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/shhiivvaam/traffic_prediction
This project explores the application of advanced neural network architectures, including Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU), to forecast traffic volume. 👍👍✅
conv1d conv2d keras lstm matplotlib numpy pandas seaborn sklearn statsmodels tensorflow
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https://github.com/epsoft/embedding
Embedding
adam dense embedding flatten itertools numpy onehotencoder optimizers pandas sequential tensorflow
Last synced: 12 Apr 2026
https://github.com/jillmpla/pythonxmldatabase
A Python & XML database application for a book collection.
database matplotlib numpy pandas pandas-dataframe python xml
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https://github.com/bhiogade/hpi-analysis
House price index (HPI) Analysis
data-analysis data-cleaning data-visualization gathering-data numpy pandas-python
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https://github.com/sadegh15khedry/creditcard-transaction-anomaly-detection-using-isolationforest
detecting fraudulent transactions in credit card data using anomaly detection techniques.
anomaly-detection matplotlib numpy pandas python seaborn sklearn
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https://github.com/marvin-vw/3dengine_python
3D engine written in Python using OpenCV and NumPy
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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/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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data-analysis deep-learning joblib machine-learning nlp-machine-learning numpy pandas python scikit-learn tkinter
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https://github.com/tebogoyungmercykay/mathematical_modelling_in_python
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
clock counter differential-equations equations-and-plotting growth-factor is-sorted lamda-expressions linearization logistic-difference-equations mathplotlib numpy pell-recursive polyfit python recursion rieman-sums sympy
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https://github.com/shibam120302/indian_sign_language_translator
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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.
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In this repository I have Added my handwritten python codes to master the language and includes all the basic concepts of python.
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https://github.com/RedInfinityPro/AI_projects
Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.
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https://github.com/sofiaalmaz/fanfictionproject
Анализ фанфиков по Гарри Поттеру с целью написания самого популярного фанфика
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https://github.com/khushi130404/catnet
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https://github.com/fabricioarendtorres/streamauc
Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..
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https://github.com/visu512/spotify-music-recommender
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https://github.com/22p31a0512/sentimental-analysis
Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.
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https://github.com/shohail-dev/ai-medical-model
keras matplotlib numpy pandas pyplot scipy sklearn-metrics tensorflow
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https://github.com/andrewzhoumq123/sci_graph_api
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Last synced: 12 Apr 2026
https://github.com/chandkund/sentiment-analysis-using-nlp
This project focuses on Sentiment Analysis using the textual content from product reviews. The goal is to analyze user sentiments based on their written feedback, particularly focusing on the "reviewText" column in the dataset.
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https://github.com/soumyapro/heart-disease-prediction
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logistic-regression numpy pandas simpleimputer sklearn
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https://github.com/nakshjainsonigara/football-eda
This EDA offers a comprehensive exploration of football analytics, leveraging Python libraries to analyze players, club games, and various other aspects of the sport. Through statistical analysis and visualization, we uncover insights into player performance, club strategies, and league dynamics providing valuable insights for football enthusiasts.
dash exploratory-data-analysis matplotlib numpy pandas plotly python scipy seaborn statistics
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https://github.com/abideen-olawuwo/house-prediction
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matplotlib numpy pandas seaborn sklearn
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https://github.com/hariprasath-v/av_job-a-thon-august-2022
Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.
exploratory-data-analysis klib machine-learning matplotlib numpy pandas pycaret-library regression seaborn sklearn
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https://github.com/harshit433/brain-tumor-classification
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artificial-neural-networks cnn-classification image-classification keras-tensorflow numpy pandas python transfer-learning
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https://github.com/abideen-olawuwo/logistic-regression-house-prediction
Using logistic Regression Model to predict house price
logistic-regression matplotlib numpy pandas python seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/linggarm/priority-task-selection-using-evolutionary-programming
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artificial-intelligence css evolutionary-algorithms evolutionary-programming flask html javascript machine-learning numpy python
Last synced: 12 Apr 2026
https://github.com/nilayhangarge/data-analysis-with-python
This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.
data-acquisition data-analysis data-analytics data-binning data-cleaning data-engineering data-fundamentals data-insights data-integration data-preprocessing data-science data-wrangling numpy pandas python
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This project utilizes deep learning to detect and classify brain tumors from MRI images. The primary objective is to determine whether a tumor is present and, if so, classify its type with high accuracy.
deeplearning keras numpy pandas python tensorflow
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mathematics numpy numpy-arrays
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https://github.com/supriya811106/twitter-sentiment-analysis
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https://github.com/2kabhishek/ml-primer
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https://github.com/trissim/polystore
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https://github.com/ahmedabdalkreem/skin-cancer
In this project we work to extraction features from Images using CNN and build the Neural Network to arrive the patient have skin-cancer Malignant or Benign.
cnn deep-learning matplotlib neural-network numpy pandas python3 sklearn-library
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https://github.com/marcelovilla/fire-congress-2019-tdf-talk
This repository contains the code used for the project presented in the "Fire activity on the Colombian Tropical Dry Forest: an environmental and social perspective" talk during the 8th International Fire Ecology and Management Congress.
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https://github.com/riya2624/heart-disease-diagnostic-analysis
Analyzed heart disease diagnostic data through an ETL process, ensuring data accuracy and readiness for analysis using Python (Pandas, NumPy, Matplotlib, Seaborn). Conducted comprehensive exploratory data analysis (EDA) to uncover trends related to heart disease rates by gender and age. Developed interactive dashboards with Power BI and Tableau
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https://github.com/liviuxyz-ctrl/financialportofoliosimulator
FinancialPortfolio is your financial planning ally, helping you manage portfolios, calculate future values, and visualize performance, all with user-friendly ease🚀
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https://github.com/subhamsarangi/pdnp
Data Analysis using Python
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https://github.com/ben854719/wasde-revenue-in-2024
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https://github.com/purcellcjp/credit-risk-classification
This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.
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https://github.com/necraul/perlin-noise-py
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https://github.com/frolov-andrey2405/prime-numbers-and-polar-coordinate-system
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https://github.com/francislauriano/chatsoftex
Plataforma desenvolvida em Python que visa automatizar e agilizar o processo de avaliação de projetos de inovação tecnológica, utilizando inteligência artificial e critérios padronizados com base na Lei do Bem.
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https://github.com/asuquoaa/cdc_2017_immunization_data_analysis
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https://github.com/ewdlop/computational-physcis-notes
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Live Data Analyst Projects.
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