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/farzeennimran/or-and-and-gates-using-perceptron-learning
Training single-layer perceptrons to get the outputs of OR and AND logic gates.
data-science gates machine-learning neural-network neural-networks-from-scratch numpy perceptron-learning-algorithm perceptron-neural-networks python
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https://github.com/beaprogrammer02345/amazon_webscraping_data
beautifulsoup4 jupyter numpy pandas
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https://github.com/lingumd/credit_risk_analysis
Machine learning models for predicting credit risk in LendingClub dataset.
balancedrandomforestclassifier classification-report cluster-centroids-undersampling confusion-matrix easyensembleclassifier get-dummies google-colab imbalanced-learn machine-learning matplotlib-pyplot numpy pandas pathlib randomoversampler scikit-learn smote smoteenn
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https://github.com/abhishek-k-git/soulmegle
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https://github.com/syedzaheerabbas/risk-analytics-with-python
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eda hypothesis-testing numpy pandas python risk-analysis seaborn
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https://github.com/shashwat9kumar/us-accidents-data-analysis
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https://github.com/psavarmattas/speechtotext
we shall build a very simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input.
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airflow dashboard data-analysis data-catalog data-engineering data-governance data-quality data-visualization dbt ifood lgpd matplotlib numpy observability-data pandas pipeline pyspark redis seaborn streamlit
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https://github.com/broodhoney/blue-book-for-bulldozers
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https://github.com/niteshchawla/clustering-ml
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https://github.com/orliluq/inmersion-datos-python
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https://github.com/felixamaladhas/amazon-reviews-sentiment-analysis
This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.
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https://github.com/lmizner/codecademy_nba_trends
Investigate whether there is an association between two variables
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this is a blue colour detector in keras and tensorflow
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https://github.com/yuvrajsaraogi/sales-prediction-using-python
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data data-analysis data-science data-visualization machine-learning matplotlib natural-language-processing numpy pandas prediction python sales-prediction-using-python sql
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https://github.com/compcode1/nfl-analysis
The objective of this analysis was to explore potential correlations between player attributes (such as average age and weight across different positions) and key team performance metrics from the 2023 NFL season.
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Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.
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🏘️ Project Predicting House Prices (Python)
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https://github.com/thoughtscript/python_api_2023
Some fun with Flask, Python, and Machine Learning
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https://github.com/arnoldchrisoduor1/potato_disease
Trained a CNN to detect the presence and the current stage of Blight disease in potatoes, WebApp in FastAPI and React
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Basic neural network built using Python and Numpy. Created to better understand neural networks.
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Solution to 450+ Data Science Tech Stack questions essential for Data Analysts and Scientists!
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https://github.com/abdul-rafay19/california-housing-price-prediction
This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.
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Sk-learn practice using Linear Regression, ML workflow practice.
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Smart Dynamic Parking Price Optimization System that adjusts parking fees in real-time based on demand, traffic, and competition. It employs adaptive pricing models and rerouting logic to enhance parking utilization and reduce congestion. The system is visualized via an interactive Streamlit dashboard, enabling users to simulate dynamic pricing.
bokeh bokeh-server bokehplots capstone-project data dataset deployment machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot mlproject normalisation numpy pandas pathway python streamlit
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https://github.com/merekat/ml-shortcut-library
A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development.
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https://github.com/kenatsf/basic_data_analysis
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https://github.com/paulo-santos-ds/visao_computacional
O sistema utiliza inteligência artificial para analisar documentos e características físicas dos visitantes, garantindo que apenas maiores de 18 anos possam acessar as áreas de jogos
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Last synced: 05 Apr 2026
https://github.com/faraazarsath/guvi-task-4
This repository contains Python scripts for assessing and categorizing student performance data from two CSV files. The tasks include categorizing students based on their CodeKata scores.
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https://github.com/ayu-ano/basic_object-detection
End to End Basic object Detection using Open CV
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https://github.com/noopur-phadkar/botnavigator
BotNavigator utilizes the A* (A-Star) algorithm for pathfinding, leveraging Python along with libraries such as Matplotlib and Numpy for efficient array operations and visualization. This innovative solution optimizes robotic navigation within warehouse environments, enhancing operational efficiency and scalability.
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https://github.com/linggarm/lvq-and-elm-with-iris-dataset
Implementation of Learning Vector Quantization (LVQ) and Extreme Learning Machine (ELM) with Iris Dataset
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https://github.com/amdjadouxx/my_neural_network
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https://github.com/rhazra-003/modelinglab
Assignment - Solution of Modeling Lab of 7th Semester (Batch of 2023) of NIT Durgapur
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Last synced: 19 Apr 2026
https://github.com/jcardonamde/reto_cobranzas_sector_financiero
This project analyzes data provided by the organization iData, focusing on the collection process of a financial company. The objective is to develop segmentation strategies that enhance portfolio recovery and improve debt management.
data-science kmeans-clustering machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn
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https://github.com/mwoss/opencv-raspberry-pi
Video capture on Raspberry Pi/PC using OpenCV
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https://github.com/csanri/simplenn
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This project focuses on modelling the attacking and defensive strength of teams in the Portuguese First League of Football, along with the impact of home advantage.
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Machine Learning Libraries Repository
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https://github.com/yanisdib/somint
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