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/florasteve/ml-foundations-day2
Day-2 ML foundations: probability/stats refresh and NumPy logistic regression; notebooks with visuals.
data-science jupyter-notebook logistic-regression machine-learning matplotlib numpy statistics
Last synced: 10 May 2026
https://github.com/anshpg/exploring-ipl-rivalries-an-analysis-of-matches-from-2008-to-2022
In this project, I delved into an extensive analysis of IPL matches spanning from 2008 to 2022, utilizing a dataset sourced from Kaggle.com. My aim for this IPL season was to explore something novel, steering away from conventional analyses.
csv-files ipl kaggle-dataset matplotlib numpy pandas
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https://github.com/vedikasnehil/my-data-science-projects
This repository is a comprehensive collection of resources and implementations dedicated to the field of Data Science. It serves as a platform for exploring various aspects of data science, ranging from data preprocessing and exploratory data analysis (EDA) to machine learning and deep learning.
data data-science deep-learning machine-learning matplotlib numpy python sql visualization
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https://github.com/ljubogdan/solar-cycle-lstm
This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.
conv1d huber-loss-regression kaggle keras lstm machine matplotlib numpy pandas scikit-learn seaborn solar sunspots tensorflow time-ser
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https://github.com/khursheedahmedd/machine-learning
machine-learning numerical-methods numpy pandas pandas-dataframe
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https://github.com/anish37860/python_party
Python summer party by Interview Master & in partnership with DataCamp
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https://github.com/andersoncrs/aprendizaje_no_supervisado_kmeans_customers
Este repositorio contiene un análisis de datos de clientes de un centro comercial utilizando técnicas de aprendizaje no supervisado, específicamente K Means y clustering jerárquico. El objetivo del proyecto es segmentar a los clientes en grupos homogéneos para entender mejor sus comportamientos y características.
data-analysis kmeans-clustering matplotlib numpy seaborn visualization
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https://github.com/somenath203/loan-status-prediction-backend
Click below to visit the swagger docs of the website
fastapi jupyter-notebook loan-prediction-analysis numpy pandas randomforestclassifier render scikit-learn
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https://github.com/davityak03/sentence-paraphraser-checker-using-transformers
This Jupyter Notebook implements a tool to check whether two sentences are paraphrases by analyzing their semantic similarity using NLP techniques. It provides a similarity score and a binary decision to indicate if the sentences are paraphrases.
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https://github.com/alansteinbarth/irysy
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ai classification clean-code data-science exploratory-data-analysis feature-engineering github-pages iris-dataset jupyter-notebook machine-learning matplotlib modern-ui numpy open-source pandas portfolio-project python reproducible-research seaborn visualization
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https://github.com/cosmoquester/numpy-neural-net
This is neural network samples implemented with numpy without machine learning libraries.
implementation neural-network numpy
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https://github.com/deepcloudlabs/dcl702-2021-jul-12
DCL-702: Data Analytics using Python
data-analytics numpy pandas python3
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https://github.com/elam-parithi/singapore_flatprice_predicting
Flat price prediction with Machine learning tools and python.
matplotlib numpy pandas scikit-learn seaborn
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https://github.com/dev-mdirfan/recommendation-system-various-approaches
Recommendation System
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https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool
A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.
data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter
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https://github.com/fanisgl/cnn_machine_learning
A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.
data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2
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Notes on career track "Data Scientist with Python" at DataCamp
importing-data matlab numpy pandas python3 sqlalchemy
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https://github.com/samir-atra/experiments_and-_improvements
A repository showing the knowledge in some of the machine learning technologies there are.
dcgan-tensorflow numpy tensorflow-tutorials tensorflow2
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https://github.com/sun-data/ndoptimize
Numba-accelerated minimization of objective functions.
astropy minimization numba numpy optimization scientific-computing
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https://github.com/juzershakir/predicting_boston_housing_prices
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree
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https://github.com/bhuvantenguria/adobe-gensolve
Adobe-Gensolve
cv2 dotenv firebase-admin flask numpy pandas python react svgpathtools svgwrite
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https://github.com/coder5omkar/lendingclubcasestudy
Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.
bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis
Last synced: 06 May 2026
https://github.com/sukanyadutta52/topic_modeling
What are the most pressing concerns regarding ‘Climate Change’ among tweeters according to Topic Modeling?
climate-change gensim matplotlib nltk numpy pandas pyldavis regular-expression spacy
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https://github.com/amruta33/melanoma-detection
To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
keras machine-learning numpy pandas python3 sckiit-learn tensorflow
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https://github.com/hifly81/photox
photo and album organizer for gtk3
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https://github.com/lexxai/goit_python_ds_hw_03
Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.
latex linear-regression matplotlib numpy pandas python scikit-learn
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https://github.com/shriansh2002/stock-prediction
This project predicts Apple stock prices using linear regression. It's based on historical stock price data and uses Python and popular data science libraries like Pandas, NumPy, Matplotlib, and scikit-learn.
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https://github.com/atul-maurya-30/galaxy
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flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
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https://github.com/satyacoder29/crm-analytics-power-bi
CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. 🚀📊
advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau
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https://github.com/aathithya-shanmuga-sundaram/cyber-threat-intelligence-dashboard
Interactive Streamlit dashboard for visualizing and analyzing cyber threats, featuring real-time data insights, severity classification, geolocation mapping, and customizable dark-cyber UI.
cyber-threat-intelligence cyber-threat-tool cybersecurity cybersecurity-tools data-visualization dataset numpy pandas plotly python streamlit threat-intelligence
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https://github.com/luliatuccu/weather_analysis
This project highlights a combination of data science techniques and Python programming to explore real-world weather data.
data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns
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https://github.com/yashaka/learncv
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python code for Creating blue color image
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https://github.com/manuel-lang/numpymongo
A python package to export NumPy data to MongoDB
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https://github.com/jsd115/tensorflow_bankfrauddetection
This repository aims to provide examples of my ability to produce ML models using tensorflow and sklearn
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https://github.com/misszeferino/us-traffic-accidents-analysis
Exploratory Data Analysis using Python
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https://github.com/quarkgluant/analyse-visualisation-data-with-python
French Udemy Course "Analyse et visualisation de données avec Python" on Numpy, Pandas and MatPlotLib Python's librairies
matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python3 udemy
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https://github.com/ggrbill/phd-plot-scripts
My personal plot scripts used to generate graphs for my PhD Thesis
hacktoberfest matplotlib numpy python
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https://github.com/amandeep-gupta19/chatbot
Created a custom chatbot using Langchain. Here's a summary of what I did: Data Extraction: I gathered data about technical courses from the Brainlox website using Langchain’s URL loaders. Embedding Creation & Storage: I converted this data into embeddings and stored it in a vector store for efficient searching. API Development: I built a Flask
data-extraction faiss-vector-database flask-restful langchain numpy scikit-learn vector-database webbaseloader
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https://github.com/shoaib1522/credit-card-fraud-analysis
"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."
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an interactive AI dashboard for machine learning model analysis and explainability, supports model training, dataset exploration, feature importance analysis, and SHAP-based explanations for both individual predictions and overall model behavior, compare multiple models, visualize insights, and export results seamlessly
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https://github.com/salvatoreamaddio/pipeline-assessment
Pipeline Simulation
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https://github.com/micmurawski/cloud-array
cloud-array is an open-source Python library for storing and streaming large Numpy Arrays on local file systems and major cloud proviers CDNs.
aws azure big-data bigarray blob-storage cloud data-structures digitalocean-spaces gcp gcp-cloud-storage ibm-cloud-object-storage numpy s3 stream-processing streaming zadara
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https://github.com/abhirajp595/python2
Capstone Project using python(Real-Estate)
data-analysis data-science data-visualization jupyter-notebook machine-learning numpy pandas python statistics
Last synced: 09 Apr 2026
https://github.com/celalaygar/python-experiences
How to use numpy, map, response, opencv, pandas on python 3+. There is a lot of simple project for everybody to understant how to use python.
cv2 numpy opencv pandas pandas-dataframe python response
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https://github.com/harmanveer2546/heart
Predicting the presence of heart disease based on several health-related factors and Performing - i.) Data Cleaning ii.) Data Pre-Processing iii.) EDA iv.) Compare 5 different classification algorithms (Logistic Regression, Decision Tree, Random Forest, KNN and SVC)
data-preprocessing decision-tree eda knn logistic-regression machine-learning numpy pandas random-forest roc-auc-curve svc
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https://github.com/lavkalsi/creditcardfrauddetector
Credit Card Fraud Detector is a React web app that predicts if a credit card transaction is fraudulent using a Python machine learning model. Users can input transaction data, and Flask facilitates communication between the backend and frontend. Backend files are located in the res folder. This app provides simple UI for user interaction.
fraud-detection machine-learning nodejs numpy pandas python reactjs sklearn-library
Last synced: 15 Apr 2026
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
Last synced: 06 May 2026
https://github.com/ashish-kr-srivastava/olympic-games-eda---python
About Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.
data-visualization datacleaning eda matpotlib numpy pandas python seaborn seaborn-python
Last synced: 09 Apr 2026
https://github.com/slovnicki/matematicki-softver
homeworks and projects for Mathematical Software course
ipython jupyter latex markdown mathplotlib numpy pandas scikit sympy
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https://github.com/ambrish8/bell-s-palsy
BELL’S PALSY SEVERITY DETECTION USING DEEP LEARNING
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Last synced: 15 Apr 2026
https://github.com/jaybfn/single-molecule-electrophysiology-data-analysis
Pynanopore serves as a sophisticated toolkit for analyzing single molecules, designed to interpret complex states within nanopore data automatically.
docker numpy pandas plotly pytest python3 streamlit streamlit-webapp
Last synced: 28 Jan 2026
https://github.com/guy1998/synthetic-data-generator-for-event-cameras
Automated workflow for the generation of synthetic data that can be used as an input for event cameras based on previously taken videos
computer-vision event-cameras numpy opencv synthetic-data
Last synced: 15 Apr 2026
https://github.com/drsartoriuss/portfolio
Учебные проекты из Яндекс Практикума "Специалист по Data Science+"
catboost computer-vision data-science deeplearning mashinelearning matplotlib nlp-machine-learning numpy pandas scipy seaborn sklearn sql torch tsf
Last synced: 28 Jan 2026
https://github.com/mariam-zaidi/lead_scoring_case_study
Leads Scoring_Logistic regression model
logistic-regression matplotlib numpy pandas seaborn sklearn
Last synced: 15 Feb 2026
https://github.com/paulomppatricio/projeto_challenge_telecomx-br_parte-2
Projeto Challenge TelecomX-BR_Parte-2 - Formação Data Science do programa ONE - Oracle Next Education em parceria com a Alura.
data-science imblearn joblib machine-learning matplotlib modelos-preditivos numpy pandas python scipy seaborn sklearn statsmodels xgboost
Last synced: 12 Apr 2026
https://github.com/1ayanabil1/100-days-of-python-bootcamp
Join me on my journey to code in Python every day for 100 days! 🐍 This challenge is designed to sharpen my programming skills, explore Python libraries, and build cool projects along the way.
data-structures data-structures-and-algorithms data-visualization django flask machine-learning matplotlib numpy pandas python seaborn web-development
Last synced: 09 Apr 2026
https://github.com/josafatburmeister/circle_detection
A Python package for circle fitting.
circle numpy objectdetection pointcloud python
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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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https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression
Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression
linear-regression machine-learning numpy pandas python regression regression-analysis statistics
Last synced: 06 May 2026
https://github.com/linggarm/poultry-meat-freshness-classification-with-transfer-learning-using-resnet
The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.
artificial-intelligence binary-classification cnn colab-notebooks computer-vision deep-learning fine-tuning imagenet machine-learning meat-classification numpy pandas poultry python residual-networks resnet scikit-learn supervised-learning tensorflow transfer-learning
Last synced: 15 Apr 2026
https://github.com/jsnevt/regressao_logistica
Cálculos de probabilidades sobre uma eleição
matplotlib numpy pandas-dataframe python
Last synced: 11 May 2026
https://github.com/jahanostg/healthguard_with-smart-ai-diagnosis-hub
This project is a Flask-based platform for patients, donors, and doctors, integrating hospital management in one solution. It uses Machine Learning models for predictive health analysis and Power BI for interactive dashboards. Through this project, I enhanced my skills in full-stack development, applied ML, and healthcare data solutions.
css flask-api google-colaboratory-notebooks html5 js machine-learning mysql numpy pandas pkl-model powerbi python-3
Last synced: 09 Apr 2026
https://github.com/xanonymous-github/multimediax
The collections of class projects in Multimedia Technologies and Applications class, NTUT.
deep-learning machine-learning numpy opencv-python
Last synced: 06 May 2026
https://github.com/yc1909/mental_health_analysis
This is project that helps detect user's mental health based on user's description.
bert-embeddings chatbot classification exploratory-data-analysis generative-ai langchain large-language-models machine-learning nlp numpy ollama pandas python sentiment-analysis tensorflow
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https://github.com/ayuub34/siesta-smart
This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models. The goal is to enhance the efficiency of the system through advanced technology solutions.
ai data-analysis-python data-processing data-science jupyter-python machine-learning matplotlib numpy pandas powerbi-report pyqt5 scipy seaborn sklearn
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https://github.com/shwetapardhi/assignment-03-q4-hypothesis-testing
Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5
alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas python scipy significance-testing stats
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https://github.com/keyurparalkar/breast-cancer-detection
Predict whether the cancer is benign or malignant
gradient-descent logistic-regression machine-learning numpy
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https://github.com/shishirshekhar/penguin_app
This is a penguin species prediction web app
data-science logistic-regression ml numpy pandas python python3 random-forest-classifier streamlit streamlit-application streamlit-webapp support-vector-machine
Last synced: 09 Apr 2026
https://github.com/abdulhadi806/muffin-or-cupcake-model
𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 model that is capable of checking whether the model I inputted is a mufin or cupcake, I am in a learning face today is 1/25/2024 let's see how far I can go in this field. Wish me luck:)
ai jupyter-notebook machine-learning numpy pandas python sklearn support-vector-machine svm
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https://github.com/olfabelhadj/analyse-des-ventes-d-une-librairie-avec-python
OpenClassrooms parcours Data Analyst Projet 9
matplotlib-pyplot numpy pandas plotly-express plotly-graph-objects python scipy seaborn statsmodels
Last synced: 15 Apr 2026
https://github.com/ars-sg/python_projects
A collection of diverse Python projects. Each project is meant to highlight different aspects of Python, from data analysis and web development to automation and machine learning. Feel free to explore the code, contribute, or reach out if you have any questions or collaboration ideas!
machine-learning matplotlib numpy pandas python seaborn streamlit
Last synced: 09 Apr 2026
https://github.com/oleksiilatypov/mlzoomcamp-capstone01
mlzoomcamp capstone project
cnn-classification flask numpy tensorflow
Last synced: 15 Apr 2026
https://github.com/ashithapallath/image-processing
The Image Processing Lab repository showcases a variety of image processing techniques using Python. It covers essential concepts such as image manipulation (resizing, cropping), enhancement (adjusting brightness/contrast), analysis (edge detection, contours), color space conversions, and noise reduction.
color-space-conversion image-analysis image-enhancement image-manipulation image-processing noise-reduction numpy opencv python
Last synced: 03 Oct 2025
https://github.com/bearddan2000/python-web-3d-matplotlib-line-parametric-curve-graph
A demo of creating a 3d line parametric curve graph.
3d curve graph line matplotlib numpy pandas parametric python web
Last synced: 15 Apr 2026
https://github.com/lulunac27a/number-statistics-jupyter-notebook
Number statistics app in Jupyter Notebook
jupyter jupyter-lab jupyter-notebook jupyter-notebooks jupyternotebook notebook number number-statistics number-stats numpy numpy-arrays numpy-python python python-notebook python-notebooks statistics stats
Last synced: 15 Apr 2026
https://github.com/adityarohatgi11/regression_analysis_london_crime
This project examines how police presence impacts crime rates in London using regression analysis, panel data, and a natural experiment from the 2005 London attacks.
data-wrangling numpy pandas regression-analysis statsmodels
Last synced: 11 May 2026
https://github.com/samiyaalizaidi/nn-ml-homeworks
Homework solutions for CPE-4903: Neural Networks & Machine Learning at Kennesaw State University.
machine-learning machine-learning-workflow neural-networks numpy scikit-learn
Last synced: 15 Apr 2026
https://github.com/martincastroalvarez/python-video-processing
Movie generator using MoviePy, OpenCV2 and Numpy.
Last synced: 15 Apr 2026
https://github.com/prab9166/-web-content-extraction-and-sentiment-analysis-
web content extraction and sentiment analysis on URLs provided in an Excel file. Its divided into classes to manage different stages such as data loading, web scraping, text processing, sentiment scoring, and output generation
beautifulsoup lxml nltk-python numpy pandas python re requests xlsxwriter
Last synced: 06 May 2026
https://github.com/vyask21/opencv-drowsy
Drowsiness detection can be quickly done using shape predictor face landmarks.dat model file that mark the essential landmarks on the face using OpenCV modules.
Last synced: 08 Feb 2026
https://github.com/anshpg/exploration-in-image-processing-digit-image-generation
This project, developed by Anshuman Pattnaik, explores image processing techniques using Python libraries such as pandas, numpy, matplotlib, and cv2 (OpenCV). The primary objective of the project was to delve into image processing with a focus on creating a unique dataset and algorithm for image generation.
cv2 image-generation image-processing ipynb-jupyter-notebook matplotlib-pyplot numpy opencv pandas
Last synced: 01 Feb 2026
https://github.com/danish-jamil-01/kidney-tumor-detection
Demonstrating how changes in input image resolution affect the algorithm's output
disease-prediction imbalanced-learn ipynb-jupyter-notebook jupiter-notebook kidney-disease-prediction matplotlib matplotlib-figures matplotlib-pyplot numpy numpy-python opencv opencv-python pandas pandas-python pathlib python scikit-image seaborn seaborn-python tensorflow
Last synced: 01 Feb 2026
https://github.com/shreenidhi7700/rice-leaf-disease-prediction-using-convolutional-neural-network
Classifying images of rice leaf disease plants into various disease categories using Convolutional Neural Network
convolutional-neural-networks efficientnet inceptionv3 jupyter-notebook keras machine-learning matplotlib numpy os python resnet50 seaborn shutil-python tensorflow transfer-learning xception
Last synced: 07 Feb 2026
https://github.com/viniciusdsandrade/ti327v-projeto4-equipe4
numpy pillow python-3 scikit-learn tensor-flow
Last synced: 09 Apr 2026
https://github.com/rissh/titanicsurvivalpredictionusingml
Predicting Titanic passenger survival through machine learning. This project includes data preprocessing, exploratory data analysis, feature engineering, and model training using Python. 🚢
data data-analysis data-science data-visualization dataanalysis jupiter-notebook machine-learning machine-learning-algorithms machinelearning matplotlib numpy pandas prediction prediction-model python python3 seaborn tenserflow tflearn titanic
Last synced: 01 Feb 2026
https://github.com/legendarym4x/data_science
Data Science Course
jupyter-notebook keras matplotlib nltk numpy pandas scikit-learn spacy tensorflow
Last synced: 02 Feb 2026
https://github.com/rafali25/perceptron-algorithm
A simple implementation of the Perceptron algorithm using numpy. This project demonstrates how to classify data points by iteratively updating weights and biases based on misclassified samples. Perfect for understanding the fundamentals of linear classification!
machine-learning numpy perceptron-neural-networks pycharm-ide python
Last synced: 09 Apr 2026
https://github.com/rakibhhridoy/covid19analysisindashboard-tableau
Covid19 dashboard analysis of world,north america,south east Asia and their characteristics upon pandemic. Some interesting statistics is shown by the data. The increase rate make effect on death and recover rate quite periodic. Simulating those changes make more interactive.
covid-19 dashboard data-processing dataviz numpy pandas python statistics tableau tableau-dashboards
Last synced: 06 May 2026
https://github.com/prashhhant213/exploratory-data-analysis-for-multinational-retail-corporation
Analysis via CLT and Visualization on Multinational Retail Corporation's data to provide insights and recommendations to improve their userbase.
math matplotlib numpy pandas python scipy-stats seaborn stats
Last synced: 09 Apr 2026
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: 15 Apr 2026
https://github.com/linggarm/evolutionary-algorithms
Collection of codes of Evolutionary Algorithms college course (Knapsack Problem & Travelling Salesman Problem)
ant-colony-optimization evolution-strategies evolutionary-algorithms evolutionary-programming genetic-algorithms genetic-programming knapsack-problem matplotlib numpy particle-swarm-optimization python travelling-salesman-problem
Last synced: 15 Apr 2026
https://github.com/chandkund/customer-segmentation
Customer segmentation divides customers into distinct groups based on characteristics and behaviors. This project uses K-Means clustering, an unsupervised machine learning algorithm, to segment customers and provide insights for targeted marketing strategies
kmeans-clustering matplotlib numpy pandas python seaborn
Last synced: 15 Apr 2026
