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/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/pabs-code/face-detection-using-haar-cascade-classifier
This is a Streamlit-based face detection application that uses the Haar Cascade classifier to detect faces in uploaded images.
face-detection haar-cascade-classifier numpy opencv python streamlit
Last synced: 08 Apr 2026
https://github.com/vyjayanthipolapragada/image_classifier_model_hotdog
Building an Image classifier model to train and test a dataset and classify the given images into hotdog and not-hotdog.
artificial-intelligence dataset image-classification image-processing machine-learning matplotlib neural-networks numpy pandas python pytorch tensor torchvision transfer-learning
Last synced: 08 Apr 2026
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/loaiwalid07/portfolio
Loai Nazeer portfolio
classification clustering computer-vision data-science deep-learning deep-neural-networks machine-learning matplotlib matplotlib-pyplot nlp nlp-machine-learning nltk numpy pandas plotly sklearn streamlit tensorflow-tutorials
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https://github.com/tabotcharlesbessong/python-errors
This repository will contain all python errors i will encounter in my life as a python plus their solutions
matplotlib-animation matplotlib-pyplot numpy pandas python-script python3 scikit-learn seaborn
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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
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https://github.com/secary/compsci7211
Foundations of Computer Science B
algorithms git numpy pandas shell unix
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https://github.com/singhvishal003/stock-price-predict
Stock Price Prediction model using yfinance data .
keras matplotlib numpy pandas yfinance
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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
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https://github.com/gmork2/covid-19
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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
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https://github.com/lorenzorottigni/ml-lending-club
Machine Learning python bootcamp: random forest classifier on LendingClub dataset
ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn
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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
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https://github.com/colesmcintosh/pycuda-numpy-vector-ops
Accelerating NumPy Vector Operations with PyCUDA
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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
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https://github.com/seymencanates/pythonn
Here is my all personal educations , notes , basic apps I did. Here will be my backside for all supportive information about python I am gonna need.
django flask numpy pandas python3 scikitlearn-machine-learning tensorflow tkinter
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https://github.com/shreyavats23/sign_language_recognition
Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples
artificial-intelligence keras machine-learning matplotlib numpy python pytorch seaborn sklearn tensorflow
Last synced: 08 Apr 2026
https://github.com/sarthakm402/rabbi
A Ml library that can be used ot clean,and use models to predict on data
numpy optuna pandas pypi-package python sklearn
Last synced: 20 Apr 2026
https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023
Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.
binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap
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/alphacrypto246/insurance-charges-prediction
The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
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https://github.com/elijah-1994/modelling-airbnbs-property-listing-dataset
Training and Evaluating classification and regression model use cases on the Airbnb dataset.
data-science machine-learning numpy pandas plotly python pytorch sklearn
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https://github.com/ashkarin/rawimage
Read and write RAW images (or data arrays) without a headache.
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https://github.com/dmarks84/ind_project_superstore-sales-time-series-analysis--kaggle
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chloropleth data-modeling data-visualization eda linear-regression matplotlib numpy pandas python seaborn sklearn statistics statsmodels supervised-ml time-series-analysis
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https://github.com/bassemhalim/webrtc-demo
webrtc demo using aiortc library
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https://github.com/eljandoubi/disasterresponsepipeline
Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.
flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy
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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
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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
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https://github.com/priyankapriyadarshini50/autos_data_analysis
Data Analysis of auto dataset
matplotlib numpy pandas psycopg2 scikit-learn scipy seaborn
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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/dakshsammi/arkaid
Arkaid is a game performance analytics platform developed for the Information Integration Architecture Course - CSE656 (IIIT Delhi). It uses a data warehouse approach to analyze gaming data from multiple sources and provides insights via an AI-driven interface.
ai airflow aws database-management datawarehouse docker etl flask information-integration numpy openai postgresql python togetherai
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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
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https://github.com/dsowles/miniproject1davidsowles2025
INF601 Mini Project 1
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https://github.com/abyshergill/ultralytics_yolo_object_detection_testing_gui
This is a desktop application for real-time object detection using the YOLO (You Only Look Once) model build with ultralytics libarary. It's built with PyQt5 for the graphical user interface and OpenCV for video and image processing. The application allows users to load a YOLO model, adjust detection settings, and perform object detection on media.
numpy opencv-python pytorch qt5-gui threading ultralytics yolo
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https://github.com/prachi005748/website-performance-data-analysis-project
Briefly describe the objective of the project—e.g., analyzing website performance metrics over time, uncovering trends in user engagement, or evaluating channel-wise traffic quality.
data-analyst data-cleaning data-preprocessing data-visualization data-visualization-python exploratory-data-analysis jupyter-notebook matplotlib numpy pandas python seaborn storytelling
Last synced: 01 May 2026
https://github.com/samiksha29-patil/e-commerce-sales-insights-dashboard
This project focuses on analyzing e-commerce sales data through data visualization. It highlights customer behavior, popular sales channels, product category trends, and city-wise performance to provide actionable business insights.
analytics customer-insights data-visualization ecommerce matplotlib numpy pandas python sales-analysis seaborn
Last synced: 03 May 2026
https://github.com/princeoncada/quant-pca-risk
Applies Principal Component Analysis (PCA) to daily returns of 20 US equities (2015–2025) to uncover hidden risk factors. Explores variance explained, scree, loadings, factor returns, covariance reconstruction, and Varimax rotation. Results show 3–5 PCs capture ~75% of portfolio risk.
correlation-analysis covariance-matrix dimensionality-reduction factor-models matplotlib numpy pandas pca portfolio-risk principal-component-analysis python quantitative-finance time-series-analysis variance varimax
Last synced: 06 May 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/kandil2001/lid-cavity-evolution
Lid Cavity Evolution is an open-source CFD suite for the lid-driven cavity problem, featuring MATLAB, Python, and parallel solvers with benchmark comparisons.
benchmarking cfd cfd-simulation lid-driven-cavity matlab mpi numpy open-source openfoam openmp parallel-computing python scientific-computing simple-algorithm star-ccm
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/labex-labs/numpy-for-beginners
This comprehensive course covers the fundamental concepts and practical techniques of NumPy, the essential library for numerical computing in Python. Learn to create, manipulate, and analyze arrays efficiently.
array-manipulation array-slicing beginner-friendly course data-analysis data-science data-structures fast-computation hands-on labex labs linear-algebra matrix-operations numerical-computing numpy programming python python-programming scientific-computing vectorized-operations
Last synced: 20 Jun 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/shotadft/vecposlib
This is a library that enables vector calculations in Python.
math math-library numpy python python-lib python-library python3
Last synced: 18 Sep 2025
https://github.com/abhishek-patidar066/synthetic-datasets
Synthetic datasets are artificially generated data used for training machine learning models, simulating real-world data while ensuring privacy.
clustering datasets jupyter-notebook libraries matplotlib-pyplot numpy pandas-dataframe python random sklearn
Last synced: 15 Apr 2026
https://github.com/crvargasm/metnumun2021i
Universidad Nacional de Colombia - Métodos Numéricos ~ Grupo 1 2021-I
matplotlib numerical-analysis numpy pandas python quantopian
Last synced: 12 Apr 2026
https://github.com/akash-207/ecommerce-monetization-analysis
“Revenue and monetization analysis of Brazilian e-commerce data (Olist dataset). Includes KPIs, trends, and business insights.”
business-analytics matplotlib mysql numpy pandas python seaborn
Last synced: 09 Apr 2026
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/rarawe/taskly
A public repository for taskly
celery flutter-app hacktoberfest numpy pandas pydata queue queue-workers queued-jobs redis redis-queue scikit-learn scipy task-runner
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/har8899/students-scores
Data Analysis with Python
dataanalysis dataframe matplotlib numpy python seaborn
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/mirzaazwad/tymbert
TYMBert is our submission for NCIM 2025, a spam classifier that makes use of knowledge distillation to compress the model while preserving accuracy
bert huggingface-transformers knowledge-distillation machine-learning matplotlib numpy pandas python3 scikit-learn tiny-bert torch
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/stefagnone/text_adventure_game
A text-based adventure game project using Python fundamentals
matplotlib numpy pandas python r scikit-learn seaborn sql
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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
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https://github.com/n-t-raghava/the_sweet_16
This project detects faces in real-time from a webcam feed or an uploaded image and predicts age (in bins of 5 years) and gender (Male/Female). The model is based on OpenCV’s Deep Neural Network (DNN) module and pre-trained models for face, age, and gender detection.
caffemodel deep-learning flask numpy opencv python
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https://github.com/shauryashaurya/marty_mcfly
Code, text and notebooks on a tutorial for Introduction to Machine Learning using open sources
anaconda jupyter-notebooks machine-learning machine-learning-tutorials notebook numpy python regression scikit-learn scipy tutorial
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https://github.com/nandit123/python_on_excel
Data Analysis using python libraries on excel data
csv data-analysis data-science fill fluctuations graph numpy python python-library
Last synced: 16 May 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/ghaniketrajputp005/adobe-gensolve-hackathon-2024
This Project aims to identify, regularize, and beautify curves in 2D Euclidean space.
cv2 keras-tensorflow numpy os sklearn
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https://github.com/kishanlalchoudhary/be-sem-8
BE SEM 8 Assignments
cpp deep-learning hpc keras matplotlib numpy openmp pandas scikit-learn seaborn tensorflow
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https://github.com/epsoft/tex-classification
Tex Classification
classification classification-algorithm farsi matplotlib numpy pandas persian tensorflow tex-classification textvectorization
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https://github.com/shambac/shamboflow
Fierce tensorflow competitor
cuda cupy machine-learning numpy pypi-package
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https://github.com/arijitdas0211/live-image-capture-and-emotion-detection
colab-notebook numpy pandas python scipy
Last synced: 29 Jul 2025
https://github.com/mallocode300/colour_palette_generator
Upload an image and immediately obtain a colour palette with the 10 most common colors in HEX codes and RGB
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/arjunravi26/glucose-monitoring
Glucose Monitoring system to monitor patients and notify whenever glucose goes high.
machine-learning numpy pandas plotly python3 streamlit xgbboostregressor
Last synced: 30 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/zeeshan4002911/data-analysis-hub
Quality control, data processing, data cleaning, data ploting
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Last synced: 03 May 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/darkdk123/handwashing-discovery-analysis
A Guided Project in a Boot camp to Analyse the Original Data used in the Discovery of Viruses & Hand Washing By Dr. Ignaz Semmelweis in Vienna General Hospital in the 1840s.
data-analysis data-science data-visualization matplotlib-pyplot numpy pandas plotly-python python seaborn-plots
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.
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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/sridharyadav07/machine-learning-project-bankruptcy-prevention-
The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.
data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/celineboutinon/chicken-run
OpenClassrooms Data Analyst 2022-2023 - Projet 9
data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot missingno numpy pandas plotly python scikit-learn scipy seaborn statsmodels
Last synced: 09 Apr 2026
https://github.com/dmarks84/ind_project_european-soccer-top-points-contributors--kaggle
Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.
data-wrangling hypothesis-testing numpy p-values pandas python scipy-stats statistics t-test
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/mr-chang95/twitter_datawrangling
Twitter Data Wrangling for Udacity's Data Analyst Nanodegree Program
data-visualization data-wrangling dogs matplotlib numpy pandas python twitter
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/ashar97/advanced-machine-learning
Advanced Machine Learning MOOC Specialisation Assignments
keras numpy python3 tensorflow
Last synced: 09 Apr 2026
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/jjwizardmp/gallery-art-problem
Resolve the Gallery Art Problem implement BFS and Delaunay Triangulation
jupyter jupyter-notebook jupyterlab mathplotlib numpy pandas python python-env python3 scipy shapely
Last synced: 09 Apr 2026