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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/pramodyasahan/titanic-survival
This repository contains a machine learning project focused on predicting the survival of passengers on the Titanic. The project uses a Support Vector Regression (SVR) model from the sklearn library and involves data preprocessing and prediction.
data-preprocessing matplotlib numpy pandas python scikit-learn support-vector-regression
Last synced: 08 Apr 2026
https://github.com/tushar365/titanic---machine-learning-from-disaster
"Titanic: Machine Learning from Disaster" is a classic Kaggle competition for beginners https://www.kaggle.com/competitions/titanic. The goal is to use machine learning to predict which passengers survived the sinking of the Titanic based on historical data. This teaches data analysis and model building skills in a real-world context.
data-science dicision-tree logistic-regression machine-learning matplotlib-pyplot numpy pandas python seaborn
Last synced: 19 Apr 2026
https://github.com/kumpatlapavankumar/recognizing-flowers-with-convolutional-neural-networks
This project uses a Convolutional Neural Network (CNN) to classify flower images into five categories: Daisy, Dandelion, Rose, Sunflower, and Tulip. The model is trained on the Flowers Recognition dataset with image augmentation techniques to enhance generalization.
cnn-keras coding data-science deep-learning enjoying flower-classification machine-learning numpy opencv2 pandas pathlib pillow python tensorflow testing training
Last synced: 08 Apr 2026
https://github.com/vyjayanthipolapragada/human_detection_hog
Detect humans in real-time, image or video and count the detected people using OpenCV and HOG Descriptor
computer-vision easygui hog-descriptor human-detection image-processing imutils numpy opencv os python support-vector-machine
Last synced: 06 May 2026
https://github.com/suryavamsi-p/youtube-trends-and-tracks-engagement
This project aims to leverage Python’s robust visualization libraries to derive deep insights from YouTube video trends data. Using the 'youtube.csv' dataset, this analysis explores the dynamics of YouTube video attributes such as views, likes, dislikes, and comment counts to understand user engagement and their emotional insights.
dash datavisualization hypothesis-testing matplotlib normality-test numpy pandas python3 scipy seaborn visual-studio-code
Last synced: 03 Nov 2025
https://github.com/praju-1/data_science_projects
It contains the necessary code, datasets, and documentation to understand, replicate, and build upon the project's findings and methodologies.
data-science datasets deep-learning exploratory-data-analysis machine-learning matplotlib numpy pandas predictive-analytics python seaborn sklearn statistics visualization
Last synced: 08 Apr 2026
https://github.com/singhvishal003/email-spam-detector-model
Email Spam Detector model to detect spam messages.
Last synced: 08 Apr 2026
https://github.com/dennis-mureti/final-data-analysis-data-science
African financial crisis data analysis
machine-learning matplotlib numpy pandas python seaborn
Last synced: 08 Apr 2026
https://github.com/ricomeetsworld/ml-roadmap
Opinionated roadmap to machine learning in 2023
conda huggingface machine-learning matplotlib numpy pandas python pytorch
Last synced: 06 Apr 2025
https://github.com/mr-chang95/datascience_airbnb
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
airbnb data-analysis data-science data-visualization jupyter-notebook numpy pandas python sklearn
Last synced: 08 Apr 2026
https://github.com/omarsaad21/credit-train-data-science-project
This a full web application to predict the credit score of clients plus I did many visulizations to express many insights in chart
eda matplotlib ml numpy pandas python sklearn streamlit-webapp
Last synced: 09 Apr 2026
https://github.com/salamanderxing/jax-gaussian-bayes
A Multivariate Gaussian Bayes classifier written using JAX
cifar10 gaussian-bayesian-processes gaussian-naive-bayes jax multivariate-gaussian naive-bayes-classifier numpy xla
Last synced: 27 Apr 2026
https://github.com/caioandrian/data-analyst-procon
Análise dos dados do Procon, período de 2013 à 2016.
Last synced: 11 Apr 2026
https://github.com/sahilmaurya28/youtube-data-analysis
YouTube Data Analysis using Python — uncovering trends, engagement patterns, and correlations between likes, comments, views, and categories to understand what drives content success.
analysis data-analysis data-visualization matplotlib-pyplot numpy pandas portfolio-project python seaborn youtube
Last synced: 13 Apr 2026
https://github.com/nskamaleshmani/exoseeker
🌌 Discover and analyze exoplanets with ExoSeeker, a tool designed for efficient world-hunting using Python and data visualization techniques.
exoplanet-transits exoplanets gradient-boosting machine-learning matplotlib nasa nasa-data nasa-spaceapps-challenge numpy pandas perceptron-neural-networks random-forest streamlit
Last synced: 03 Nov 2025
https://github.com/utkarsh251106/tracking-with-yolo
This project uses YOLOv8 and DeepSORT to detect and track children and adults in video streams. It assigns unique IDs, handles re-tracking after occlusions, and outputs an annotated video with labeled bounding boxes.
computer-vision deep-learning deepsort machine-learning numpy opencv python torch ultralytics yolov8
Last synced: 30 Jan 2026
https://github.com/nishthasharma-22/binary-black-hole-merger-gravitational-waves-simulation
Repository of all astronomy related projects, including: Gravitational Waves graph from binary black hole merger
astrophysics blackhole-merger gravity-simulator matplotlib numpy python scipy
Last synced: 05 May 2026
https://github.com/thavinduushan/object-detection
Application developed for real-time object detection and counting utilizing COCO dataset
Last synced: 15 Apr 2026
https://github.com/hawkharsh1/house-price-pridiction-model-using-ann
A deep learning-based regression model built using Artificial Neural Networks (ANN) in PyTorch to predict house prices from structured data. This project demonstrates the application of machine learning and deep learning techniques for solving real-world problems in the housing domain.
artificial-neural-networks deep-neural-networks machine-learning numpy pandas python3 pytorch scikit-learn
Last synced: 08 Apr 2026
https://github.com/ijproject/calculate-absorption-rate
大気を構成する分子ごとの赤外線吸収割合を計算するプログラム。
Last synced: 11 May 2026
https://github.com/cyberlument/opencv-colormasking-red-
This mini project opencv is for educational purpose.
numpy opencv opencv-python pycharm vscode
Last synced: 20 Jan 2026
https://github.com/caefleury/cis-ieee-difusion-model
Repositório teste para códigos do projeto de Modelo de Difusão do branch CIS-IEEE
docker docker-compose numpy python3 tensorflow
Last synced: 08 Apr 2026
https://github.com/chawthinn/car-price-prediction-regression-ml
This project predicts used car prices using regression models including Linear, Ridge, Random Forest, XGBoost, and LightGBM. It covers preprocessing, EDA, model evaluation, hyperparameter tuning, and model persistence using Scikit-learn and related libraries.
car-price-prediction lgbmregressor linearregression numpy pandas python scikit-learn xgbregressor
Last synced: 08 Apr 2026
https://github.com/babagata/praktikum-4-data-analysis
Data analysis for course "Physics laboratory IV"
Last synced: 28 Apr 2026
https://github.com/asut00/python-piscine_42ai
Python Bootcamp: A one-week intensive course with 42AI at École 42, covering Python fundamentals, data manipulation, and introductory AI concepts.
matplotlib numpy pandas python
Last synced: 07 May 2026
https://github.com/chandkund/image-classification-using-the-mnist-dataset
Image Classification using the MNIST dataset. This project leverages a Convolutional Neural Network (CNN) to recognize and classify handwritten digits with high accuracy. Includes data preprocessing, model architecture, and evaluation. Explore the code and results here!
computer-vision data-science machine-learning matplotlib numpy pandas python
Last synced: 08 Apr 2026
https://github.com/anas436/analyzing-automobile-data-set-using-python
jupyter-notebook numpy pandas python3
Last synced: 08 Apr 2026
https://github.com/raghavendranhp/airbnb-data-analysis
The Airbnb Data Analysis project focuses on analyzing Airbnb data using MongoDB Atlas, Python scripting, data preprocessing, visualization, and interactive geospatial insights. We delve into the world of property management and tourism to uncover trends, pricing variations, and location-based analysis.
eda jupyter-notebook mongodb numpy pandas powerbi preprocessing
Last synced: 08 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/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.
keras nlp nltk numpy python tensorflow tokenizer transformers
Last synced: 02 Jan 2026
https://github.com/rdvdev2/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: 22 Mar 2025
https://github.com/najmulislamnajim/election_data_analysis
css django html javascript numpy pandas python
Last synced: 08 Apr 2026
https://github.com/anmamun0/data-analysis-home-cleaning-services
This repository contains the analysis and visualization of data from a home cleaning services dataset. The project provides valuable insights into revenue generation, customer trends, and regional performance, helping businesses make data-driven decisions.
Last synced: 05 Mar 2025
https://github.com/bala-1409/peerloankart-loan-fraud-detection-datascience-project
This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.
correlation data-analysis data-cleaning data-science data-visualization dimensional-analysis eda exploratory-data-analysis feature-engineering gradient-boosting-classifier hyperparameter-tuning juypter-notebook machine-learning machine-learning-algorithms numpy pandas predictive-modeling python3 scikitlearn-machine-learning supervised-learning
Last synced: 08 Apr 2026
https://github.com/muhkartal/e-forecast
machine learning-powered energy consumption prediction system that analyzes historical data to forecast future energy usage trends, optimizing efficiency and sustainability.
fastapi joblib matplotlib numpy pandas pydantic pytest sckit-learn seaborn tensorflow tqdm uvicorn xgboost yaml
Last synced: 08 Apr 2026
https://github.com/sanjana-bongale/cancer_survival_data_analysis_and_prediction_using_logistic_regression
This project performs data analysis using Python to predict cancer patient survival outcomes. It involves data cleaning, exploratory analysis, and visualizations to explore factors like cancer type, stage, and treatments. A logistic regression model is built to predict patient survival based on demographic and medical data.
data-analysis data-cleaning data-science data-visualization eda jupyter-notebook kaggle logistic-regression machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/abdullahkhurshid/lung-cancer-prediction
Exploring predictive machine learning for cancer prevention
data-visualisation keras-neural-networks machinelearning matplotlib numpy pandas python scikit-learn seaborn seaborn-python
Last synced: 08 Apr 2026
https://github.com/rosacarla/projetodio_covid19
Projeto desenvolve modelos com Python e Machine Learning para prever a evolução do COVID-19 no Brasil
etl machine-learning numpy pandas python
Last synced: 08 Apr 2026
https://github.com/shdrn2402/budget-analytics
Analyze a family's two-year spending in Israel to uncover trends, optimize budgets, and compare consumption patterns using Python, Pandas, and visualization tools.
jupyter-notebook matplotlib numpy pandas python seaborn visualization
Last synced: 08 Apr 2026
https://github.com/mondalbidisha/landmark-recognition
A solution for identifying and recognizing landmarks from images, addressing key challenges and leveraging both algorithmic and human expertise to achieve high accuracy and reliability.
jupyter-notebook kaggle kaggle-datasets numpy pandas python3
Last synced: 08 Apr 2026
https://github.com/beolawork-art/novabank-churn-analysis
NovaBank has noticed that customers are closing accounts or going inactive, and they want to understand why.
data-analysis data-science-projects data-visualization eda machine-learning numpy pandas python scikit-learn sql
Last synced: 08 Apr 2026
https://github.com/shahbazshaddy/explainable-multimodal-ai-for-breast-cancer-and-pneumonia-prediction
A deep learning-based framework integrating explainable multimodal AI for accurate prediction and transparent diagnosis of breast cancer and pneumonia.
deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit
Last synced: 08 Apr 2026
https://github.com/hansalemaos/cppradixsort
parallel_radixsort from C++ for Python (Windows)
cpp numpy parallel-computing python sort
Last synced: 05 Feb 2026
https://github.com/dmarks84/coursework_project_boston-data-project
Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing
communication data-modeling data-reporting dataframes eda hypothesis-testing matplotlib numpy pandas probability python scipy seaborn statistics visualization
Last synced: 08 Apr 2026
https://github.com/barraharrison/seoul-bike-sharing
Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system
jupyterlab matplotlib numpy pandas python scikit-learn seaborn
Last synced: 23 Jul 2025
https://github.com/armahdavi/analytics_statistics_ML_plotting_dust_extraction_hvac_filters_ph2
PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available
data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics
Last synced: 17 Sep 2025
https://github.com/athari22/classification-with-python
IBM Project
classification-algorithm decisiontree decisiontreeclassifier ibm k-nearest-neighbor knn knn-classification logistic-regression lr matplotlib ml numpy pandas python sklearn sklearn-library support-vector-machine svm svm-classifier visualization
Last synced: 09 Apr 2026
https://github.com/abeertechcamus/documentdata
The dataset was cleaned and queried using Python inside Jupyter Notebook and visualizes using PowerBI Document Data Analysis Projects
dax jupyter-notebook numpy pandas powerbi python
Last synced: 04 May 2026
https://github.com/roluochke/real-estate-price-prediction-app
This is a data science project for a real estate price prediction website.
flask html-css-javascript jupyter-notebook matplotlib numpy python sklearn
Last synced: 09 Apr 2026
https://github.com/riyajain255/customer-segmentation-for-e-commerce
This project analyzes online retail data to segment customers using K-Means clustering and build classification models to predict those segments based on purchasing behavior.
customer-segmentation data-analysis kmeans-clustering logistic-regression machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn-plots
Last synced: 02 Apr 2026
https://github.com/zakintaliban/indonesia-train-passenger-forecasting
A project to analyze and forecast train passenger numbers in Indonesia using Python, Pandas, and Scikit-learn.
bps data-analysis data-science dataanalysis datascience forecasting indonesia kereta-api machine-learning machinelearning numpy pandas python scikit-learn scikitlearn seaborn time-series
Last synced: 29 Apr 2026
https://github.com/kushalagarwalla/netflix-movie-data-analysis
🚀 Netflix Data Analytics Project 🎬📊 | Analyzed 9K+ movies to uncover insights on genres, popularity, votes & release trends. Includes EDA, KPIs & visualizations using Python (Pandas, NumPy, Matplotlib, Seaborn). Supports data-driven content & engagement strategy.
data-analysis data-visualization jupyter-notebook numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/4ngelojr/ai-ml-cheatsheets
🗂️ Access essential AI and ML concepts with quick-reference cheatsheets for effective learning and project implementation.
bigdata cheatsheet computer-science convolutional-neural-networks data-science deep-learning dl excel hadoop keras linux neural-networks numpy pig plotly probability sql statistics
Last synced: 01 May 2026
https://github.com/jaketherealone/machinelearningtoolset
Collection of primary tools used in the field of machine learning - Written for numpy projects
machine-learning numpy python toolset
Last synced: 19 Jun 2026
https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning
Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.
exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization
Last synced: 27 Apr 2026
https://github.com/radithsandeepa/robot-path-visualizer
Welcome to Robot Path Visualizer! This tiny project uses Python, Pygame, and NumPy to replay a precomputed trajectory (x, y, θ). It rotates a robot sprite frame-by-frame and draws a trail, making it handy for diff-drive path playback, simulation demos, and quick visual debugging of robotics experiments.
animation numpy pygame python robot-simulation robotics trajectory-visualization
Last synced: 18 Sep 2025
https://github.com/jpcadena/cancer-classification
Breast cancer classification project.
cancer-detection classification data-analysis data-science deep-learning imblearn machine-learning neuronal-network numpy pandas pylint python scikit-learn supervised-learning tensorflow
Last synced: 09 Apr 2026
https://github.com/noxs1d/cv-emotion-classification
This project is a deep learning-based system for detecting human emotions from facial images using TensorFlow, OpenCV, and NumPy.
cnn cnn-classification dockerfile keras numpy opencv tensorflow transfer-learning
Last synced: 09 Apr 2026
https://github.com/spacebakery/crunchie-munchies-project
Analyze Data with Pyhton
Last synced: 27 Jul 2025
https://github.com/mayankmittal29/tensortinker_statistical_methods_in_ai
This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.
autoencoder-mnist cupy gmm-clustering image-segmentation matplotlib-pyplot mlp-classifier mlp-regressor mnist-dataset numpy pandas pca python3 pytorch roc-auc seaborn torch variational-autoencoder
Last synced: 09 Apr 2026
https://github.com/nguyenanhtuan1912/datatable-image-to-text
Repository này là đồ án môn học Computer Vision
computer-vision javascript nodejs numpy opencv python tesseract
Last synced: 09 Apr 2026
https://github.com/vyjayanthipolapragada/image_classifier_cnn_data_augmentation
A deep learning project using Convolutional Neural Networks (CNNs) to classify CIFAR-10 images. The model leverages data augmentation, batch normalization, and ReLU activation to improve performance and generalization. Includes training and evaluation scripts for multi-class image classification.
adam-optimizer convolutional-neural-networks data-augmentation deep-learning image-classification jupyter-notebook neural-networks numpy optimizer pandas python pytorch relu-layer
Last synced: 09 Apr 2026
https://github.com/v-mayya/resale-revolution
Empower Hacks Hackathon Submission
html matplotlib numpy pandas python sqlite streamlit
Last synced: 09 Apr 2026
https://github.com/jcardonamde/datasets_ml
This project analyzes cab and limousine travel data in New York City. This with the goal of predicting the total duration of trips within the city. Machine learning models were used.
data-science machine-learning machine-learning-algorithms matplotlib numpy pandas pipelines python seaborn sklearn
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: 19 Sep 2025
https://github.com/haseebulhassan437/lstm-next-word-predictor
A deep learning-based LSTM model for predicting the next word in a sequence using natural language processing techniques.
keras-tensorflow lstm numpy tensorflow
Last synced: 18 Apr 2026
https://github.com/rajireddy15/employee-attrition-prediction-hr-analytics-
Employee Attrition Prediction (HR Analytics) helps organizations analyze employee data, identify factors driving turnover, and predict attrition using machine learning and visual dashboards, enabling data-driven HR decisions and retention strategies.
data-cleaning data-collection data-manipulation data-preprocessing data-science data-visualization eda feature-engineering imbalanced-data machine-learning mysql-database numpy pandas
Last synced: 04 May 2026
https://github.com/kishanlalchoudhary/be-sem-8
BE SEM 8 Assignments
cpp deep-learning hpc keras matplotlib numpy openmp pandas scikit-learn seaborn tensorflow
Last synced: 28 Jul 2025
https://github.com/kikoveiga/feup-ia1
Artificial Intelligence (IA) First Project (2023/2024): BSc in Informatics and Computing Engineering @ FEUP
feup feup-ia feup-leic genetic-algorithms hill-climbing numpy pandas python simulated-annealing tabu-search
Last synced: 06 May 2026
https://github.com/epsoft/tex-classification
Tex Classification
classification classification-algorithm farsi matplotlib numpy pandas persian tensorflow tex-classification textvectorization
Last synced: 09 Apr 2026
https://github.com/shambac/shamboflow
Fierce tensorflow competitor
cuda cupy machine-learning numpy pypi-package
Last synced: 19 Feb 2026
https://github.com/arijitdas0211/live-image-capture-and-emotion-detection
colab-notebook numpy pandas python scipy
Last synced: 29 Jul 2025
https://github.com/morsalinislamshapon/diabetes-prediction-systemv3
This repository contains a machine learning model that predicts diabetes using user health data. It features an interactive web interface built with Streamlit and provides insights into model predictions through SHAP and permutation importance. 🐙🌟
jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp
Last synced: 29 Jul 2025
https://github.com/nathadriele/transaction_fraud_prevention_pipeline
Uma solução de detecção e prevenção de fraudes em transações financeiras, combinando Machine Learning, regras de negócio e análises estatísticas avançadas. O sistema oferece um dashboard interativo para monitoramento em tempo real, análise de dados e gestão de alertas de fraude.
data-analysis data-visualization docker fraud-prevention machine-learning matplotlib numpy pandas pipeline pytest python scikit-learn scipy seaborn streamlit tensorflow transaction xgboost
Last synced: 10 Apr 2026
https://github.com/ledsouza/MedPhys-BI
Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA
aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml
Last synced: 22 Sep 2025
https://github.com/abeed04/face-recognition-using-computer-vision-cv2
OpenCV (cv2) can be used for face recognition by detecting faces, extracting facial features, and comparing them to a database of known faces.
cmake cv2-library dlib-face-recognition face-recognition flask numpy pycharm-ide python
Last synced: 08 Feb 2026
https://github.com/werctfourth/python-border-autocrop2
Python script that crops borders from images v2
border crop image-processing libvips numba numpy python python3
Last synced: 17 May 2026
https://github.com/vigneshvaranasi/breast_cancer_detection
This project employs machine learning, focusing on Logistic Regression, to detect breast cancer using tumor-related features. The dataset is preprocessed, and the model achieves 100% accuracy on the test set. The goal is to gain insights into breast cancer factors and provide an effective detection solution.
jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/sakshithbillava/expense-manager
A web-based expense tracking app built with Python and Streamlit, featuring real-time updates, data visualization, user authentication, and MongoDB integration.
authentication data-visualization expense-manager matplotlib mongodb numpy pandas personal-finance python streamlit webapp
Last synced: 09 Apr 2026
https://github.com/muavia1/roman-urdu-poetry-generation-using-lstm
Here’s a short description you can add to your GitHub project: Roman Urdu Poetry Generator A deep learning project using LSTM and TensorFlow to generate Roman Urdu poetry. Trained on a poetry dataset and deployed with a Gradio interface for interactive text generation.
deep-learning gradio gradio-interface lstm model-training numpy pandas poetry-generator python tensorflow
Last synced: 09 Apr 2026
https://github.com/trivediayush/accident-and-drowsiness-detection
Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.
accident-detection accidents-analysis college-project cvzone dlib-face-detection dlib-face-recognition face-detection face-recognition imutils minor-project numpy opencv pandas python python3 yolov8
Last synced: 09 Apr 2026
https://github.com/owenl0000/housepricesproject
Kaggle Project
data-analysis data-science data-visualization gridsearchcv kaggle-competition kaggle-dataset linear-regression machine-learning machine-learning-algorithms numpy onehot-encoding ordinal-encoding pandas python random-forest-regression sckit-learn seaborn streamlit xgboost-regressor
Last synced: 09 Apr 2026
https://github.com/blinksta1ker/co2-prediction
EDA and Supervised ML model using Regression to predict Co2 Emissions from Vehicles
jupyter-notebook machine-learning numpy pandas python regression seaborn sklearn supervised-learning
Last synced: 09 Apr 2026
https://github.com/dpgitaccount/project-customer-segmentation-analysis-with-power-bi
This project segments customers based on their purchasing behavior to identify different target groups. It demonstrates skills in data analysis, clustering, and visualization using Power BI.
kmeans-clustering-algorithm linear-regression numpy pandas powerbi python seaborn segmentation
Last synced: 09 Apr 2026
https://github.com/klima7/numpynet
Convolutional Neural Network written from scratch using numpy with API similar to tensorflow.
cnn convolution network nn numpy scratch tensorflow
Last synced: 24 Sep 2025
https://github.com/niteshchawla/online-marketing-time-series-case-study
An ads and marketing based company helping businesses elicit maximum clicks @ minimum cost.
acf arima-forecasting exogenous-factors exploratory-data-analysis numpy pacf-autocorrelation pandas prophet-facebook-model sarimax-model time-series-analysis
Last synced: 01 Aug 2025
https://github.com/0xunkn0wn4m1r/data_engineering_banking_project
🏦 Build a complete data engineering workflow for a banking system, showcasing ETL processes, data transformations, and an interactive financial dashboard.
automation data-analysis data-cleaning data-science feature-engineering fintech-bank flask-api loan-default-prediction machine-learning mlops model-explainability numpy postgresql scikit-learn segmentation shap sql unsupervised-learning
Last synced: 09 Apr 2026
https://github.com/abideen-olawuwo/stroke-prediction
A stroke Prediction Model
adaboostclassifier catboost decision-tree-classifier kneighborsclassifier logistic-regression matplotlib numpy pandas random-forest-classifier seaborn sklearn xgboost-classifier
Last synced: 09 Apr 2026
https://github.com/mrandolph95/grad-projects
Projects completed during my ASU grad program for Social Data Science.
beautifulsoup nltk numpy pandas regression-analysis sckiit-learn seaborn selenium
Last synced: 09 Apr 2026
https://github.com/oaerobert/python-for-finance
Implementations of financial mathematics and statistics using the "Python for Finance" textbook. Includes Monte Carlo simulations, predictive stock prices using ML strategies and real world data visualisations.
matplotlib numpy pandas python
Last synced: 09 Apr 2026
https://github.com/mrmalik2512/catsvsdog.github.io
A CNN model integrated with flask backend the project is trained on image data of dogs and cats and integrated with a website predicts the given image is dog or a cat
deep-learning numpy python scikit-learn tensorflow
Last synced: 09 Apr 2026
https://github.com/estaheri7/dotawinpredictor
This project aims to predict the outcome of Dota 2 matches based on the heroes picked by both the Radiant and Dire teams
data-science dota2 machine-learning numpy pandas python random-forest sklearn support-vector-machines
Last synced: 09 Mar 2026
https://github.com/nahiyanhkhan/stock-market-data-analysis_capstone-project
In this course, learned and solved assignments on SQL and Python. Final capstone project was on analyzing "Stock Market Data". Achieved 100% score in every assignment.
data-analysis data-analytics matplotlib mysql mysql-database numpy pandas python sql
Last synced: 09 Apr 2026
https://github.com/manishkumarpatel07/heartattack_risk_prediction
"Heart Attack Risk Prediction" uses machine learning to estimate the likelihood of a heart attack based on user-provided data like physical attributes, symptoms, and medical history. This system enables remote screening, identifying high-risk individuals, and easing medical system burdens by providing early, data-driven health risk assessments.
boruta knn-algorithm matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/cescedes/notes
various concepts in python
lambda-functions numpy pandas probability python python-dictionaries python-files python-strings scipy scipy-stats statistics
Last synced: 09 Apr 2026
https://github.com/hamidhosen42/titanic-machine-learning-from-disaster-project
Titanic Machine Learning from Disaster Project Model accuracy : 77.272 %
decision-trees knn-classification machine-learning matplotlib nive-bayes numpy pandas python random-forest seaborn sklearn svm
Last synced: 09 Apr 2026