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/adarshpheonix2810/fake-job-post-detection
This project focuses on detecting fake job posts using machine learning. Fake job advertisements are often created to scam individuals by stealing personal information or money.
data-analysis deep-learning joblib machine-learning nlp-machine-learning numpy pandas python scikit-learn tkinter
Last synced: 12 Apr 2026
https://github.com/kr1shnasomani/DeepDetect
Traffic light, vehicle and human detection from aerial images using YOLOv8 model and Computer Vision
computer-vision deep-learning neural-network numpy opencv yolov8
Last synced: 03 Sep 2025
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/shahsuvarli/election-voters-data-analysis-pandas
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cleaning data grouping matplotlib numpy pandas python visualization
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https://github.com/winterwind/housingpricesproject
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csv csv-files data-science decision-tree gradient-descent jupyter jupyter-notebook knearest-neighbors knn linear-regression linear-regression-scratch machine-learning matplotlib matplotlib-pyplot numpy pandas python random-forest regression sklearn
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https://github.com/khushi130404/echobot
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keras nlp nltk numpy pickle tensorflow
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matplotlib numpy oop-principles pandas-dataframe postgresql psycopg2 python-3 regex-pattern seaborn threading tkinter-gui
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https://github.com/mark1708/neurointerfaces-of-information-systems
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numpy pandas python scikit-learn
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Exploratory Data Analysis of the Streaming Services like Neflix, Hulu, Disney+ etc
data-analysis exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python seaborn
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https://github.com/georgehanymilad/online-payments-fraud-detection
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anaconda class classification-algorithm data-science dataanalysis kaggle machine-learning machine-learning-algorithms matpolotlib numpy pandas python python3 seaborn
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Performing Exploratory Data analysis for loan application approvals and understanding Risk analytics
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Deep Learning Framework built entirely using numpy
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arima-modeling data-visualization exploratory-data-analysis matplotlib numpy pandas pmdarima python scikit-learn seaborn statsmodels time-series-analysis trend-analysis
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https://github.com/yousefalaaali/video-game-sales
Data Analysis Project - Video Game Sales
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https://github.com/manojkp08/student-performance-analysis
The Student Performance Analyzer is your go-to solution for understanding and improving student performance. By blending the power of machine learning with interactive visualizations, this tool provides educators and learners with personalized insights into learning styles, performance gaps, and actionable improvements.
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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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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
ΠΠ½Π°Π»ΠΈΠ· ΡΠ°Π½ΡΠΈΠΊΠΎΠ² ΠΏΠΎ ΠΠ°ΡΡΠΈ ΠΠΎΡΡΠ΅ΡΡ Ρ ΡΠ΅Π»ΡΡ Π½Π°ΠΏΠΈΡΠ°Π½ΠΈΡ ΡΠ°ΠΌΠΎΠ³ΠΎ ΠΏΠΎΠΏΡΠ»ΡΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π½ΡΠΈΠΊΠ°
analysis fanfics fanfiction harry-potter jypyternotebook matplotlib ml networkx numpy pandas python scipy seaborn streamlit wordcloud
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https://github.com/azaz9026/car_price_prediction_model
This repository contains a machine learning model designed to predict car prices based on various features. Using historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.
data-analysis data-engineering liner-regestion machine-learning modeling numpy pandas python3 rendering
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https://github.com/tugot17/linear-regression-from-scratch
Linear Regression concepts and intuitions presented using Jupyter Notebooks
from-scratch linear-regression numpy python
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https://github.com/alphan26/humidityregressor
This project involves developing a model to predict relative humidity using PyTorch. The model was trained on a dataset containing monthly data, with the goal of forecasting the relative humidity for the subsequent month.
matplotlib numpy pandas python pytorch
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https://github.com/khushi130404/catnet
CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.
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https://github.com/jeslipriya/emotion-detection
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https://github.com/c-mohammed-zaid/python
A diverse collection of Python projects showcasing skills in game development, data manipulation, and utility tools, including classic games, encryption, and data analysis.
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ΠΡΠΎΠ΅ΠΊΡΡ, Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΡΠ΅ Π½Π° Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½ΡΡ Python ΠΈ ΠΠ-ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅.
ab-testing matplotlib metrics numpy pandas python scipy seaborn visualisation
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https://github.com/chmohit91/Introduction-to-Python
A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners
matplotlib numpy pandas plotly python python-library python3 seaborn
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https://github.com/kareem74x/data-mining-uni-project
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https://github.com/ds-python-programmers-spectrum/flipkart-sentimental_analysis-app
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machine-learning nltk numpy pandas sentiment-analysis streamlit-webapp textblob vader-sentiment-analysis
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https://github.com/byteshiva/getmaplocation
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
csv-parser geopy json numpy pandas pandas-dataframe parser pickle python3 sqlite3
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https://github.com/akashash01/navie_bayes
It's an simple probabilistic classifiers based on applying Bayes theorem with strong independence assumptions between the features. Highly effective for text sequence oriented data(independent variables).
data-science machine-learning numpy pandas python sklearn supervised-learning
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https://github.com/akashash01/random_forest
It enable learning method for classification, regression and other task. Operates by building multiple decision tree ay training time. It is much more robust than Decision Tree algorithm.
data-science machine-learning numpy pandas python random-forest-classifier sklearn supervised-learning
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https://github.com/sayan520/titanic-data-insights
Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.
jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/rohitinu6/image_cartoonify
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https://github.com/arrmansa/leetcode-nice-solutions
Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be
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This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.
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Here we are going to learn data science and python by doing tasks by task
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https://github.com/shreenidhi7700/skimlit-project
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https://github.com/hrolive/fundamentals-of-accelerated-data-science
How to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.
accelerated-computing bokeh cudf cugraph cuml cupy dask data-science jupyter numpy pandas python rapids xgboost
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https://github.com/sumitkundu102022/ecobuddy
EcoBuddy: Personalized Carbon Footprint Tracker
bcrypt numpy pandas plotly pymongo python-dotenv requests streamlit
Last synced: 12 Apr 2026
https://github.com/naveen88112/healthcare
HealthCare Data Analysis and Forecasting This project examines healthcare data by processing missing values with KNN imputation, preprocessing features, and training classification models (Logistic Regression and Random Forest). The output includes performance metrics such as accuracy, confusion matrix, precision, recall, and ROC analysis.
data-visualization feature-engineering machine-learning model-evaluation numpy pandas python scikitlearn-machine-learning
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https://github.com/parth-jatav/super-store-analysis-project
The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.
data-analysis matplotlib numpy pandas python super-store
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https://github.com/apal21/tensorflow-linear-regression-fit-data
Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.
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https://github.com/mahmoudnamnam/superstore-analysis
This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.
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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/gyselle-marques/reconhecimentofacial-desafiodio
Machine Learning: Sistema de Reconhecimento Facial criado com OpenCV e YOLO11.
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EDA for Netflix Movies and TV Shows
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https://github.com/afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge
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https://github.com/ledsouza/python-powerbi
Desenvolver uma dashboard para anΓ‘lise do mercado financeiro utilizando Python e Power BI
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https://github.com/bearddan2000/python-web-3d-matplotlib-distribution-cumulative-graph
A demo of creating a 3d distribution cumulative graph.
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https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app
An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.
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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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Uso del API de pandas en Spark
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https://github.com/jpcano/boston_housing
Predicting Boston Housing Prices using supervised Machine Learning algorithms
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Last synced: 12 Apr 2026
https://github.com/themihirmathur/soiligator
Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.
auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine
Last synced: 12 Apr 2026
https://github.com/emhash/machine-learning-and-ai
Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.
ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow
Last synced: 05 Jan 2026