github.com/shibam120302/indian_sign_language_translator
This repository consists of the code utilized for creation of an Indian Sign Language Translator satisfying the following criteria : Near-Real-Time Application Achieve background independence Attain Illumination independence
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https://github.com/mzayles/report_consolidado_analise-descritiva
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matplotlib numpy pandas python
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https://github.com/khaymanii/credit-card-fraud-detection-model
This model was built using python and Logistic Regression Machine Learning algorithm
matplotlib numpy pandas python sckit-learn
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https://github.com/bhavna-kale/cars-eda-project
Project analyzing used car market data to identify high-impact price drivers and depreciation curves, presented through an interactive web application.
data-analysis excel matplotlib numpy pandas python3 searborn streamlit
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anaconda class classification-algorithm data-science dataanalysis kaggle machine-learning machine-learning-algorithms matpolotlib numpy pandas python python3 seaborn
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This repository contains helpful guides and materials for easily understanding Pandas, NumPy, and Matplotlib libraries, which are essential tools for creating visual representations of data.
algorithms machine-learning-algorithms matplotlib numpy pandas
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Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
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ai artificial-intelligence biology deep-learning devops evolutionary-algorithms machine-learning mlflow mlops numpy python3 pytorch reinforcement-learning simulation torch
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Data science python scripts
beautifulsoup4 numpy pandas python python-csv selenium selenium-webdriver statistics
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PlotChart is a web application created by the Python library Streamlit.
matplotlib numpy pandas python streamlit
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https://github.com/sanjanahombal/sentiment-analysis-using-neural-networks
This project explores sentiment analysis using neural networks
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https://github.com/ondiekelijah/data-analysis-udacity
Udacity Data Analysis Nano Degree course resources
jupyter-notebook matplotlib numpy pandas python
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https://github.com/khushi130404/catnet
CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.
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jupyter-notebook matplotlib numpy pandas python scipy turtle
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https://github.com/shhiivvaam/traffic_prediction
This project explores the application of advanced neural network architectures, including Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU), to forecast traffic volume. 👍👍✅
conv1d conv2d keras lstm matplotlib numpy pandas seaborn sklearn statsmodels tensorflow
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https://github.com/kareem74x/data-mining-uni-project
A project focused on applying data mining techniques to extract insights from datasets
data-mining matplotlib numpy pandas python
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https://github.com/saopicc/ddfacet-kernels
Modular implementation of the DDFacet Gridding Kernels
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https://github.com/k-ilyas/ai-projects-handwritten-digit-recognition-titanic-survivor-analysis
AI Projects: Handwritten Digit Recognition & Titanic Survivor Analysis using scikit-learn
machine-learning numpy pandas sickit-learn
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https://github.com/akashash01/random_forest
It enable learning method for classification, regression and other task. Operates by building multiple decision tree ay training time. It is much more robust than Decision Tree algorithm.
data-science machine-learning numpy pandas python random-forest-classifier sklearn supervised-learning
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https://github.com/raduldev/datasciencepython
Interview Task From CSIR-IGIB, Delhi & maps for journal
biopython colab-notebook counter jupyter-notebook matplotlib numpy pandas
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https://github.com/urvee1810/market_basket_analysis
A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy
apriori-algorithm data-mining data-visualization machine-learning market-basket-analysis matplotlib mlxtend numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/tnleite/credit-card-customer-clustering
Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.
classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn
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https://github.com/lorenzorottigni/ml-titanic
Machine Learning python bootcamp: logistic regression on titanic dataset
ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/techcsispit/algorithmic-trading
This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.
matplotlib numpy pandas python sklearn
Last synced: 04 Sep 2025
https://github.com/shreenidhi7700/skimlit-project
Natural Language Processing Project -SKIMLIT
google-colab lstm-neural-networks numpy pandas python3 rnn-tensorflow tensorflow
Last synced: 09 Apr 2026
https://github.com/sumitkundu102022/ecobuddy
EcoBuddy: Personalized Carbon Footprint Tracker
bcrypt numpy pandas plotly pymongo python-dotenv requests streamlit
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https://github.com/klihe/astar-visualization
I am trying to implement *a path finding algorithm and create a visualization of it with Python and numpy library
algorithm astar-algorithm numpy pathfinding pygame python visualization
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https://github.com/algoscienceacademy/imageprocessingpython
Image processing python code
matplotlib numpy pathlib pil python scipy seaborne
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https://github.com/rishabhmathur06/data_analysis-netflix
data data-analytics data-science matplotlib-pyplot numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/rnuv/artificial-neural-network
A Simple 2 layered Artificial Neural Network library made from scratch in Python and NumPy. Fitted with a feed forward method and backpropagation.
neural-network numpy python tensorflow
Last synced: 18 Mar 2025
https://github.com/rudrodip/timmygrad
scalar value gradient descent optimizer
backpropagation gradient-descent multilayer-perceptron-network neural-network numpy python3 pytorch
Last synced: 09 May 2026
https://github.com/parth-jatav/super-store-analysis-project
The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.
data-analysis matplotlib numpy pandas python super-store
Last synced: 12 Apr 2026
https://github.com/bilalm04/autonomous-lane-detection
An autonomous lane detection system leveraging OpenCV to process images and videos, accurately identifying lanes and providing key visualizations.
artificial-intelligence computer-vision lane-detection machine-learning matplotlib numpy opencv python
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https://github.com/itssahilwhat/AI-Fundamentals
A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.
computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn
Last synced: 02 Jul 2025
https://github.com/mahmoudnamnam/superstore-analysis
This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.
clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-vertical-bar-graph
A demo of creating a 3d vertical bar graph.
3d bar graph matplotlib numpy pandas python vertical web
Last synced: 03 May 2026
https://github.com/gyselle-marques/reconhecimentofacial-desafiodio
Machine Learning: Sistema de Reconhecimento Facial criado com OpenCV e YOLO11.
colab-notebook dataset dio-bootcamp face-detection face-recognition image-classification machine-learning numpy object-detection opencv opencv-python portuguese-brazilian python transfer-learning yolo yolov11
Last synced: 12 Apr 2026
https://github.com/lmizner/codecademy_life_expectancy_gdp
Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn
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https://github.com/pakagronglb/istanbul-restaurant-tips-prediction
This project focuses on predicting restaurant tips in Istanbul using machine learning techniques, specifically Linear Regression. The analysis includes data preprocessing, exploratory data analysis (EDA), model training, and evaluation.
kaggle matplotlib numpy pandas prediction python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/ebrahimar/ai-voice-cloner-xtts-v2
A Streamlit web app for AI-powered voice cloning using Coqui XTTS v2. Record or upload reference voices, clone speech in multiple languages, and generate natural audio outputs.
ai-voice coqui-tts deep-learning json multilingual-tts numpy pydub python speech-synthesis streamlit text-to-speech tts-model voice-cloning xtts-v2
Last synced: 03 May 2026
https://github.com/beberiche/jeon-woo-chi
지역 축제를 기반으로 하는, 게이미피케이션을 접목시킨 지역 상권 맞춤 추천 서비스
aws django docker elasticsearch grafana jenkins kibana logstash numpy pandas phaserjs prometheus react react-query recoil redis spring-boot tensorflow typescript zipkin
Last synced: 10 Mar 2026
https://github.com/niteshchawla/yulu-hypothesistesting
Yulu has recently suffered considerable dips in its revenues. They have contracted a consulting company to understand the factors on which the demand for these shared electric cycles depends. Specifically, they want to understand the factors affecting the demand for these shared electric cycles in the Indian market.
hypothesis-testing matplot numpy pandas-library scipy-stats seaborn
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https://github.com/2100031988/programming_for_aiml_codes
All of my descriptive code are published here and is updated everyday as I learn new concepts
dataset numpy pandas pipeline python visual-studio visualization
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https://github.com/crispengari/numpy
💎 The core concept of numpy arrays
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https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app
An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.
dataanalytics matplotlib numpy pandas python seaborn streamlit
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https://github.com/data-analysis-python/pandas_api_spark
Uso del API de pandas en Spark
envs jupyter-notebook matplotlib numpy pandas pyspark python3 terminal
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https://github.com/jpcano/boston_housing
Predicting Boston Housing Prices using supervised Machine Learning algorithms
cross-validation machine-learning numpy pandas python regression-models scikit-learn
Last synced: 12 Apr 2026
https://github.com/themihirmathur/soiligator
Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.
auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine
Last synced: 12 Apr 2026
https://github.com/emhash/machine-learning-and-ai
Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.
ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow
Last synced: 05 Jan 2026
https://github.com/dmarks84/coursework_project_ml-classification
Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics
classification communication data-modeling dataframes numpy pandas python scikit-learn supervised-ml
Last synced: 11 Apr 2026
https://github.com/armahdavi/mlops
Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.
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https://github.com/doondigangadhar30/ghiblify-animeganv3
A creative tool that generates beautiful Ghibli-style artwork from your image input.
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Last synced: 01 Jul 2025
https://github.com/yasharmaster/coursera-deep-learning
Deep Learning Specialization by Andrew Ng on Coursera.
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Last synced: 11 Apr 2026
https://github.com/filip-kustura/python-covid-19-behaviors-analysis
Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.
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https://github.com/reubenmathew/docscanner
📸 Document Scanner using an OpenCV Edge Detection Engine
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https://github.com/katerynazakharova/machine-learning
Example of a ML algorithm.
gradient-boosting-classifier gridsearchcv machine-learning ml numpy pandas python3
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https://github.com/ferasaljoudi/driverdrowsinessdetection
Driver Drowsiness Detection using Machine Learning
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https://github.com/junaidsumsaal/advanceparkingsystem
Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.
axios-react chakra-ui-react data-science met metrics ml numpy pand python3 react sklearn tailwindcss typescript
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https://github.com/fabricioarendtorres/streamauc
Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..
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https://github.com/nikhil-donthusaram/heartdiseaseprediction
Heart Disease Prediction App is a machine learning web application that predicts the likelihood of heart disease based on user medical inputs. Built using a Decision Tree Classifier and deployed with Streamlit for an interactive, user-friendly interface.
data-analysis descision-tree joblib jupyter-notebook machine-learning matplotlib numpy pandas python3 seaborn sklearn streamlit vscode
Last synced: 11 Apr 2026
https://github.com/richardbmk/datascience_machinelearning
projects related with data science and machine learning projects.
data-science machine-learning matplotlib numpy pandas scikit-learn scipy seaborn
Last synced: 11 Apr 2026
https://github.com/lorenzorottigni/ml-universities
Machine Learning python bootcamp: K mean clustering with public/private universities dataset
k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/lorenzorottigni/ml-random
Machine Learning course of Piero Savastano 7: matplotlib, accuracy_score, precision_score, recall_score, f1_score, classification_report
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https://github.com/mpoojithavigneswari/bangalore-house-price-prediction
This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.
data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/alisonmitchell/countries-of-the-world
Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).
data-science machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/visu512/spotify-music-recommender
Built Spotify Music recommendation system using Machine learning
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Last synced: 12 Apr 2026