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/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: 12 Apr 2026
https://github.com/varuntotakura/face-recognition
My own code for Face Recognition using Python
face-recognition numpy opencv python tensorflow
Last synced: 09 Apr 2026
https://github.com/khushi130404/catnet
CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.
h5py matplotlib numpy pillow scipy
Last synced: 12 Apr 2026
https://github.com/jeslipriya/emotion-detection
This project is an enhanced real-time facial emotion detection system that uses deep learning (OpenCV + mini-XCEPTION) to accurately recognize human emotions through a webcam or image input. It features advanced preprocessing, temporal smoothing, and a clean visual interface for smooth and stable emotion analysis.
7-emotions deep-learning emotion-detection fer2013 numpy opencv opencv-python python tensorflow
Last synced: 03 Jul 2025
https://github.com/c-mohammed-zaid/python
A diverse collection of Python projects showcasing skills in game development, data manipulation, and utility tools, including classic games, encryption, and data analysis.
jupyter-notebook matplotlib numpy pandas python scipy turtle
Last synced: 06 Jan 2026
https://github.com/chmohit91/Introduction-to-Python
A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners
matplotlib numpy pandas plotly python python-library python3 seaborn
Last synced: 21 Jul 2025
https://github.com/kareem74x/data-mining-uni-project
A project focused on applying data mining techniques to extract insights from datasets
data-mining matplotlib numpy pandas python
Last synced: 25 Feb 2026
https://github.com/ds-python-programmers-spectrum/flipkart-sentimental_analysis-app
The Flipkart Sentiment Analysis project aims to analyze customer reviews of Flipkart products using Natural Language Processing (NLP) and visualize insights through a Streamlit-based web application. This system will classify customer feedback as positive, negative, or neutral
machine-learning nltk numpy pandas sentiment-analysis streamlit-webapp textblob vader-sentiment-analysis
Last synced: 22 Jun 2025
https://github.com/akashash01/navie_bayes
It's an simple probabilistic classifiers based on applying Bayes theorem with strong independence assumptions between the features. Highly effective for text sequence oriented data(independent variables).
data-science machine-learning numpy pandas python sklearn supervised-learning
Last synced: 09 Apr 2026
https://github.com/sayan520/titanic-data-insights
Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.
jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/asier-ortiz/ai-course-notebooks
AI course Notebooks and Exercises
keras matplotlib numpy pandas python seaborn skit-learn tensorflow
Last synced: 12 Apr 2026
https://github.com/rohitinu6/image_cartoonify
To Cartoonify an Image using opencv-python
image-processing matplotlib numpy opencv opencv-python python
Last synced: 12 Apr 2026
https://github.com/tnleite/credit-card-customer-clustering
Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.
classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn
Last synced: 07 May 2026
https://github.com/arrmansa/leetcode-nice-solutions
Some solutions for leetcode problems that I found fun - either the algorithm or using numpy bruteforce where it shouldn't be
leetcode leetcode-python leetcode-python3 leetcode-solutions numpy python python3
Last synced: 16 Mar 2025
https://github.com/rahulsm20/insurance-data
A data analytics project dealing with risk assessment and it's effects in health insurance.
data-analysis data-analytics machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/aneeshmurali-n/python-tasks
Here we are going to learn data science and python by doing tasks by task
data-science data-visualization exploratory-data-analysis filter lambda lambda-functions map-reduce matplotlib numpy oops-in-python pandas python python-fundamentals regex regular-expression
Last synced: 12 Apr 2026
https://github.com/shreenidhi7700/skimlit-project
Natural Language Processing Project -SKIMLIT
google-colab lstm-neural-networks numpy pandas python3 rnn-tensorflow tensorflow
Last synced: 09 Apr 2026
https://github.com/sumitkundu102022/ecobuddy
EcoBuddy: Personalized Carbon Footprint Tracker
bcrypt numpy pandas plotly pymongo python-dotenv requests streamlit
Last synced: 12 Apr 2026
https://github.com/naveen88112/healthcare
HealthCare Data Analysis and Forecasting This project examines healthcare data by processing missing values with KNN imputation, preprocessing features, and training classification models (Logistic Regression and Random Forest). The output includes performance metrics such as accuracy, confusion matrix, precision, recall, and ROC analysis.
data-visualization feature-engineering machine-learning model-evaluation numpy pandas python scikitlearn-machine-learning
Last synced: 12 Apr 2026
https://github.com/parth-jatav/super-store-analysis-project
The Super Store Analysis project leverages Python libraries such as pandas, matplotlib, and numpy to perform a comprehensive analysis of a retail store's data. This project includes data cleaning, visualization, and statistical analysis to identify key trends, optimize inventory, enhance decision-making processes for improved business performance.
data-analysis matplotlib numpy pandas python super-store
Last synced: 12 Apr 2026
https://github.com/apal21/tensorflow-linear-regression-fit-data
Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.
gradient-descent linear-regression numpy python3 tensorflow
Last synced: 12 Apr 2026
https://github.com/mahmoudnamnam/superstore-analysis
This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.
clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/mostafa-ghorab/global-happiness-analysis
An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.
business-analysis data-analysis data-visualization matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/amira921/eda-and-visualization-netflix-movies-and-tv-shows
EDA for Netflix Movies and TV Shows
datacleaning datamanipulation datapreprocessing datavisualization exploratory-data-analysis insights matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/thariniselvakumar/kidney-disease-prediction
This project is about the kidney disease prediction using machine learning algorithms
machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge
backprop backpropagation classification classifier data forest kaggle layer learn mlp multi numpy pandas perceptron random science scikit sklearn titanic
Last synced: 12 Apr 2026
https://github.com/ledsouza/python-powerbi
Desenvolver uma dashboard para análise do mercado financeiro utilizando Python e Power BI
etl matplotlib numpy pandas powerbi python seaborn
Last synced: 12 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-distribution-cumulative-graph
A demo of creating a 3d distribution cumulative graph.
3d cumulative distribution graph matplotlib numpy pandas python web
Last synced: 12 Apr 2026
https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app
An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.
dataanalytics matplotlib numpy pandas python seaborn streamlit
Last synced: 12 Apr 2026
https://github.com/data-analysis-python/pandas_api_spark
Uso del API de pandas en Spark
envs jupyter-notebook matplotlib numpy pandas pyspark python3 terminal
Last synced: 12 Apr 2026
https://github.com/emhash/machine-learning-and-ai
Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.
ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow
Last synced: 05 Jan 2026
https://github.com/rajaditya01/refactored_py_ds_ml_bootcamp
Learning ML
deep-learning eda machine-learning numpy pandas python static
Last synced: 12 Apr 2026
https://github.com/filip-kustura/python-covid-19-behaviors-analysis
Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.
covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python university-project
Last synced: 12 Apr 2026
https://github.com/lijesh010/employeeanalysis-
This is a simple data analysis project developed as part of my Entri Elevate Data Science and Machine Learning course. It serves as a practical demonstration of my skills in data analysis.
jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/fabricioarendtorres/streamauc
Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..
classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic
Last synced: 06 Jan 2026
https://github.com/lorenzorottigni/ml-universities
Machine Learning python bootcamp: K mean clustering with public/private universities dataset
k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/rizkyrajitha/ann_101
A really simple neural network for binary classification written from scratch using python
Last synced: 08 May 2026
https://github.com/alisonmitchell/countries-of-the-world
Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).
data-science machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/bhushan148/ipl-stats-analysis
This project explores IPL data to show team and player performances. 📈 Key highlights include analyzing match results, highest scores, and performance at different venues. 🏟️ It uses charts to reveal trends like win margins and average scores by venue. 📉 Discover important insights into what affects match outcomes and team success.
jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/visu512/spotify-music-recommender
Built Spotify Music recommendation system using Machine learning
csv-files dataset jupyter-notebook kmeans-clustering machine-learning matplotlib numpy panda python scikit-learn spotify-api stream vscode
Last synced: 12 Apr 2026
https://github.com/constraintautomaton/client_pgu1
The client part of the PgU1 project it. It command the robot and do the video processing
numpy opencv paramiko pyqt5 python3 raspberry-pi-3
Last synced: 12 Apr 2026
https://github.com/22p31a0512/sentimental-analysis
Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.
feature-engineering machine-learning natural-language-processing numpy pandas python supervised-learning text-classification text-processing tokenization
Last synced: 12 Apr 2026
https://github.com/akashkg03/facial-expression-image-classification
This notebook involves to build a facial expression image classifier which categorizes facial expressions into one of seven emotions: anger, disgust, fear, happiness, sadness, surprise, and neutral.
jupiter-notebook numpy pandas python
Last synced: 28 Apr 2026
https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff
Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782
data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics
Last synced: 11 Apr 2026
https://github.com/knightkun77/image_classification_project
Image Classification Using Python
keras machine-learning matplotlib numpy opencv python tensorflow tikinter
Last synced: 24 Jan 2026
https://github.com/sonatipek/matris_transactions_py
My "Python Programlama-I" lesson's homework. Some matris transactions with numpy library in Python
matrix numpy numpy-arrays python sonatipek
Last synced: 24 Mar 2025
https://github.com/sothulthorn/stock-prediction-portal
The Stock Prediction Portal is a full-stack web application that demonstrates how to use machine learning models to analyze stock market data and forecast future trends.
axios django django-rest-framework javascript keras matplotlib numpy pandas python react tensorflow yfinance
Last synced: 02 Apr 2026
https://github.com/vasulab/knightshock
Shock tube experiment planning and data analysis package.
cantera data-analysis matplotlib numpy shock-tube
Last synced: 18 Jul 2025
https://github.com/hariprasath-v/av-job-a-thon-november-2022
Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.
exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting
Last synced: 12 Apr 2026
https://github.com/akashkg03/feynn-labs-internship
This repository contains the projects I did as a Data Science intern with Feynn Labs.
data-science machine-learning matplotlib numpy pandas python scipy seaborn
Last synced: 07 Jan 2026
https://github.com/prarthana-singh/potato-disease-classification-using-deep-learning
🌱 Potato Disease Classification using Deep Learning – A deep learning-based model to detect and classify potato plant diseases using image processing and CNNs. Built with TensorFlow/Keras & Python.
agriculture cnn deep-learning image-classification keras machine-learning neural-network numpy pandas plant-disease-detection python3 streaming tensorflow
Last synced: 12 Apr 2026
https://github.com/Sadegh-Khedry/Pneumonia-Detection-Using-CNN
Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).
cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow
Last synced: 12 Apr 2026
https://github.com/alejoduarte23/bs6472
Serviceability assessment as per BS 6472 for human exposure to vibration in buildings Vibration sources other than blasting
matplotlib numpy pydantic scipy
Last synced: 07 Jan 2026
https://github.com/shivsharcode/diabetes-prediction-new
DIABETES PREDICTION MODEL
flask jupyter-notebook logistic-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/otuemre/housepricingml
A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.
eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression
Last synced: 13 Apr 2026
https://github.com/shohail-dev/ai-medical-model
keras matplotlib numpy pandas pyplot scipy sklearn-metrics tensorflow
Last synced: 07 Jan 2026
https://github.com/reckonsys/datascience-docker
A docker image with numpy, scipy, nltk and pandas pre-installed with pip
docker docker-image dockerfile nltk numpy pandas scipy
Last synced: 10 Mar 2025
https://github.com/ericchw/youth_discord_nlp_chatbot
A python AI chatbot with emotion detection model. Frontend using PHP, API using Flask and database using PostgreSQL. Collaborate with CyberYouth from SJS. @HKMU 2022-2023 FYP
ai bootstrap chatbot chinese-nlp docker emontion-detection flask jquery machine-learning nlp nlp-machine-learning nltk numpy pgsql php postgresql pycord torch transformers
Last synced: 21 Jan 2026
https://github.com/andrewzhoumq123/sci_graph_api
Generates different types of detailed plots for scientific data
fastapi h5py json matplotlib numpy pandas scipy
Last synced: 12 Apr 2026
https://github.com/skywalkerSam/Python-101
Introduction to Python 3
bootcamp django flask jupyter-notebook matplotlib ml numpy pandas python-bootcamp python-development python-scripting python3 web-scraping
Last synced: 23 Apr 2025
https://github.com/ahmedabdalkreem/animals_classification
This project is dependent to make classification between faces of cats, dogs and wild_animals and use multiple model such as CNN and pretrained model like ResNet and MobileNet and show the result of all model in the image using heatmap to know what is the part that model take decision when see it.
classification cnn heatmap matplotlib mobilenet numpy opencv pandas pretrained-models python restnet
Last synced: 12 Apr 2026
https://github.com/m-rishab/job-recruitment-prediction-and-hr-dashboard-using-plotly
This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.
correlation-analysis flask kmeans-clustering numpy pandas plotly python scikit-learn seaborn standardscaler
Last synced: 12 Apr 2026
https://github.com/soumyapro/heart-disease-prediction
This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.
logistic-regression numpy pandas simpleimputer sklearn
Last synced: 21 Jan 2026
https://github.com/nakshjainsonigara/football-eda
This EDA offers a comprehensive exploration of football analytics, leveraging Python libraries to analyze players, club games, and various other aspects of the sport. Through statistical analysis and visualization, we uncover insights into player performance, club strategies, and league dynamics providing valuable insights for football enthusiasts.
dash exploratory-data-analysis matplotlib numpy pandas plotly python scipy seaborn statistics
Last synced: 07 Jan 2026
https://github.com/hariprasath-v/av_job-a-thon-august-2022
Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.
exploratory-data-analysis klib machine-learning matplotlib numpy pandas pycaret-library regression seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/ieCecchetti/Python_ML_DL_examples
A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme
bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi
Last synced: 10 Mar 2025
https://github.com/abideen-olawuwo/logistic-regression-house-prediction
Using logistic Regression Model to predict house price
logistic-regression matplotlib numpy pandas python seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/raghavendra317/brain-tumor-detection
A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.
cnn-classification keras numpy opencv scikit-learn tensorflow
Last synced: 12 Apr 2026
https://github.com/nilayhangarge/data-analysis-with-python
This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.
data-acquisition data-analysis data-analytics data-binning data-cleaning data-engineering data-fundamentals data-insights data-integration data-preprocessing data-science data-wrangling numpy pandas python
Last synced: 12 Apr 2026
https://github.com/d1ogocs/afinador-de-instrumentos
Desenvolvimento de um afinador que se ajusta automaticamente ao instrumento musical escolhido pelo utilizador
butterworth-filter instrument-tuner matplotlib numpy pyaudio python scipy threading tkinter
Last synced: 07 Jan 2026
https://github.com/konynour/facedectection
This project demonstrates real-time face detection using OpenCV and a pre-trained SSD (Single Shot MultiBox Detector) model. The system captures video from a camera, processes the frames, detects faces, and displays the results with bounding boxes and confidence scores. This application showcases the use of deep learning models for object detection
cv2 jupyter-notebook lambda-functions matplotlib numpy opencv python3
Last synced: 12 Apr 2026
https://github.com/mairagalvao/steak_risk_data
A data analysis based on correlations and comparisons among the samples.
database matplotlib numpy pandas python3 sql
Last synced: 12 Apr 2026
https://github.com/aqueeqazam/numpy-for-mathematical-computing
You're at the perfect spot if you're interested in developing your career in data science or machine learning, or if you just enjoy having fun with mathematical operations.
mathematics numpy numpy-arrays
Last synced: 19 Apr 2026
https://github.com/chenshuliu/python-guide-to-numpy
This repository is dedicated to explaining the functionalities of Numpy in Python
Last synced: 18 Jan 2026
https://github.com/supriya811106/twitter-sentiment-analysis
Analyzing the mood of tweets! We sort tweets on popular topics into positive, negative, or neutral categories to gauge public opinion. See what Twitter really thinks!
bernoulli-naive-bayes jupyter-notebook matplotlib nlp-machine-learning nltk numpy pandas python scikit-learn seaborn sentiment-analysis text-classification tfidf-vectorizer wordcloud
Last synced: 05 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-wireframe-graph
A demo of creating a 3d wireframe graph.
3d graph matplotlib numpy pandas python web wireframe
Last synced: 12 Apr 2026
https://github.com/AsuquoAA/CDC_2017_Immunization_Data_Analysis
This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.
Last synced: 21 Jul 2025
https://github.com/2kabhishek/ml-primer
Basic Machine Learning & Data Science in Python/ 📈🐍
jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/shreyazh/respire
To deal with Respiratory Challenges
machine-learning matplotlib numpy pandas pillow python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/abdulsamie10/convolutionneuralnetworkcifar-10
CNN applied on Cifar-10 database.
cifar-10 cifar-10-dataset cifar10 cnn colab-notebook convolutional-neural-network deep-learning jupyter jupyter-notebook machine-learning notebook numpy python python-3 python3 pytorch
Last synced: 12 Apr 2026
https://github.com/trissim/polystore
Framework-agnostic multi-backend storage abstraction for ML and scientific computing
backend data io jax ml multi-framework numpy pytorch scientific-computing storage tensorflow zarr
Last synced: 12 Apr 2026
https://github.com/rayniel95/erecog
Simple ethnicity classifier using transfer learning with VGG. // unfinished
artificial-intelligence artificial-neural-networks artificialintelligence deep-learning deeplearning-ai ethnicity-classifier fairface-dataset jupyter-notebook keras machine-learning machinelearning machinelearning-python neural-networks notebook-jupyter numpy pandas-python python python3 sckit-learn
Last synced: 12 Apr 2026
https://github.com/marcelovilla/fire-congress-2019-tdf-talk
This repository contains the code used for the project presented in the "Fire activity on the Colombian Tropical Dry Forest: an environmental and social perspective" talk during the 8th International Fire Ecology and Management Congress.
earth-observation ecology fire-activity gdal latex matplotlib modis numpy pandas python remote-sensing requests seaborn tikz trmm xarray
Last synced: 12 Apr 2026
https://github.com/riya2624/heart-disease-diagnostic-analysis
Analyzed heart disease diagnostic data through an ETL process, ensuring data accuracy and readiness for analysis using Python (Pandas, NumPy, Matplotlib, Seaborn). Conducted comprehensive exploratory data analysis (EDA) to uncover trends related to heart disease rates by gender and age. Developed interactive dashboards with Power BI and Tableau
dashboard dax-query eda machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/azaz9026/machine_learning_algorithms
Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.
machine-learning machine-learning-algorithms numpy pandas python3 seaborn sklearn-library
Last synced: 12 Apr 2026
https://github.com/ankitmishralive/machinelearning
Continuously deep diving in understanding & advancing my expertise in Machine Learning through ongoing education and hands on experience with practical learning.
artificial-intelligence data-analysis data-cleaning data-gathering machine-learning machinel-learning-algorithms matplotlib numpy pandas python seaborn
Last synced: 22 Mar 2025
https://github.com/ishtufinquant/portfolio-optimizer
Optimizes stock portfolios using simulation and real-world constraints (SLSQP).
backtesting finance numpy pandas portfolio-optimization python quant scipy yfinance
Last synced: 12 Apr 2026
https://github.com/subhamsarangi/pdnp
Data Analysis using Python
matplotlib numpy pandas python3
Last synced: 12 Apr 2026
https://github.com/ompreetham/nlp-sentiment-analysis-document-scoring-method
NLP Sentiment Analysis Document Scoring Method
countvectorizer document joblib nlkt nlp numpy pandas project re scoring sentiment-analysis sklearn
Last synced: 12 Apr 2026
https://github.com/ben854719/wasde-revenue-in-2024
The project will use AI to analyze the revenue from the dataset of the World Agricultural Supply and Demands Estimates.
gemini langchain large-language-models matplotlib numpy pandas-python
Last synced: 12 Apr 2026
https://github.com/purcellcjp/credit-risk-classification
This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.
machine-learning numpy pandas-dataframe python scikit-learn
Last synced: 12 Apr 2026
https://github.com/anupreet02/deep-learning-challenge
The objective of this analysis is to develop a deep learning model capable of predicting whether a charity funded by Alphabet Soup is likely to be successful. The model is built using the charity dataset, which contains various features related to each charity, and is used to classify charities as successful or not based on these features.
numpy pandas sckit-learn tensorflow
Last synced: 12 Apr 2026
https://github.com/llwusill/firepredictioncnn
CNN kullanarak Orman Yangını Tahmin/Tespit Sistemi
matplotlib numpy opencv-python pandas sckiit-learn seaborn tensorflow
Last synced: 12 Apr 2026
https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis
This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R
classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow
Last synced: 02 Feb 2026
https://github.com/necraul/perlin-noise-py
Some examples of generating perling noise using Python
noise numpy perlin-noise python python3 vector
Last synced: 11 Mar 2025