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/saifalibaig/-online-retail-exploratory-data-analysis-with-python
Exploratory Data Analysis of an online retail store
data-analysis data-visualization matplotlib numpy pandas python3
Last synced: 11 Apr 2026
https://github.com/nirmaldeepponnada/codeclauseinternshipproject1
This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.
kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer
Last synced: 11 Apr 2026
https://github.com/batthulavinay/which-anime-dominates-the-world
This Kaggle notebook analyzes the global popularity of anime across different countries. Using data visualization and statistical insights, we explore which anime dominate in various regions and uncover trends in global anime consumption.
data-visualization exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 24 Mar 2025
https://github.com/aaaastark/textclassification-nlp-project
Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV
matplotlib nltk numpy pandas python seaborn sklearn textblob wordcloud
Last synced: 11 Apr 2026
https://github.com/lorenzorottigni/dl-lending-club
Deep Learning python bootcamp: deep learning on Lending Club dataset
deep-learning ipynb keras machine-learning numpy pandas python scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/jagroop2001/learning-numpy
Learning NumPy complete the exercise
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https://github.com/ritwika-das-gupta/flight_price_prediction
Flight price Prediction is made using decision tree model and Machine learning concepts
cross-validation data-science data-visualization desiciontree flask gridsearchcv html-css-javascript hyperparameter-tuning json machine-learning matplotlib numpy pandas pickle python scikit-learn sklearn statistics supervised-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/ferasaljoudi/driverdrowsinessdetection
Driver Drowsiness Detection using Machine Learning
drowsiness-detection keras-tensorflow machine-learning matplotlib numpy pandas python pytorch tensorflow
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https://github.com/nitesh648singh/chat-sentimental-analysis-
matplotlib numpy pandas seaborn
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https://github.com/kaguya163/marketing_campaigns
Анализ маркетинговой эффективности в спортивном ритейле.
ab-testing machine-learning matplotlib numpy pandas python scikit-learn scipy sqlite3
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https://github.com/vansh-py04/convolution-net-from-scratch
A minimal NumPy-based implementation of a 3-layer convolutional neural network (CNN) from scratch — including custom forward and backward passes for conv, ReLU, pooling, affine, and softmax layers. Perfect for learning how CNNs actually work under the hood.
backpropagation cnn computer-vision convolutional-neural-networks cs231n cs231n-assignment deep-learning from-scratch from-scratch-in-python fully-connected-network machine-learning maxpool2d nueral-networks numpy softmax stanford-deep-learning
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https://github.com/dyarleniber/hands-on-machine-learning
This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.
ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow
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https://github.com/sudarsann27/basic_machine_learning_algorithms
Basic Machine learning algorithms using scikit-learn and other fundamental libraries
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https://github.com/coderjolly/employee-information-retrieval-system
An information retrieval system constructed using Flask to perform ETL operations while ingesting New York Payroll data and provide a frontend user interface for manipulating filters and queries.
etl flask mvc numpy pandas python sqlite3
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https://github.com/adi3042/sensor-fault-detection
🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech
classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv
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https://github.com/tanmay-312/pacman-game-python
"Embark on a nostalgic journey with my Python Pac-Man game! 🎮🕹️ Crafted using pygame, tcod, numpy, and enum libraries, it's a modern twist on a classic. Navigate the maze, chomp pellets, and evade ghosts in this retro-inspired adventure! 🚀👻 #PythonGameDev #PacManRevival #ClassicGaming"
enum game game-development gamedev numpy pygame pygame-games python python-3 python3 tcod
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https://github.com/lorenzorottigni/ml-spam-filter
Machine Learning python bootcamp: natural language processing with spam filter purposes
machine-learning npl numpy pandas python scikit-learn seaborn spam-filtering
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https://github.com/alphan26/breastcancerclassification
This project involves a binary classification problem where we applied PyTorch to detect breast cancer.
matplotlib numpy pandas python pytorch
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https://github.com/hmourad2023/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
Last synced: 01 Aug 2025
https://github.com/muhammad-rebaal/eda-with-python-and-pandas
Explore, Analyze, and Visualize Data with Python and Pandas: Dive into the world of data analysis and visualization using Python and Pandas with this repository. Discover valuable insights, clean and preprocess your data, and create stunning visualizations to make data-driven decisions.
calmap matplotlib numpy pandas python python3 seaborn
Last synced: 07 May 2026
https://github.com/psycho-poodle/simple_rnn_imdb
This repository contains a simple web application for sentiment analysis of movie reviews using a pre-trained RNN model. The application is built with TensorFlow and Streamlit, making it easy to use and deploy.
numpy python streamlit tensorflow
Last synced: 11 Apr 2026
https://github.com/nishantksingh0/twitter-sentiment-analysis
A ML/DL based Twitter sentiment analysis model based on Transformer based pretrained Encoding on sentence
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https://github.com/dane-meister/machine-learning-algos
Repository of several ML algorithms implemented for different environments and robot control vectors.
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https://github.com/blacksujit/neural_network_using_numpy_and_math
Inspired from a repo . i have implemented an some ground level maths and logic . In this neural network no tensorflow , pytorch is used it is just prepared by using numpy and some logical math.
algorithmic-composition basics-of-python calculus criticalthinking innovation machine-learning maths neural-network neuralnetworkusingnumpy numpy purebasics
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https://github.com/nickklos10/league-of-legends-match-predictor
Predicting League of Legends Match Outcomes Using Logistic Regression and PyTorch.
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https://github.com/yahiazakaria445/sentiment-analysis-using-lstm
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https://github.com/alaazameldev/text-based-search-engine
Implementation of a search engine using TF-IDF and Word Embedding-based vectorization techniques for efficient document retrieval
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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
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https://github.com/collins-kimotho/wrangle-and-analyze-project
Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data
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https://github.com/shahzaibdev355/house-recommendation-backend
House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.
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https://github.com/aleandropresta/data-science-projects
A collection of my Data Science projects
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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.
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https://github.com/rezapace/number-generator
Proyek ini adalah sebuah program yang digunakan untuk menghasilkan deretan angka dengan langkah tertentu dan menambahkan teks setelah setiap angka. Program ini mendukung berbagai metode untuk menghasilkan angka, termasuk penggunaan CuPy untuk memanfaatkan GPU, serta penggunaan threading untuk meningkatkan kinerja.
colab cupy custom generator jupiter kumal link number numpy pyhon webkumal webkumal-projek
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https://github.com/gustavoaca1997/placa-orificio-velocidad
script en python3 para obtener la velocidad de una placa orificio mediante tanteos
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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
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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/shudhanshusaurabh001/super_market-data-analysis-using-python
This project focuses on analyzing supermarket sales data using Python. The goal is to extract meaningful insights from the dataset, such as sales trends, customer purchasing behavior, and product performance.
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https://github.com/bearddan2000/python-web-3d-matplotlib-vertical-bar-graph
A demo of creating a 3d vertical bar graph.
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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
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https://github.com/waynewbishop/bishop-algorithms-quiver-package
Quiver is a Swift package that provides vector operations for Swift applications.
data-science linear-algebra numpy swift vectors
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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
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https://github.com/dataspieler12345/property-plotly-dashboard
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https://github.com/dragonscypher/sustaining-balance
Innovative Data Approaches for Food Security and Environment
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https://github.com/pthmhatre/smart-attendance-system-using-face-recognition
This project aims to create a smart attendance system using face recognition technology. The system captures and recognizes faces in real-time and marks attendance automatically, providing a seamless and efficient way to manage attendance records.
adafruit computervision css face-recognition iot iot-application javascript mysql numpy opencv php pickle python raspeberry-pi rfid
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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/shwetapardhi/assignment-3-q3-hypothesis-testing
Chi2 contengency independence test image of Buyer Ratio Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does v
chi2-contingency contingency-analysis hypothesis-testing norm numpy pandas python scipy stats
Last synced: 12 Apr 2026
https://github.com/djdhairya/car-accident-detection
csv cv2 geocoder geolocation keras math matplotlib numpy opencv pandas scikit-learn system tiwilo transformer
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Modular implementation of the DDFacet Gridding Kernels
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https://github.com/amirkh777/data-science-yandex-practicum
My projects from the Yandex Practicum Data Science course.
data-science matplotlib numpy pandas python scikit-learn scipy seaborn
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https://github.com/codeslash21/data_analyst_nanodegree
Notes and projects on Data Analyst Nanodegree.
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https://github.com/maruf346/python-programs
Here some basic python programs are uploaded. Find your needed one. Happy coding!
dict-python list-in-python numpy numpy-exercises pandas-python set-in-python tuples-in-python
Last synced: 16 May 2026
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Embedding
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https://github.com/iamkushvanth/marketing-campaign-analysis
Data analysis comparing the performance of Facebook and AdWords ad campaigns in 2019, Using Statical Methods such as A/B test focusing on clicks, conversions, cost-effectiveness, and seasonal trends.
ab-testing hypothesis-testing linear-regression matplotlib-pyplot numpy pandas python regression-analysis scikit-learn scipy stastistics
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https://github.com/mohith-2002/plotchart
PlotChart is a web application created by the Python library Streamlit.
matplotlib numpy pandas python streamlit
Last synced: 12 Apr 2026
https://github.com/prakshal0809/machine_learning_algorithms
This project showcases basic machine learning programs I developed during my studies, written in Python, intended for educational use or as a foundation for more advanced projects.
machine-learning matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/iadtya/hate-text-classification
Training RNN(LSTM) on Hate speech with tensorflow and keras
fastapi keras lstm nltk numpy pandas tenserflow
Last synced: 12 Apr 2026
https://github.com/sujit1011/air-quality-index-prediction
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https://github.com/jpcadena/ventas-facturas
Ventas con facturas
data data-analysis data-exploration data-extraction data-science excel feature-engineering matplotlib microsoft numpy pandas powerbi product-sales pylint python receipts sales
Last synced: 12 Apr 2026
https://github.com/kellsworks/data-science-python-scripts
Data science python scripts
beautifulsoup4 numpy pandas python python-csv selenium selenium-webdriver statistics
Last synced: 12 Apr 2026
https://github.com/marvin-vw/3dengine_python
3D engine written in Python using OpenCV and NumPy
Last synced: 04 Feb 2026
https://github.com/webintellectual/coloured-image-to-b-w-converter-web-app
A Streamlit web application to convert a coloured image to black and white image.
numpy opencv pil pillow python3 streamlit streamlit-webapp
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https://github.com/offthetab/matcha_code_generation
Fine-tunning MatCha model for better python matplot lib code generation by given chart.
fine-tuning huggingface matcha matplotlib numpy pandas pil sklearn torch
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https://github.com/gurpreet0022/unveiling-pcos
Data Driven approach to get insights about PCOS
analysis eda insights matplotlib numpy pandas python3 scipy-stats seaborn visualisation
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https://github.com/jvictor011/analise_de_dados_pokemon
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matplotlib numpy pandas python scipy
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https://github.com/alwaysvivek/next-word-prediction
🔮 Predicts the next word in a text sequence using either an N-gram statistical model or an LSTM-based neural network.
argparse laplace-smoothing machine-learning neural-network ngrams nlp nltk numpy python3 tensorflow
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https://github.com/amruta33/customer-support-on-twitter
The Customer Support on Twitter dataset is a large, modern corpus of tweets and replies to aid innovation in natural language understanding and conversational models, and for study of modern customer support practices and impact.
nlp numpy pandas python regex sklearn
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📈💰 Investment propensity prediction model
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Tutorial material on the scientific Python ecosystem in Russian
matplotlib numpy python scipy sympy
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https://github.com/winterwind/housingpricesproject
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https://github.com/khushi130404/echobot
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Exploratory Data Analysis of the Streaming Services like Neflix, Hulu, Disney+ etc
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api fastapi joblib machine-learning matplotlib numpy pandas pingouin pydantic scikit-learn seaborn streamlit uvicorn
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https://github.com/abideen-olawuwo/healthmonitor
A model for healthmonitor
knearest-neighbor-classifier logistic-regression matplotlib numpy pandas python random-forest-classifier seaborn sklearn
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https://github.com/allenvox/statistics
Workspace for applied problems of probability theory & mathematical statistics & modelling class
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https://github.com/manuelfay/numpydeeplearning
Deep Learning Framework built entirely using numpy
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https://github.com/nisch-mhrzn/book-recommender-system
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https://github.com/fimbres/emotion-recognition
This is an AI project developed in Python to recognize emotions in people.
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Last synced: 12 Apr 2026
https://github.com/urvee1810/eda-time-series
A comprehensive time series analysis of French retail quarterly sales data from 2012 to 2017. The project focuses on analyzing sales patterns, seasonal decomposition, and trend analysis using various statistical techniques and visualizations.
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https://github.com/manojkp08/student-performance-analysis
The Student Performance Analyzer is your go-to solution for understanding and improving student performance. By blending the power of machine learning with interactive visualizations, this tool provides educators and learners with personalized insights into learning styles, performance gaps, and actionable improvements.
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https://github.com/jvictor011/analise_de_precos_de_materias-primas_agricolas
Este projeto concentra-se na análise dos dados de preços de várias matérias-primas agrícolas ao longo do tempo. O conjunto de dados usado para esta análise é chamado de agricultural_raw_material.csv.
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https://github.com/parkjungyoon/til-data_study
✍ 데이터분석, 데이터베이스, 클라우드 컴퓨팅 등을 공부하고 기록하는 저장소 입니다.
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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/iris-seaborn_visualizacao-dados
💻📊✅ Curso de Programação em Python para Data Science | Gráficos utilizando a base de vendas da Seaborn e a biblioteca Matplotlib.
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https://github.com/mzayles/base_vendas_dataprep
💻📊✅ Curso de Programação em Python para Data Science | Preparando e tratando dados com Pandas e NumPy.
Last synced: 24 Mar 2025
https://github.com/jvictor011/big-five-personality-test
Usando machine learning para fazer o agrupamento de um sistema de traço de personalidade
matplotlib numpy os pandas python seaborn
Last synced: 07 May 2025
https://github.com/vikpires/ds_tips-dataset
Projeto individual do bootcamp de ciência de dados avanti 2024.2, com o objetivo de analisar e observar padrões no conjunto de dados "Tips".
data-analysis data-science data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn tips
Last synced: 17 Sep 2025