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: 2026-07-05 00:18:00 UTC
- JSON Representation
https://github.com/lorenzorottigni/ml-movies
Machine Learning python bootcamp: Recommender Systems on movies dataset
ipynb machine-learning numpy pandas python recommender-system scikit-learn seaborn
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https://github.com/paulo-santos-ds/visao_computacional
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keras numpy pandas plotly python restnet50 sklearn tensorflow
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https://github.com/al-ghaly/prosper-loans-analysis
A statistical Analysis Project, to analyze the data of a finance company’s loans Using Python packages (pandas – NumPy – seaborn – matplotlib)
data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics
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data-visualization jupyter-notebook matplotlib numpy pandas-dataframe powerbi python seaborn sql
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genetic-algorithm grid-world machine-learning numpy pygame q-learning
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data-cleaning-and-preprocessing data-manipulation-with-pandas inferential-statistics kaggle-dataset numpy pandas-python python zomato-data-analysis
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Artificial Neural Networks in Python
ai artificial-intelligence artificial-neural-networks machine-learning numpy numpy-library python3 tensorflow tensorflow2
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arima financial-forecasting numpy pandas sarima xgboost
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This analysis provides insights into customer preferences and restaurant performance on Zomato. The visualizations and findings can help Zomato make informed decisions to improve customer experience and tailor their offerings.
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My Machine Learning Blog
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n_gram model implementation with numpy only
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🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only numpy and no TensorFlow, Keras, or PyTorch.
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Demonstration of skills analyzing data from a pet shelter. The CSV data contains tables detailing the incoming and outgoing animals and I use my knowledge of Pandas to gather and present the requested information.
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Profile Python methods without changing your code
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Numpy_Basics
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Learn Numpy step by step
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Iniciando com NumPy e Matplotlib
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deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy
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Perform a numpy array transformation intuitively by giving simple patterns.
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goldbach-conjecture matplotlib numpy python3 tkinter-gui
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A Terminal-Based game made in Python that emphasises upon the use of OOPs concepts. Python | NumPy | Game Development
game-development numpy python3
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This is the python code for teaching high school students python
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Calibration and deembedding for impedance measurments on PCB cells
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Manage easily 1 or multidimensionnal samples numpy arrays that are time related. Extends numpy without removing any of it's abilities on such arrays.
numpy python time-series-analysis
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data-science numpy pandas python
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https://github.com/erikbavenstrand/neural-network-implementation
An Artificial Neural Network Implementation in Numpy to work with MNIST dataset.
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https://github.com/rishant/data-science-learning-2025
data science learning 2025
data-science jupyter numpy pandas python python3
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https://github.com/yanyan69/acss-techlaro
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https://github.com/ronverse17/automate-data-cleaning
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All my note about ML, AI and Data Science
ai machine-learning numpy pandas scikit-learn
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https://github.com/hadson0/chess-live-ratings-data
A study project focused on web scraping the live chess ratings from chess.com, with data analysis and visualization on nearly 5000 players in the classical world ranking.
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Last synced: 28 Apr 2026
https://github.com/dwade-eng/amazon-product-recommender-prototype-
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https://github.com/anshpg/popularity-based-book-recommendation-system
I developed a popularity-based book recommendation system using Google Colab, leveraging libraries like pandas, numpy, and matplotlib. The dataset was obtained from Kaggle.com, consisting of three CSV files: books.csv, ratings.csv, and users.csv.
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https://github.com/thekartikeyamishra/interactive-ai-model-trainer
A Google Colab notebook for interactively training simple AI/ML classification models. Features CSV upload, dummy data generation, feature/target selection, model choice, and basic evaluation. Includes a user-friendly UI. Ideal for educational purposes. See screenshots below!
google googlecolab ipywidgets matpl numpy pandas python scikit-learn seaborn
Last synced: 29 Apr 2026
https://github.com/flashdroid15/food_safety_security_dtp3
Modelling food safety and food security using Python
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Using Statistics and Data Science Project in Python using Google Colab tools, CVS and XLSX
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Last synced: 29 Apr 2026
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Last synced: 29 Apr 2026
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📑 Check similarity between documents using td-idf and cosine similarity.
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Last synced: 29 Apr 2026