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/lmizner/codecademy_us_census
Demonstrate data cleaning skills
for-loops glob histogram jupyter-notebook lists matplotlib-pyplot numpy pandas python scatterplot
Last synced: 09 Apr 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/bearddan2000/python-web-3d-matplotlib-stem-graph
A demo of creating a 3d scatter parametric curve and line graph.
3d graph matplotlib numpy pandas python stem web
Last synced: 09 Apr 2026
https://github.com/raghulrajn/machine-learning-d-r-y
This repository contains quick python scripts that are repeatedly used in EDA on dataset
data-science numpy pandas python
Last synced: 09 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/anusthan12/hrc-training-summer
HRC Summer Intership
anusthan12 anusthansingh b2b-applications flask intership java javascript jdbc jupyter-notebook machinelearning material-ui ml numpy pandas python reactjs scikit-learn sql sql-api tomcat
Last synced: 09 Apr 2026
https://github.com/jcm-ai/Robust-MLOps-Elevating-Machine-Learning-to-Production-Scale
This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.
aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml
Last synced: 09 Aug 2025
https://github.com/pem-humboldt/wiutils
Exploration utilities for Wildlife Insights projects.
biodiversity camera-trap images matplotlib numpy pandas python seaborn trail-cameras wildlife-insights
Last synced: 09 Aug 2025
https://github.com/towaquimbayo/comp-3948
BCIT Computer Systems Technology (CST) - COMP 3948 (Predictive Modelling)
classification matplotlib numpy pandas prediction-model predictive-analytics predictive-modeling python regression scikit-learn scipy sklearn statsmodels
Last synced: 09 Apr 2026
https://github.com/rociobenitez/deeplearning-airbnb-price-prediction
Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.
airbnb-data airbnb-pricing-prediction convolutional-neural-networks deep-learning deep-learning-algorithms deep-neural-networks jupyter-notebook keras keras-neural-networks keras-tensorflow matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/sahiltiwariiii/email-spam-classifier
This model will tell you weather mail is spam or not
dataanalysis datacleaning datascience eda machine-learning nlp-machine-learning nltk numpy pandas python scikit-learn streamlit streamlit-webapp tfidf-vectorizer wordcloud-visualization wordtovec
Last synced: 09 Apr 2026
https://github.com/ayan6943/employee-attrition-prediction-with-machine-learning
Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.
attrition employee machine-learning matplotlib numpy pandas python randomforestclassifier scikit-learn seaborn smote
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https://github.com/blackcub3s/msc-finalthesis
The most important programming files, code functions and data processing pipelines for the Machine learning final thesis of my Master's degree. Also, the LaTeX code of the thesis.
data-analysis latex machine-learning numpy python sklearn
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https://github.com/ashwani-199/dataanalysis2024
Python Data Analysis
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https://github.com/yc1909/mental_health_analysis
This is project that helps detect user's mental health based on user's description.
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https://github.com/aaaastark/web_scraping
Web Scraping
beautifulsoup csv matplotlib news numpy pandas pyhton python3 request requests scraper scraping web-scraping webscraping
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https://github.com/aravinda-1402/covid-detection-model-using-chest-x-ray
The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.
classification cnn covid flask keras numpy pandas tensorflow
Last synced: 09 Apr 2026
https://github.com/abideen-olawuwo/sentimental-analysis
A sentimental analysis on movie Black Adam
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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/ananupam/eda-stock_market
An Exploratory Data Analysis project done on Financial data read from a search engine (yahoo) to predict the trends of stocks of 4 Tech companies.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/josafatburmeister/circle_detection
A Python package for circle fitting.
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Last synced: 09 Apr 2026
https://github.com/jadelhelm/100-days-of-code-python
The Complete Python Pro Bootcamp 2024
100daysofcode 100daysofpython bootstrap bootstrap5 css css3 flask html matplotlib numpy pandas plotly python rest-api scikit-learn selenium-webdriver sqlite tkinter turtle
Last synced: 09 Apr 2026
https://github.com/ravi0529/e-commerce-annual-spend-model
A basic Linear Regression model for predicting annual customer's spending
jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn scipy
Last synced: 09 Apr 2026
https://github.com/srikarveluvali/dataanalysis
The "Dataset - Extraction, Analysis, and Visualization" project is a Python-based data analysis venture that focuses on exploring and interpreting the "Video Game Sales Analysis" dataset.
css data-analysis html javascript matplotlib numpy pandas python seaborn tableau
Last synced: 09 Apr 2026
https://github.com/sk-g/mnist_beginners
Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general
keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow
Last synced: 09 Apr 2026
https://github.com/nazmul-1117/100-days-of-machine-learning
I'm Nazmul so exited to start a new journey to learn 100 Days of Machine Learning. It's February 8, 2025. I'm so exited, let's see what happened insha'Allah
data-science machine-learning numpy pandas-dataframe python3 scikit-learn statistics
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https://github.com/prath0m/python-numpy
Python basic Numpy Program
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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
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https://github.com/jai0212/gpt-rnn-poetry-generator
A generative pre-trained transformer (GPT) using a recurrent neural network (RNN) to generate poetry with customizable length and creativity index.
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Last synced: 12 Aug 2025
https://github.com/hansalemaos/group_by_continuous_sequence
Groups lists/NumPy arrays by continuous sequence
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https://github.com/sproc01/alcuinproblem
A resolver for a generic Alcuin problem
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Last synced: 09 Apr 2026
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.
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https://github.com/sanchariii/health-assist-1
Health Assist web app uses the Streamlit framework to help users identify potential diseases. Simply input your symptoms, and the system will predict whether you have diabetes, heart disease, or Parkinson's disease. The system is designed to be quick and convenient, promoting early detection and timely medical intervention.
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https://github.com/muhkartal/xai_dashboard
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
joblib numpy pandas python sckit-learn shap streamlit xgboost
Last synced: 04 May 2026
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."
eda epochs mlp-classifier neural-network numpy pandas-python perceptron-learning-algorithm python regression sckiit-learn seaborn streamlit streamlit-webapp tensorflow
Last synced: 09 Apr 2026
https://github.com/mattmoony/ann_mnist
Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️
adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh
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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
Last synced: 09 Apr 2026
https://github.com/lmizner/cs249_datasciencefundamentals
Course work from UCLA's CS249 - Data Science Fundamentals
data-cleaning-and-preprocessing exploratory-data-analysis jupyter-notebook knn-regression linear-regression matplotlib numpy pandas python ridge-regression
Last synced: 12 Apr 2026
https://github.com/niteshchawla/netflix-case-study
Analyze the data and generate insights that could help Netflix ijn deciding which type of shows/movies to produce and how they can grow the business in different countries
matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/abideen-olawuwo/wholesale_customer_data
An unsupervised learning model
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https://github.com/applicativesystem/numpy-builder
code getter and numpty operator for numpy operations
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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/hajdu-patrik/nlp_music-mood-classifier_bme_hf
This project is a Python-based NLP system that analyzes song lyrics to determine their emotional profile and recommends similar songs.
nlp nlp-machine-learning numpy pandas python
Last synced: 10 Nov 2025
https://github.com/armahdavi/ml-xgboost-regressor---rapid-filter-forensics_rff-dust-recovery-from-hvac-filter
ML modelling of dust recovery from HVAC filters: Linear Regression vs. XGBoost - Project Milestone: 2017-2020.
linear-regression machine-learning matplotlib matplotlib-pyplot mpl-toolkits-mplot3d numpy pandas python seaborn seaborn-plots sklearn xgboost-regression
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https://github.com/akshay-rajan/machinelearning
Introduction to Machine Learning
machine-learning machine-learning-algorithms matplotlib numpy pandas sklearn
Last synced: 09 Apr 2026
https://github.com/alphacrypto246/old-car-price-prediction
The Old Car Price Prediction project predicts used car prices using features like age, mileage, and fuel type. It includes data preprocessing, model training, and visualization of trends, with easy customization for additional features or models.
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 09 Apr 2026
https://github.com/ashraf-khabar/bank-marketing-data-analysis
This project is focused on analyzing bank marketing data using PyTorch, pandas, numpy, and scikit-learn. The goal is to build a predictive model that can help identify potential customers who are more likely to subscribe to a bank's term deposit.
data-cleaning data-science data-visualization dataset deep-learning deep-neural-networks feedforward-neural-network learning neural-networks numpy pandas python pytorch sklearn
Last synced: 09 Apr 2026
https://github.com/abdullahashfaqvirk/SMS-Spam-Detection
A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.
css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost
Last synced: 16 Aug 2025
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
Last synced: 09 Apr 2026
https://gitlab.com/DLR-SY/beos
Beos is a legacy Fortran tool used to calculate the static and dynamic buckling behavior of flat/curved fiber composite structures.
Last synced: 16 Aug 2025
https://github.com/glbter/data-analysis-py
data-analysis labs. 50/50 made with Oleh Tonkoshkur
numpy pandas python3 scipy-stats
Last synced: 12 Jun 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
Last synced: 09 Apr 2026
https://github.com/balajig-24/titanic_data_analysics-
Project Title: Titanic Survival Prediction Project Overview The Titanic Survival Prediction project is a classic machine learning problem that aims to predict whether a passenger survived the Titanic disaster based on various features such as age, gender, passenger class, and more. This project demonstrates my ability to clean, analyze, and model.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/nas-research/knowledge-model
Our knowledge system systematically ingests, processes, and indexes open-access life science publications. It supports internal research by providing precise question-answering and efficient retrieval from a continuously updated repository of scientific literature
accelerate aws boto3 dataingestion keras lifesciences llama llama3 llm numpy pymupdf pytorch researchsupport sqlalchemy tensorflow textextraction
Last synced: 10 Apr 2026
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
Last synced: 15 Apr 2026
https://github.com/subhadipsinha722133/credit-card-fraud-dection
Web application for detecting fraudulent credit card transactions using machine learning
data-visualization fraud-detection machine-learning matplotlib numpy pandas seborn sklearn streamlit
Last synced: 10 Apr 2026
https://github.com/maliksaqib786/codealpha_projectname
IRIS CLASSIFICATION | Internship Project at Code Alpha
data-science logistic-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/vedanty3/bulldozer-price-prediction
A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.
andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm
Last synced: 05 Apr 2026
https://github.com/prathicashettym/machinelearningalgorithms
Contains mini projects and implementation using ML algorithms
jupyter-notebook linear-regression matplotlib numpy pandas panfas python seaborn
Last synced: 03 May 2026
https://github.com/sadmanca/imdb-scraper
Scrapes IMDb's movie database and outputs the data to CSV files.
beautifulsoup data-scraping imdb numpy pandas python requests
Last synced: 03 May 2026
https://github.com/mzayles/data-preparation.py
Curso Programação em Python para Data Science | Preparando e tratando dados de uma base de vendas com Pandas e NumPy.
Last synced: 03 May 2026
https://github.com/katerynazakharova/machine-learning
Example of a ML algorithm.
gradient-boosting-classifier gridsearchcv machine-learning ml numpy pandas python3
Last synced: 03 May 2026
https://github.com/akhil-krishnan-r/super_market_analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset
data-visualization matplotlib numpy pandas seaborn
Last synced: 03 May 2026
https://github.com/furk4nbulut/uygulamalarla-makine-ogrenmesi-ve-derin-ogrenme-atolyesi
Bu repository, Manisa'da gerçekleştirilen BTK Akademi Uygulamalı Makine Öğrenmesi ve Derin Öğrenme Atölyesi'ne ait eğitim sürecini kapsamaktadır. Atölyede katılımcılar, ileri düzey makine öğrenmesi ve derin öğrenme teknikleriyle ilgili teorik ve pratik bilgiler edinmektedir.
matplotlib numpy pandas scikit-learn seaborn
Last synced: 03 May 2026
https://github.com/carol-neto/sprint-9-making-data-driven-business-decisions
In this project I evaluate hypotheses using ICE and RICE and perform A/B testing analysis.
abtesting dataanalysis hypothesis-testing matplotlib numpy pandas python scipy-stats seaborn
Last synced: 03 May 2026
https://github.com/muskanmi/data_analysis_python
Data analysis on students result dataset using python libraries.
boxplot countplots data-analysis numpy pandas pie-chart python3 seaborn
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/lmizner/codecademy_product_defects
Practicing rules of probability, set theory, and distributions
cdf jupyter-notebook numpy pmf ppf python rvs scipy-stats
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/coderooz/handwritten_digit_recognition
This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.
colab handwritten-digit-recognition image-classification matplotlib neural-network numpy python tensorflow
Last synced: 03 May 2026
https://github.com/takana671/noisetexture
Generating noise texture images.
cellular-noise cython domain-warping fractal noise-textures numpy periodic-noise perlin-noise python3 simplex-noise tileable-noise value-noise voronoi
Last synced: 03 May 2026
https://github.com/feguedi/clasificador-numeros
Proyecto final de la materia de Inteligencia Artificial donde se desarrolla un software que pueda clasificar los números de la base de datos MNIST.
artificial-intelligence numpy python3
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/joao-inacio/numpy-essencial-para-desenvolvedores-python
O curso foi elaborado para desenvolvedores Python que desejam explorar os recursos poderosos da biblioteca NumPy. Através de aulas práticas, eu vou adquirir as habilidades necessárias para trabalhar com arrays multidimensionais, realizar cálculos científicos complexos e manipular dados com eficiência.
array array-manipulations array-methods jupyter-notebook numpy python python3
Last synced: 03 May 2026
https://github.com/fnfkkengine/website-performance-data-analysis-project
🌐 Analyze website performance data to gain insights on user engagement, traffic trends, and optimize your digital presence effectively.
analysis analytics dashboard data-analyst data-collection data-preprocessing data-visualization dax funnel-analysis jupyter-notebook matplotlib mysql numpy paid-search power-query project-management python storytelling
Last synced: 04 May 2026
https://github.com/egorumaev/2024-ab-tests-metrics
Анализ соответствия размера выборки и плановых значений метрик A/B-теста
latex monte-carlo-method numpy pandas statmodels
Last synced: 04 May 2026
https://github.com/yareva/linear-regression-predictor
Linear Regression Predictor Model
matplotlib numpy pandas python sckit-learn
Last synced: 04 May 2026
https://github.com/dr-rompecabezas/medical-data-visualizer
[freeCodeCamp] Medical Data Viz Jupyter Notebook built with Matplotlib and Seaborn
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/winterwind/covid19_transfer_learning
A larger data science project that uses a 2D Convolutional Neural Network to determine the likelyhood of having covid-19 via CT images
2d-convolution adam-optimizer binary-classification cnn convolutional-neural-networks ct-images ct-scans eigencam gradcam heatmap jupyter-notebook matplotlib matplotlib-pyplot neural-networks numpy pyplot python pytorch resnet-18 transfer-learning
Last synced: 04 May 2026
https://github.com/bpkaur/whats-in-a-name
Exploring dataset of first names of babies born in the US in order to uncover interesting stories
data-analysis datacamp numpy pandas python3
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/dmdlgg/calculadora_de_indicadores_estatisticos
Uma calculadora que retorna a média, mediana, desvio padrão, quartis e variância dos dados inseridos pelo usuário. Tecnologias utilizadas: Flet, Python e Numpy. (Ainda em andamento)
Last synced: 04 May 2026
https://github.com/mchenryspagg/investigate_a_dataset
This is a data analysis project that demonstrates the student's ability to use python data analysis libraries such as pandas, numpy and pyplot in matplotlib to investigate a dataset and answer specific questions from the dataset, thus demonstrating skills in data cleaning, data wrangling, and exploratory data analysis.
data-analysis datetime descriptive-analysis descriptive-statistics exploratory-data-analysis numpy pandas pyplot python visualization
Last synced: 04 May 2026
https://github.com/ersinerzurum/monai
2D-3D segmentation using monai
artificial-intelligence cv2 deep-learning ipynb jupiter-notebook mathplotlib monai numpy os python pytorch segmentation
Last synced: 04 May 2026
https://github.com/miozilla/fescarefine
fescarefine :skier::mount_fuji::guide_dog: : Refine & Test ML Models # Features Scaling # Normalization # Datasets
gradient-descent linear-regression matplotlib model-testing mse norm numpy ols overfit pandas scatter seaborn sklearn standardization statsmodels underfit
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/omogbolahan94/handwashing-history-analysis
Data Wrangling and Analytics
matplotlib numpy pandas plotly scipy seaborn statistical-analysis
Last synced: 04 May 2026
https://github.com/charlenry/machine_learning_estimer_prix_voiture
Projet de Machine Learning pour estimer le prix d'une voiture d'occasion via une application
joblib jupyter-notebook matplotlib-pyplot numpy oop-python pandas plotly-express python sklearn-linear-model sklearn-linear-regression
Last synced: 04 May 2026
https://github.com/mariiasam/stroke-prediction
A model for predicting the risk of stroke in a patient
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Last synced: 04 May 2026
https://github.com/hyperplasma/olympic-visualization-analysis
Multidimensional analysis and visualization of Olympic medals, economy, and happiness index.
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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/silbena/gibbssampler
Gibbs Sampler for a simple mortgage model.
gibbs-sampler gibbs-sampling numpy python
Last synced: 04 May 2026
https://github.com/wwwmisla/gerador-mapas-calor
Sistema de visão computacional para gerar mapas de calor com base na movimentação em espaços públicos, auxiliando no planejamento urbano e uso eficiente do espaço.
color computer-vision demo google-colab gradio heatmap marchine-learning matplotlib model numpy opencv people-detection python smart-city ufrn visao-computacional vision-computer yolo yolov8
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/ronitjariwala/-prodigy_ds_01
Prodigy InfoTech Data Science Internship Task-1
matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/pedasoft-consult/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
machine-learning matplotlib numpy pandas python seaborn sklearn
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
