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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/tansudasli/analytics-sandbox
from Statistical approach to Machine learning
feature-engineering machine-learning matplotlib numpy opencv pandas probability regex scikit-learn seaborn statistics
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https://github.com/akash-rajak/image-noise-remover
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https://github.com/henriqueotogami/curso-de-python3-udemy
Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.
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https://github.com/anvesham/machinelearning_models_using_matlab
Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers
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https://github.com/ryannapp12/quant_trading_engine
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https://github.com/varshneydevansh/machinelearning-101
This repository is about various Algorithm's and Implementations in ML
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https://github.com/neetigyab/pdfreader
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https://github.com/wenlu057/deep-learning-practice
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https://github.com/programmer-rd-ai/moviedatascraper
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https://github.com/platonn/comp-photography
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Everything Python
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matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/rifkyiqbal52/data-analytics-and-visualization-projects
used cars dataset analysis and visualization
descriptive-statistics inferential-statistics matplotlib numpy pandas python seaborn stats tableau-public
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https://github.com/jonad/titanic_exploratory_analysis
Exploratory Data Analysis on Titanic Dataset
jupyter-notebook numpy pandas python3
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https://github.com/sugha22/data_analysis
Actively upskilling in data science with hands-on learning during a Green Internship focused on environmental sustainability. Used Pandas and NumPy for data preprocessing and cleaning, and created visual dashboards in Excel and Tableau. Gained experience in interpreting sustainability metrics and communicating insights through data storytelling and
data-cleaning data-collection data-storytelling data-transformation excel numpy pandas preprocessing sustainability-metrics tableau-dashboards visualization
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computer-vision lane-detection matplotlib-pyplot numpy opencv python3
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Last synced: 04 May 2026
https://github.com/pedasoft-consult/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
machine-learning matplotlib numpy pandas python seaborn sklearn
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https://github.com/0nom4d/308reedpipes
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coverage epitech epitech-project matplotlib-pyplot numpy pytest python scipy
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OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON
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machine-learning matplotlib numpy pandas python seaborn
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https://github.com/lruizap/tomography-with-algebraic-topology
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https://github.com/anushkundu/crime-pattern-analysis
Analyzing Crime Patterns in Montgomery County, USA: An Inclusive Study Based on NIBRS Data (2016-2022)
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https://github.com/muthupillai1204/diwali_sales_analysis
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https://github.com/sahaninilesh/future_ds_01_social-media-sentiments-analysis
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https://github.com/tsungtsetu122/patternrecognition-gnn-node-classification
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https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization
A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.
dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python
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https://github.com/hms75/movie_rating_analysis
A movie rating analysis which identifies trends amongst a dataset of 5000 movies.
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Last synced: 05 May 2026
https://github.com/eshansugeesh/fico-score-loan-default-modeling-project
Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.
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https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies
This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.
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Analysis of 50,000+ veterinary medicine records with Pandas and NumPy, highlighting dosage forms, manufacturers, indications, and shelf life trends.
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https://github.com/toxe/python-plotting
Python Plotting
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Last synced: 06 May 2026
https://github.com/billgewrgoulas/recommendation-systems
Algorithms for joke rating prediction using the joke data-set from Kaggle.
algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi
Last synced: 06 May 2026
https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda
Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.
data-analysis data-science data-visualization eda matplolib numpy pandas python
Last synced: 06 May 2026
https://github.com/andrewsy1004/logistic-regression-spam-classifier
This project implements a spam email classifier using Logistic Regression.
Last synced: 06 May 2026
https://github.com/mikma03/datascience_python_datacamp
DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.
data-analysis data-science datacamp datascience numpy pandas python
Last synced: 06 May 2026
