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/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
imageai keras numpy opencv pillow tensorflow
Last synced: 12 Apr 2026
https://github.com/grachale/convolution_image
The implementation of a function that takes an image (RGB or gray one) and a filter (kernel) and applies a convolution between them.
convolution image-processing numpy python
Last synced: 03 May 2026
https://github.com/mzayles/report_consolidado_analise-descritiva
💻📊✅ Curso de Programação em Python para Data Science | Mensuramento de dados com Matplotlib.
matplotlib numpy pandas python
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https://github.com/jvictor011/big-five-personality-test
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https://github.com/sultanazhari/prediction-model-of-customers-leaving
Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.
accuracy-score confusion-matrix logistic-regression-algorithm matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
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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
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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.
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https://github.com/maruf346/python-programs
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https://github.com/fnfkkengine/website-performance-data-analysis-project
🌐 Analyze website performance data to gain insights on user engagement, traffic trends, and optimize your digital presence effectively.
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https://github.com/l-gre/tradefx-ai
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The Flipkart Sentiment Analysis project aims to analyze customer reviews of Flipkart products using Natural Language Processing (NLP) and visualize insights through a Streamlit-based web application. This system will classify customer feedback as positive, negative, or neutral
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Automate Dummy data from the open data source. Parse International Address, Geopy to automate map locations using lat and lon, Cache geopy map location calls using sqlite3, Use Pandas to parse and convert CSV to JSON
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https://github.com/akashash01/navie_bayes
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https://github.com/akashash01/random_forest
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Exploratory Data Analysis of Cars in Python
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https://github.com/rohitinu6/image_cartoonify
To Cartoonify an Image using opencv-python
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https://github.com/arrmansa/leetcode-nice-solutions
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https://github.com/tigureis/aula_deployment
This project not only demonstrates a machine learning pipeline but also serves as a template for deploying models into production. By leveraging the project's structure and code, you can streamline the process of deploying your own machine learning models.
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https://github.com/dhruvv1402/x-twitter-bot-python
A Python-powered Twitter bot for content generation, analytics, and automation using Twitter API v2.
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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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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.
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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.
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Last synced: 07 May 2026
https://github.com/csengupta1101/housing-price-prediction
Based on given features , this project deals with the prediction of house prices. From data extraction till deployment , everything is detailed in here.
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https://github.com/mostafa-ghorab/global-happiness-analysis
An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.
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https://github.com/lmizner/codecademy_life_expectancy_gdp
Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
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https://github.com/yasharmaster/coursera-deep-learning
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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
Last synced: 11 Apr 2026
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/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/rishieeee/spam-email-classifier
A simple machine learning project that classifies emails as spam or ham using TF-IDF and a Multinomial Naive Bayes model. The project covers data cleaning, text preprocessing, feature extraction, model training, and evaluation. A great beginner-friendly introduction to NLP and ML workflows.
multinomial-naive-bayes numpy pandas python sckit-learn tf-idf
Last synced: 09 May 2026
https://github.com/gregoritsch3/project_radioactive_decay
An analytic ( system of coupled ODEs), numeric (Runge-Kutta 4, Newton-Raphson) and stochastic (Monte Carlo) treatment of the chained radioactive decay of Bi[210, 83] into Po[210,84], as well as the emission of alpha-particles. Associated comments and paper are in Croatian.
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https://github.com/jpcano/boston_housing
Predicting Boston Housing Prices using supervised Machine Learning algorithms
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https://github.com/themihirmathur/soiligator
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https://github.com/lorenzorottigni/ml-universities
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https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff
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Last synced: 02 Apr 2026
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https://github.com/akashkg03/feynn-labs-internship
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https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning
🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.
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https://github.com/elmezianech/email-spam-ham-classifier-nb-hard
Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.
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https://github.com/richardbmk/datascience_machinelearning
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