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: 2026-02-06 00:23:20 UTC
- JSON Representation
https://github.com/epsoft/nlp
NLP
farsi gru nlp numpy pandas persian tensorflow training word-indexer
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https://github.com/waghraj1699/sms-spam-detection
A web app to check wheather the messages are spam or not.
classification-algorithm data-preprocessing data-visualization machine-learning nlp numpy pandas
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https://github.com/nourmorsy/topic_modelling
jupyter-notebook numpy pandas python
Last synced: 31 Dec 2025
https://github.com/hms75/movie_rating_analysis
A movie rating analysis which identifies trends amongst a dataset of 5000 movies.
data-analysis data-visualization matplotlib-pyplot numpy pandas python
Last synced: 09 Apr 2025
https://github.com/ialam085/super_store_sales_analysis_python
The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.
charts matplotlib numpy pandas python seaborn visualization
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https://github.com/aqueeqazam/machine-learning-using-scikit
This repository contains all of the algorithms used to train the machine learning models using the Scikit library.
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https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage
Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations
Last synced: 13 Jun 2025
https://github.com/tushar365/titanic---machine-learning-from-disaster
"Titanic: Machine Learning from Disaster" is a classic Kaggle competition for beginners https://www.kaggle.com/competitions/titanic. The goal is to use machine learning to predict which passengers survived the sinking of the Titanic based on historical data. This teaches data analysis and model building skills in a real-world context.
data-science dicision-tree logistic-regression machine-learning matplotlib-pyplot numpy pandas python seaborn
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https://github.com/deanlogan/data-analysis-course
Code created when completing the Data Analysis with Python Course on freecodecamp.org
course data-analysis numpy pandas python python3
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https://github.com/dmarks84/coursework_project_boston-data-project
Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing
communication data-modeling data-reporting dataframes eda hypothesis-testing matplotlib numpy pandas probability python scipy seaborn statistics visualization
Last synced: 09 Apr 2025
https://github.com/sakshijain009/minor-project-ml-in-python
Exploratory Data analysis on data using python
matplotlib-pyplot ml numpy pandas python seaborn
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https://github.com/pdoup/atml-notebooks
Proposed assignment notebooks for Advanced Topics in Machine Learning tasks
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Getting started with Data science Numerical Analysis and Scientific Computing
hmmlearn ipynb jupyterlab keras numpy pandas python3 scipy tensorflow
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https://github.com/shahiakhilesh1304/fitbitcasestudy
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case-study data-visualization fitbit jupyter-notebook numpy python3
Last synced: 28 Feb 2025
https://github.com/mnitin-reddy/image-compression-using-k-means-clustering
This project implements the K-means algorithm for clustering and image compression. It reduces the number of colors in an image using K-means, achieving compression while maintaining key visual features. The project demonstrates the process on a sample dataset and a real image.
image-processing imagecompression kmeans-clustering machine-learning matplotlib numpy
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simple linear regression in python based on coursera andrew ng course
ai linear-regression machine-learning ml numpy python
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Create a collage from images with OpenCV
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https://github.com/harmanveer-2546/world-best-cities
Ranking of cities on social, environmental and economic factors.
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https://github.com/harmanveer-2546/sports-bets-winning-algorithm
Sports betting is the activity of predicting sports results and placing a wager on the outcome.
adaboostclassifier ascii betting-models ensemble extratreesclassifier gradientboostingclassifier kneighborsclassifier labelencoder matplotlib mlpclassifier nfl nflstats numpy pandas plotly python seaborn sports-data string winning-algorithm
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https://github.com/harmanveer-2546/predicting-schizophrenia-disorder
The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase
boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization
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https://github.com/harmanveer-2546/wafer-fault-detection
The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.
clustering data-transformation feature-selection machine-learning matplotlib numpy pandas python random-forest roc-auc-curve roc-auc-score seaborn sklearn svc xgboost
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https://github.com/harmanveer-2546/credit-card-fraud-detection
The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.
ann catboost-classifier eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xbg
Last synced: 28 Feb 2025
https://github.com/codersales/machine-learning-classification
machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4
authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation
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https://github.com/deepankkartikey/ml-projects
A repository of projects done while learning and exploring ML
classification csv machine-learning numpy pandas regression sklearn
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This project aims to design filters with a cyberpunk aesthetic by performing low-level image manipulation in Python.
computer-vision image-manipulation matplotlib numpy python
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Data Analysis On Dr. Visits dataset
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https://github.com/veb-101/deeplearning-specialization-coursera
My Solutions to the course Deeplearning.ai
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https://github.com/csengupta1101/rock-paper-scissor-game
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https://github.com/sonu275981/bengaluru_house_data
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https://github.com/abhishekbagdiya01/movies-recommendation-system
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aiml jupyter-notebook numpy pandas python scikit-learn
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https://github.com/abhisingam/brickbreaker
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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https://github.com/noluyorabi/bravais-pearson-interactive
Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.
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https://github.com/jkosla/neural_network_from_scratch_numpy
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https://github.com/rakesh3596/tutedude_projects
It consist of 3 major project 1:Covid19 Analysis 2:Rainfall Prediction 3:Tumor Detection
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https://github.com/loaiwalid07/portfolio
Loai Nazeer portfolio
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https://github.com/muazify/pyequationsolver
A Python script that solves mathematical equations for the variable 'x' using a hybrid approach, combining symbolic solving (for exact solutions) with numerical methods (for approximations when symbolic solving is insufficient).
equation-solver numpy python3 sympy
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A Statistical Analysis project in which I Performed an A/B test to analyze the effect of changing the user interface for an E-Commerce company's Website.
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https://github.com/yuu-eguci/cognitive-services-trial
Try to play with Cognitive Services!! [Cognitive Services] [OpenCV] [Numpy]
cognitive-services dotenv numpy opencv-python pipenv python python3
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https://github.com/jessicahora/series_temporais
Análise de Series Temporais do Consumo de Energia da Alemanha.
numpy pandas python time-series-analysis
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https://github.com/danishzulfiqar/predictive-maintenance-model-training
Model Training and Deployment Scripts for Predictive Maintenance.
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https://github.com/psavarmattas/covid19-dashboard
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appseed bootstrap covid covid-19 css dashboard django docker html javascript json numpy plotly python travis-ci
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https://github.com/bilgeswe/datascience
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https://github.com/kecnry/nparray
High-Level Wrappers for Building and Manipulating Numpy Arrays
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numpy pandas python sckit-learn
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decision-trees knn-classification machine-learning naive-bayes-classifier numpy sklearn
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https://github.com/vyjayanthipolapragada/image_cartoonification_opencv
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cartoonify computer-vision easygui image-processing imageio matlplotlib numpy opencv pillow python tkinter
Last synced: 18 Jul 2025
https://github.com/msikorski93/Linear-Regression-From-Scratch
Different solutions of linear and polynomial regression made from scratch.
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This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.
logistic-regression matplotlib numpy pandas-python random-forest-classifier svm-classifier
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https://github.com/elmezianech/classifyreviews_nlp
Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.
accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc
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https://github.com/dbriane208/python-for-data-science
Machine Learning and Data Science repository. Love crafting Machine Learning models.
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https://github.com/mchenryspagg/wrangle-and-analyze-data
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https://github.com/mchenryspagg/investigate_a_dataset
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data-analysis datetime descriptive-analysis descriptive-statistics exploratory-data-analysis numpy pandas pyplot python visualization
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https://github.com/navindafernando/lane-detection
Lane Detection with Image Feature Extraction Techniques :aerial_tramway:
image-feature-extraction kernel-filters machine-learning neighborhood numpy opencv sobel-filter
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https://github.com/navindafernando/character-recognition
Sinhala Character Recognition using KNN :coffee:
joblib knn-algorithm machine-learning matplotlib numpy opencv pillow tikiner-gui
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https://github.com/vuanhtuan1012/data-scientist-with-python
Notes on career track "Data Scientist with Python" at DataCamp
importing-data matlab numpy pandas python3 sqlalchemy
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https://github.com/farial-mahmod/nuclear-energy-generation-prediction-logistic-regression
Nuclear Energy Generation Prediction Logistic Regression project is aimed at predicting the nuclear energy generation based on the production (generation) data from 1991 to 2023 by using Logistic Regression.
energy kaggle logistic-regression machine-learning matplotlib nuclear-energy nuclear-power numpy power python3 sklearn
Last synced: 09 Apr 2025
https://github.com/kiarashyavari/python_interview
Practice intermediate to advance topics of Python here
decorators generator multiprocessing multithreading numpy pandas python python3
Last synced: 25 Mar 2025
https://github.com/iv4n-ga6l/Simple-Image-Segmentation
Simple implementation of image segmentation using the Watershed algorithm
imagesegmentation matplotlib numpy opencv python watershed-algorithm
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https://github.com/1adore1/pop-the-ball-game
Hand-tracking game where players use their hands to pop falling balls and earn points.
Last synced: 06 Sep 2025
https://github.com/soumyapro/house-price-prediction
Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.
linear-regression matlplotlib numpy pandas sklearn svm
Last synced: 31 Dec 2025
https://github.com/intscription/machine-learning
Machine Learning and it's advance concepts
adaboost numpy pandas pca-analysis pipeline random-forest scikit-learn svm
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https://github.com/jpcadena/ventas-facturas
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data data-analysis data-exploration data-extraction data-science excel feature-engineering matplotlib microsoft numpy pandas powerbi product-sales pylint python receipts sales
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https://github.com/anas436/ibm-cloud-data-analysis-of-cars
Exploratory Data Analysis of Cars in Python
ibmwatson matplotlib numpy pandas python3 seaborn
Last synced: 06 Jul 2025
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2
Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
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https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2
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Q11) Suppose we want to estimate the average weight of an adult male in Mexico. We draw a random sample of 2,000 men from a population of 3,000,000 men and weigh them. We find that the average person in our sample weighs 200 pounds, and the standard deviation of the sample is 30 pounds. Calculate 94%,98%,96% confidence interval?
confidence-interval normalization numpy pandas python scipy stats
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google-colab k-means-clustering matplotlib numpy pandas seaborn
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🤖A centralized collection of links to my AI projects roughly divided by topic.
numpy pandas python pytorch tensorflow
Last synced: 11 Nov 2025
https://github.com/sadegh15khedry/comments-sentiment-analysis
text classification on comments using an ANN model.
collections deep-learning keras nlp numpy pandas python sentiment-analysis sklearn spacy unicodedata
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https://github.com/f-ssemwanga/dab-dataanalysis
DAB Radio Data Analysis Application
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https://github.com/atkaridarshan04/python-libraries
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https://github.com/rezapace/machine-learning-sound-detection
Welcome to the Machine Learning Detection Sound project! This project harnesses the power of machine learning to analyze car sounds, enabling the detection of vehicles based on their audio signatures.
colab-notebook googlecolab jupyter-notebook machine-learning numpy pathlib python python3 sound source tensorflow voice voice-recognition
Last synced: 11 Mar 2025
https://github.com/khushi130404/echobot
EchoBot is a chatbot built using TensorFlow to classify user inputs into predefined intents and respond accordingly. It uses a neural network trained with the data in intents.json.
keras nlp nltk numpy pickle tensorflow
Last synced: 31 Dec 2025
https://github.com/khushi130404/binning-binarization
This project demonstrates binning and binarization on the Titanic dataset, comparing results with and without numeric encoding. Visualizations highlight the transformations and their impact on survival analysis.
binarization binarizer binning columntransformer decision-trees matplotlib numpy pandas
Last synced: 01 Mar 2025
https://github.com/vandanac20/advanced-real-estate-valuation-with-ensemble-regression-models
Advanced Real Estate Valuation with Ensemble Regression Models
machine-learning numpy pandas python sklearn
Last synced: 06 Jul 2025
https://github.com/ronitjariwala/-prodigy_ds_01
Prodigy InfoTech Data Science Internship Task-1
matplotlib numpy pandas python seaborn
Last synced: 06 Sep 2025
https://github.com/sharkb8t/credit-risk-classification
Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.
jupyter-notebook numpy pandas pathlib python scikit-learn
Last synced: 13 Mar 2025
https://github.com/anubagre/predicting-price-of-pre-owned-cars
This project is solution to data science problem based on regression model to predict the price of pre owned cars. Programming language used is Python.
data-science machine-learning numpy pandas price-prediction python seaborn sklearn streamlit
Last synced: 23 Jul 2025
https://github.com/lorenzorottigni/ml-breast-cancer
Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
Last synced: 07 Dec 2025
https://github.com/vishalgaud17/stroke
A simple Streamlit web app that predicts stroke risk based on user input features like age, BMI, glucose level, and lifestyle factors, using a pre-trained machine learning model.
machine-learning numpy pandas python scikit-learn streamlit
Last synced: 28 Apr 2025
https://github.com/ailsonguedes/iris-flower-ml-project
Machine learning model using logistic regression to classify the Iris-Flower of dataset.
classification data-science dataset ia iris-classification iris-dataset jupyter-notebook logistic-regression machine-learning numpy pandas python sklearn
Last synced: 07 Dec 2025
https://github.com/thinker84/real-time-stock-price-prediction-and-market-analysis-using-machine-learning
Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.
data-science django lstm machine-learning numpy pandas pandas-datareader scikit-learn stock-market stock-price-prediction stooq streamlit yahoo-finance yahoo-finance-api
Last synced: 13 Jul 2025
https://github.com/niteshchawla/loantap-logisticregression
Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?
confusion-matrix encoding feature-engineering featureimportance hyperparameter-tuning logistic-regression machine-learning numpy pandas-python precision-recall roc-auc-curve sklearn-metrics smote-sampling
Last synced: 27 Feb 2025
https://github.com/jacekkala/statistics_hypothesis_testing
Statistics & Hypothesis Testing in Python
charts hypothesis-testing jupyter-notebook matplotlib numpy pandas python scipy-stats seaborn statistics
Last synced: 09 Jan 2026
https://github.com/costopoulos/ntua-dsp
:signal_strength: NTUA ECE Digital Signal Processing Course Source Codes and Reports
dsp filters fourier-transform librosa numpy pywt scipy short-time-signal-analysis stft
Last synced: 16 May 2025
https://github.com/mark1708/neurointerfaces-of-information-systems
Laboratory work on the discipline "Neurointerfaces of information systems"
numpy pandas python scikit-learn
Last synced: 01 Mar 2025
