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/zongxr/dcic2025-riverwaterprediction
闽江,福建省最大独流入海河流,流域降水丰沛。在新型电力系统和新阶段水利高质量发展的环境下,如何缓解流域防汛压力,提升水资源利用率是水电企业高质量发展的重中之重。目前,基于传统水文学原理已实现未来9小时甲级精度的洪水预报,但存在遇见期与预见精度上仍有提升空间,因此,通过结合人工智能技术实现流域入库流量的精准预测,对保障水库安全调度、防洪及清洁能源稳定供应具有重大战略意义。
lightgbm machine-learning numpy pandas sklearn time-series xgboost
Last synced: 03 May 2026
https://github.com/syed-m-nofel/python-data-science-fundamentals
Python notebooks for data manipulation (Pandas/NumPy) and API workflows – from basics to practical examples.
api beginner-friendly data-analysis data-science http-requests jupyter-notebook numpy pandas pandas-dataframe python tutorial
Last synced: 03 May 2026
https://github.com/asayda01/airport_operations_analytics
The project analyzes the performance of Hold Baggage Screening X-ray Machines, identifying trends in system load, bottlenecks, and operator efficiency. Using an interactive Streamlit app, users can explore data-driven insights to optimize airport screening processes and improve overall operational performance.
data-science dataanalysis datainsights datavisualization numpy pandas python streamlit
Last synced: 03 May 2026
https://github.com/naritanara/tf-test
Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR
numpy python research-project tensorflow tensorflow-tutorials
Last synced: 03 May 2026
https://github.com/atchayaah/home-value-insights-kc
Data-driven project predicting King County housing prices using EDA, regression models, and ML techniques, developed as part of IBM’s Data Analysis with Python course on Coursera.
joblib matplotlib numpy pandas pickle python scikit-learn seaborn
Last synced: 03 May 2026
https://github.com/grachale/convolution_image
The implementation of a function that takes an image (RGB or gray one) and a filter (kernel) and applies a convolution between them.
convolution image-processing numpy python
Last synced: 03 May 2026
https://github.com/akashparley/ipl-data-analysis
The IPL Data Analysis project focuses on extracting valuable insights from IPL match data using various data analytics techniques. By analyzing historical match outcomes, player performances, team comparisons, and venue statistics, the project visualizes trends and patterns through graphs like bar charts, line graphs, and scatter plots.
analytics data-visualization excel metplotlib numpy pandas python seaborn tableau-dashboards
Last synced: 04 May 2026
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: 04 May 2026
https://github.com/aymanmomin/facebook-ego-network-analysis-for-political-outreach-optimization
Analyzing Facebook ego networks to identify influential users and communities for optimizing political advertising. Leverages network science techniques (Louvain communities, centrality metrics, threshold models) to simulate influence spread.
community-detection course-project facebook-network-analysis louvain-algorithm louvain-community-detection matplotlib network-analysis network-graphs networkx-library numpy pandas python3 pyvisgraph research-paper scipy-stats sklearn-metrics tqdm
Last synced: 04 May 2026
https://github.com/pomxark/smartdictor_0.1_nuitka_cleer
Распознание и озвучивание голосовым движком текста с экрана.
cv2 fuzzywuzzy kivy matplotlib-pyplot nuitka numpy pil pyautogui pyqt5 pytesseract pyttsx3 scipy silero simpleaudio torch
Last synced: 04 May 2026
https://github.com/timothyjan/intro-machine-learning-polynomial-regression
We use NumPy to implement vectorized linear and polynomial regression models and compare their performance using separate training and test sets.
Last synced: 04 May 2026
https://github.com/ola-kaznowska/median-statistic
A program that calculates the median statistic. Program written in Python 3.13.1 with NumPy library during Machine Learning course.
mathematics numpy python python3
Last synced: 04 May 2026
https://github.com/abhijais4896/belarus-car-price-prediction
Belarus-car-price-prediction
data-analysis datacleaning macine-learning numpy pandas python
Last synced: 04 May 2026
https://github.com/cheese23456/ai-based_stock_analysis_and_portfolio_optimisation
📈 Analyze stocks and optimize portfolios with AI-driven insights, technical indicators, and clear investment signals for informed decision-making.
ai asset-allocation financial-analysis huggingface-spaces numpy pandas portfolio-optimisation python scipy-optimize streamlit
Last synced: 04 May 2026
https://github.com/mohammadmahdi-abdolhosseini/data-analysis-and-ai-courses
Artificial Intelligence + Engineering Probability & Statistics courses projects
classification data-visualization genetic-algorithm jupyter-notebook machine-learning matplotlib minmax-alpha-beta-pruning neural-network numpy pandas python
Last synced: 04 May 2026
https://github.com/sumaiyyaf/movie-industry-analysis
This project focuses on the acquisition and in-depth analysis of movie data to generate strategic recommendations, guiding our hypothetical company's successful entry into the movie industry.
exploratory-data-analysis numpy pandas python visualization webscraping
Last synced: 04 May 2026
https://github.com/florasteve/ml-foundations-day1
Day-1 ML foundations focused on linear algebra: vectors, dot products, norms, angles, projections, and basic matrix operations—implemented in a Jupyter notebook with NumPy/Matplotlib, clear 2D visuals, a self-quiz, and a brief reflection. Emphasizes how these math primitives map to core ML/AI ideas (similarity, least squares, geometric transforms).
ai data-science education jupyter-notebook linear-algebra machine-learning matplotlib numpy python3 terminal-mac tutorial visualization vscode
Last synced: 04 May 2026
https://github.com/sugha22/data_analysis
Actively upskilling in data science with hands-on learning during a Green Internship focused on environmental sustainability. Used Pandas and NumPy for data preprocessing and cleaning, and created visual dashboards in Excel and Tableau. Gained experience in interpreting sustainability metrics and communicating insights through data storytelling and
data-cleaning data-collection data-storytelling data-transformation excel numpy pandas preprocessing sustainability-metrics tableau-dashboards visualization
Last synced: 04 May 2026
https://github.com/secary/maths7027
Mathematical Foundations of Data Science
latex mathematics numpy pandas
Last synced: 04 May 2026
https://github.com/saifalibaig/crop-yield-prediction
🌾 A machine learning-based crop production prediction system using historical Indian agricultural data with advanced regression models and hyperparameter tuning.
eda feature-encoding feature-selection kaggle-dataset lasso-regression linear-regression matplotlib-pyplot numpy onehot-encoding pandas python3 ridge-regression seaborn simpleimputer xgboost-regression
Last synced: 04 May 2026
https://github.com/shamiul5201/selfie_app_features_application
OpenCV project to build skills in image processing: features include Cartoonify and Pencil Sketch effects in a Jupyter Notebook, blemish removal in a Python script, and chroma keying for videos. Perfect for exploring creative and practical computer vision techniques.
computer-vision numpy opencv python
Last synced: 04 May 2026
https://github.com/0nom4d/308reedpipes
Mathematical EPITECH Project - This project computes a representation of a reedpipe.
coverage epitech epitech-project matplotlib-pyplot numpy pytest python scipy
Last synced: 04 May 2026
https://github.com/jakubfr4czek/apartment-prices-analysis
This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.
agh agh-wi analysis csv jupyter jupyter-notebook krakow numpy pandas price-analysis price-prediction probability probability-statistics python statistics statistics-learning
Last synced: 04 May 2026
https://github.com/powei-lin/least-square-problem-example
Example of solving least square problem with python
autograd least-square-regression least-squares matplotlib numpy python python3 scipy
Last synced: 04 May 2026
https://github.com/katalekoweb/full-python-course-for-ai
Full python curse for AI
matplotlib numpy pandas python3 requests
Last synced: 04 May 2026
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.
Last synced: 04 May 2026
https://github.com/asuquoaa/applied_data_science_with_python_study
Notes, codes and practicals on the Applied Data Science with Python specialization by UM
matplotlib numpy pandas seaborn
Last synced: 04 May 2026
https://github.com/jokoum/sentiment-classification
Multi-layer Perceptron classification of product reviews written in Greek language
flask machine-learning multilayer-perceptron-network neural-network numpy python sentiment-classification
Last synced: 05 May 2026
https://github.com/vladd12/machine-learning-practice
Репозиторий для учебной практики и различных курсов, связанных с ИИ
json keras-tensorflow machine-learning numpy pandas pickle tensorflow2 torch xml
Last synced: 05 May 2026
https://github.com/egorouv/deepmachinelearning
DML Course
deep-machine-learning numpy python pytorch sklearn
Last synced: 05 May 2026
https://github.com/iamwatchdogs/retail-insights-from-superstore-data
An simple Data Analysis Project for finding insight within the Super store data set
conda-environment data-analytics jupyter-notebook matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/csgn/numpy-tr-docs
docs documentation np numpy numpy-tr-docs tr-docs turkish
Last synced: 05 May 2026
https://github.com/nabilshadman/multiprocessing-time-series-data-simulation
A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples
multiprocessing numpy pandas scipy simulation statistics time-series
Last synced: 05 May 2026
https://github.com/thomasa/python-intro
This is a Jupyter notebook slide show for a 2-hour crash intro to Python, NumPy, Matplotlib, and SciPy
matplotlib numpy python scipy tutorial
Last synced: 05 May 2026
https://github.com/celineboutinon/bookworms
OpenClassrooms Data Analyst 2022-2023 - Projet 6
apriori-algorithm data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot mlxtend numpy pandas python scikit-learn scikit-posthocs scikitlearn seaborn statsmodels
Last synced: 05 May 2026
https://github.com/13anush/python-libraries-
A collection of essential Python libraries—NumPy, Pandas, Matplotlib, and Seaborn—perfect for anyone starting out in data analysis.
data-analysis matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/hitthecodelabs/petalanalyticsstreamlit
Web application developed with Streamlit that predicts the Iris flower type based on its physical features
matplotlib model numpy pickle python scikit-learn sklearn streamlit
Last synced: 05 May 2026
https://github.com/patilsukanya/house-price-prediction
Libraries Used
matplotlib numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/ahmedabdalkreem/airline_passenger_satisfaction
In this project, we work in machine learning project that show the satisfacion of customer from the service that have in airline this service make it like this experience or not.
decision-trees gradient-boosting knn logistic-regression machine-learning matplotlib naive-bayes numpy pandas preprocessing python random-forest svm visualization
Last synced: 05 May 2026
https://github.com/theadeelahmed/mall-customers-segmention
This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn
matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering
Last synced: 05 May 2026
https://github.com/anas436/generating-maps-with-folium-using-python
folium ibm-watson numpy pandas pulgins python3 wget
Last synced: 05 May 2026
https://github.com/nomissbowling/nomissbowling.github.io
nomissbowling.github.io
c cplusplus matplotlib numpy pyob python python-cpp-wrapper wrapper wx wxpython
Last synced: 05 May 2026
https://github.com/nandinimarepalli/ai_ml_internship_projects
Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/ayushdutta-ai/face-recognition-model
A custom face recognition model built from scratch using Python, OpenCV, Pillow, and Face libraries, utilizing LBPH for efficient facial feature extraction and accurate identification.
face haar-cascade lbph-face-recognizer numpy opencv pillow
Last synced: 05 May 2026
https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization
A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.
dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python
Last synced: 05 May 2026
https://github.com/eshansugeesh/fico-score-loan-default-modeling-project
Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.
bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling
Last synced: 06 May 2026
https://github.com/ianjure/simple-neural-network
Implementing a simple neural network using only Numpy.
deep-learning neural-network notebook numpy scratch-implementation
Last synced: 06 May 2026
https://github.com/toxe/python-plotting
Python Plotting
matplotlib numpy pandas plotting python
Last synced: 06 May 2026
https://github.com/yashpaneliya/bank-loan-default-analysis
Analyze and understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.
data-analysis loan-default-analysis matplotlib numpy pandas python
Last synced: 06 May 2026
https://github.com/kunalpisolkar24/gradientdescent
A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.
cost-function gradient-descent numpy visualization
Last synced: 06 May 2026
https://github.com/prachi-77/data-visualization
Data visualization using Python
barplot fooddata matplotlib-pyplot numpy pandas python restaurant visualizations
Last synced: 06 May 2026
https://github.com/patilsukanya/assignment-05.-multiple-linear-regression-q2
Used libraries and functions as follows:
collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score mlr multiple-linear-regression numpy ols-regression pairplot python regress-exog residual-analysis rsquare-values smf statsmodels vif
Last synced: 06 May 2026
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
Last synced: 06 May 2026
https://github.com/fbi555/fashion-mnist-cnn-tf
🧵 Classify fashion images using a compact CNN model in TensorFlow/Keras, designed for the Fashion-MNIST dataset with easy execution in Google Colab.
adam classification cnn colab-notebook computer-vision convolutional-neural-networks custom-training-loop deep-learning fashion-mnist gans image-classification interactive jupyter-notebook keras lowlevelapi mnist-dataset numpy regularization
Last synced: 06 May 2026
https://github.com/williyam-m/company-registration-trends
Utilized Linear Regression from scikit-learn to predict future company registration trends.
flask matplotlib numpy pandas-python scikit-learn
Last synced: 06 May 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/ananyachibber21/automation-python-projects
Automation with Python (Second Year Projects)
automation chromedriver numpy openpyxl pandas-dataframes python selenium
Last synced: 06 May 2026
https://github.com/piero24/lossfuncition-4sn
This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.
dataset deep-learning deep-neural-networks loss loss-functions matplotlib neural-network numpy opencv polyp-detection polyp-segmentation python python3 pytorch segmentation segmentation-models torchvision transformers unipd unipd-dei
Last synced: 06 May 2026
https://github.com/jayanthpotluri5513/heart-disease-prediction-using-ml
This project aims to develop a machine learning model for heart disease prediction, leveraging the potential of advanced algorithms and a comprehensive dataset.
machine-learning matplotlib numpy pandas python
Last synced: 06 May 2026
https://github.com/jonolav95/advent_of_code_2022
Using Python with Pandas and Numpy (www.adventofcode.com).
Last synced: 06 May 2026
https://github.com/kianaabrisham/svm-from-scratch
Linear SVM from scratch with hinge loss + decision boundaries
classification from-scratch fundamentals hinge-loss numpy optimization scikit-learn svm
Last synced: 07 May 2026
https://github.com/amruta33/bike_sharing
Building ML model for Bike sharing
linear-regression matplotlib numpy pandas python3 seaborn
Last synced: 07 May 2026
https://github.com/miss-mhv/retail_strategy_and_analytics
The purpose of this work is to analyze data from a supermarket to better understand the types of customers who buy chips and their buying behavior in the area.
jupyter-notebook numpy pandas python3
Last synced: 07 May 2026
https://github.com/jonad/chicago_crime_analysis
Exploratory data analysis on Chicago Crime dataset.
jupyter-notebook matplotlib numpy pandas python3
Last synced: 07 May 2026
https://github.com/ganesh774218/eda-book-store
Exploratory data analysis on a book store dataset to uncover sales trends, popular genres, and top publishers.
data-visualization datacleaning datamanipulation eda matplotlib numpy pandas python pythonp pythonproject seaborn
Last synced: 07 May 2026
https://github.com/salvatoreamaddio/powerbi
This project combines both Python and PowerBI technologies. It cleans a dataset and imports it into a PowerBI file.
numpy pandas pandas-python powerbi python
Last synced: 07 May 2026
https://github.com/ayushpatel2026/stock_predictor
Neural Networks to Predict Stock Prices
data-science flask-api machine-learning neural-network numpy python pytorch
Last synced: 07 May 2026
https://github.com/ebadshabbir/bluff-detection-model-polynomial_regression-
This project predicts employee salaries based on position levels using Linear and Polynomial Regression models. It trains models with degrees 2, 3, and 4 on a dataset of job titles, position levels, and salaries, and predicts the salary for a position level of 6.5. The results are visualized to compare model performance.
jupyter-notebook linear-regression machine-learning matplotlib-pyplot multiple-linear-regression numpy polynomial-regression python
Last synced: 07 May 2026
https://github.com/hackintoshrao/first-neural-network
Simple Neural Network with a hidden layer written from scratch using Numpy for prediction the bike sharing sales
deep-learning neural-networks numpy python
Last synced: 07 May 2026
https://github.com/minjii1079/pytune
Building PyTune, a Python guitar tuner that uses PyAudio for recording, NumPy for math operations, and SciPy for FFT (Fast Fourier Transform) and signal processing.
fft guitar-tuner music numpy pyaudio python3 scipy
Last synced: 07 May 2026
https://github.com/bettenoch/yolo_real_time_object_detector
The YOLO Real-Time Object Detector leverages the ultralytics package to provide robust object detection capabilities. This project is designed to identify and classify objects in images, video streams, and live webcam feeds with high accuracy and efficiency.
numpy object-detection object-tracking pandas python3 real-time-processing ultralytics yolov8
Last synced: 07 May 2026
https://github.com/haimgoldfisher/data_visualization_final_project
Final project of the Data Visualization course, Ariel university.
adaboost bayesian-learning catboost ensemble-learning gradient-boosting gridsearchcv matplotlib numpy pandas plotly seaborn semi-supervised-learning voting-classifier
Last synced: 08 May 2026
https://github.com/chdl17/imdb-assignment
This GitHub repository contains a project that performs an analysis of the IMDb movie rating dataset. The data is used to explore the relationships between various features and the movie rating. Visualizations are used to illustrate the results of the analysis. The code is organized into a Jupyter Notebook file and data files.
Last synced: 08 May 2026
https://github.com/alain-godo/spotify-popularity
A simple analysis and modeling for prediction of the popularity of songs on Spotify
linear-regression machine-learning numpy pandas random-forest sckiit-learn spotify tree-decision
Last synced: 08 May 2026
https://github.com/jahanostg/linear-regression_ml-algorithm
Linear Regression Algorithm
colab-notebook matplotlib numpy pandas scikit-learn seaborn
Last synced: 08 May 2026
https://github.com/moustafamohamed01/data-analysis-ecommerce-purchases
Data Analysis : Analyzing (Ecommerce Purchases) dataset from Kaggle
jupiter-notebook numpy pandas python
Last synced: 08 May 2026
https://github.com/0290192029/apartment-price-predictor
Python-проект по прогнозированию стоимости аренды квартир с помощью линейной регрессии. Практическая работа по теме: "Основы машинного обучения" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".
apartment-price-prediction apartments-for-rent api correios-api data-analysis feature-engineering feature-enginering linear-regression linear-regression-models mlops numpy prediction-model r seaborn
Last synced: 08 May 2026
https://github.com/sahil210695/numpy-basics
A brief overview of NumPy basics
data-science numpy numpy-tutorial python
Last synced: 08 May 2026
https://github.com/omogbolahan94/movies-budget-revenue-analysis
Data exploration, data cleaning, data analysis and predictive analysis
dataframe linear-regression matplotlib numpy pandas seaborn statistical-analysis
Last synced: 08 May 2026
https://github.com/dhruwsunita/zomato-data-analysis-project
Zomato data analysis project using Python.
data-analysis data-visualization jupyter-notebook matplotlib numpy pandas-dataframe python
Last synced: 08 May 2026
https://github.com/kevinmbeaulieu/machine-learning-practice
ML models & data processing utilities written from scratch as practice.
data-science machine-learning numpy pandas
Last synced: 08 May 2026
https://github.com/krish57-bit/sentiment-analysis-using-bert
Sentiment analysis using NLP techniques and BERT Model
matplotlib natural-language-processing nlp nltk numpy pandas seaborn sentiment-analysis
Last synced: 08 May 2026
https://github.com/kkkaan/tensor-library-403-hw1
A numpy like library for tensor (gergen) operations.
deep-learning numpy python tensor
Last synced: 08 May 2026
https://github.com/fasih-khan99/resume-screening
AI-Powered Resume Screener & Ranker
ai logistic-regression nltk numpy pandas python resume-screening spacy-nlp
Last synced: 08 May 2026
https://github.com/diegodscamara/whisperlive
🎙️ WhisperLive: Real-time audio transcription powered by OpenAI's Whisper model. Convert live speech to text with high accuracy, supporting multiple languages and real-time processing. Perfect for accessibility, content creation, and live captioning.
ai blackhole numpy python wave whisper
Last synced: 09 May 2026
https://github.com/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization
Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.
elasticnet extratreesregressor fastica model-pipeline numpy pandas pca randomforestregressor svr-regression-prediction xgboost
Last synced: 09 May 2026
https://github.com/kemalcalak/developing-driverless-vehicles
This project includes the software required for an autonomous vehicle
numpy object-detection opencv segmentation yolo
Last synced: 09 May 2026
https://github.com/mahmood-anaam/deterministic-dynamic-programming
This repository explores deterministic dynamic programming solutions for the Shortest Path Problem (SPP) and the Traveling Salesperson Problem (TSP). It includes graphical representations, a detailed Jupyter notebook, and practical implementations for optimizing travel routes and minimizing costs in various city-based scenarios.
dynamic-programming graph-theory jupyter-notebook numpy python shortest-path-problem traveling-salesperson-problem
Last synced: 09 May 2026
https://github.com/franciscomartinez45/social-network-analysis
Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network
matplotlib ml networkx numpy pytorch
Last synced: 09 May 2026
https://github.com/mattkevan/data-science
Notes from learning various data science topics.
data-science matplotlib numpy python3
Last synced: 09 May 2026
https://github.com/kingsley-ezenwaka/mean-var-std
This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.
Last synced: 09 May 2026
https://github.com/aroojzahra908/machine-learning
This repository contains helpful guides and materials for easily understanding Pandas, NumPy, and Matplotlib libraries, which are essential tools for creating visual representations of data.
algorithms machine-learning-algorithms matplotlib numpy pandas
Last synced: 09 May 2026
https://github.com/chuvalniy/tulia
Contains self-implemented Machine Learning algorithms using only numpy.
boosting from-scratch knn learning logistic-regression machine ml numpy python random-forest regression sklearn testing xgboost
Last synced: 09 May 2026
https://github.com/sanjurajveer/market_basket_analysis
Finding pattern of bought objects through market basket analysis
apriori-algorithm association-rules numpy pandas python seaborn
Last synced: 09 May 2026
https://github.com/carol-neto/sprint-4-statistical-data-analysis
In this project I had the opportunity to test my knowledge by analyzing a phone plan and creating graphs to compare the plans and determine which ones generate the most revenue.
matplotlib-pyplot numpy pandas pytho scipy-stats seaborn statistical-analysis
Last synced: 09 May 2026
https://github.com/liannekiarra/university-dissertation
Combining Machine Learning Techniques with Multi-Objective evolutionary Algorithms to Solve Real World Engineering Problems
artificial-intelligence engineering hypervolume matplot multi-objective-optimization neuralnetwork nsga-ii numpy pareto-front pareto-optimality pymoo python3 sklearn
Last synced: 09 May 2026