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/chaganti-reddy/heart_disease_prediction
Machine Model creation for Heart Disease Prediction
data-science deep-learning machine-learning numpy python
Last synced: 11 May 2026
https://github.com/omogbolahan94/google-play-store-app-analysis
Data exploration, data cleaning, interactive data visualisation and insight presentation
matplotlib numpy pandas plotly
Last synced: 11 May 2026
https://github.com/khalidelboray/image_processing
Notes about image processing
image-processing numpy python3
Last synced: 11 May 2026
https://github.com/samuel-schlemper-schlemuel/calculadora-de-media-variancia-e-desvio-padrao
Esse é um projeto do currículo do curso de analise de dados do FreeCodeCamp
Last synced: 11 May 2026
https://github.com/daksh90a/wine-quality-analysis
The Wine Quality Analysis project is an AI/ML-based data analysis initiative aimed at predicting and understanding the factors that influence the quality of wine.
matplotlib-python numpy pandas seaborn
Last synced: 12 May 2026
https://github.com/zilean12/digital-image-processing
Digital Image Processing
bit-plane-slicing computer-vision digital-image-processing numpy opencv warping
Last synced: 12 May 2026
https://github.com/diogoribeiro7/vortex2d
2D vortex particle method (Gaussian-core) with RK4, viscosity, plots, animations
cfd matplotlib numpy python simulation vortex-method
Last synced: 12 May 2026
https://github.com/tfiers/unitlib
📐 Physical units for NumPy arrays \ ⏱ Fast • Simple • High voltage
numpy python scientific-computing unitlib units
Last synced: 13 May 2026
https://github.com/jsnevt/knn_neighborhood
ML - classificação por vizinhança
kneighborsclassifier matplotlib numpy pandas seaborn
Last synced: 13 May 2026
https://github.com/andydevs/optipy
Optimization algorithms written in python
numpy optimization optimization-algorithms
Last synced: 13 May 2026
https://github.com/prathicashettym/agriculturallanddetection
6th Semester SDG EL
flask keras matplotlib numpy pandas python seaborn streamlit tensorflow
Last synced: 13 May 2026
https://github.com/maroshmka/np-mlp-clf
Raw implementation of mlp classifier in python using numpy.
classification example-code learning machine-learning multilayer-perceptron neural-network numpy
Last synced: 14 May 2026
https://github.com/goessl/complex-random
A package for the most basic complex random sampling.
complex complex-numbers complex-plane normal-distribution numpy pip python random random-number-generator uniform-distribution unit-circle
Last synced: 15 Jun 2026
https://github.com/harshavardhanbommalata/knn_tutorial
K-Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm. Unlike models that learn parameters during training, KNN uses lazy learning—it stores the dataset and predicts by finding the closest neighbors, making decisions through majority voting.
machine-learning-algorithms mathematical-modelling matplotlib numpy pandas
Last synced: 20 Jun 2026
https://github.com/huzaifa12466/neuralnetscratch
A simple neural network implemented from scratch in Python using NumPy, trained on the Moons dataset
artificial-intelligence artificial-neural-networks backpropagation deep-learning forwardpropagation machine-learning matplotlib neural-network neural-networks numpy
Last synced: 23 Jun 2026
https://github.com/gerardomacedo/ml-from-scratch
Logistic regression from scratch (NumPy) with tests and CLI; compared vs scikit-learn
ci-cd from-scratch logistic-regresion machine-learning numpy python unittest
Last synced: 23 Jun 2026
https://github.com/charlenry/python_math_machine_learning
Mes notebooks de travaux pratiques sur Python, NumPy, SimPy, SciPy, Matplotlib, Plotly, Seaborn et les Mathématiques pour le Machine Learning
algebra derivatives functions jupyter linear matplotlib matrix numpy plotly probabilities pyplot python pytorch scipy seaborn sklearn statistics sympy tensorflow time
Last synced: 25 Jun 2026
https://github.com/hansalemaos/group_by_continuous_sequence
Groups lists/NumPy arrays by continuous sequence
Last synced: 19 Feb 2026
https://github.com/sproc01/alcuinproblem
A resolver for a generic Alcuin problem
alcuin cplex cplex-optimization-solver graph matplotlib mip networkx numpy operations-research optimization pandas pyomo python python3 seaborn
Last synced: 09 Apr 2026
https://github.com/danishzulfiqar/predictive-maintenance-model-training
Model Training and Deployment Scripts for Predictive Maintenance.
h5 jupyter-notebook keras-tensorflow mongodb mongosse numpy nural-network pandas pickle shap tensorflow
Last synced: 09 Apr 2026
https://github.com/muhkartal/xai_dashboard
an interactive AI dashboard for machine learning model analysis and explainability, supports model training, dataset exploration, feature importance analysis, and SHAP-based explanations for both individual predictions and overall model behavior, compare multiple models, visualize insights, and export results seamlessly
joblib numpy pandas python sckit-learn shap streamlit xgboost
Last synced: 04 May 2026
https://github.com/shoaib1522/credit-card-fraud-analysis
"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."
eda epochs mlp-classifier neural-network numpy pandas-python perceptron-learning-algorithm python regression sckiit-learn seaborn streamlit streamlit-webapp tensorflow
Last synced: 09 Apr 2026
https://github.com/mattmoony/ann_mnist
Simple self-written ANN powered by NumPy to classify handwritten digits of the famous MNIST Dataset. ✍️
adam ann deep-learning learning-algorithm machine-learning ml mnist mnist-handwritten-digits momentum neural-net neural-network normalization numpy regularization relu sigmoid tanh
Last synced: 09 Apr 2026
https://github.com/adi3042/diamond-price-prediction
🔮💎 Explore the Diamond Price Oracle! Predicting diamond values based on your preferences and market trends. Your ultimate tool for informed decisions in the diamond world. Join us for the future of pricing! 💎✨🚀 #DiamondPredictor
anaconda datetime diamond flask functools html ipykernel jupytrnotebooks matplotlib numpy pandas price-prediction readme regression sckiit-learn setuptools venv
Last synced: 09 Apr 2026
https://github.com/quarkgluant/analyse-visualisation-data-with-python
French Udemy Course "Analyse et visualisation de données avec Python" on Numpy, Pandas and MatPlotLib Python's librairies
matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python3 udemy
Last synced: 09 Apr 2026
https://github.com/aathithya-shanmuga-sundaram/cyber-threat-intelligence-dashboard
Interactive Streamlit dashboard for visualizing and analyzing cyber threats, featuring real-time data insights, severity classification, geolocation mapping, and customizable dark-cyber UI.
cyber-threat-intelligence cyber-threat-tool cybersecurity cybersecurity-tools data-visualization dataset numpy pandas plotly python streamlit threat-intelligence
Last synced: 10 Nov 2025
https://github.com/armahdavi/ml-xgboost-regressor---rapid-filter-forensics_rff-dust-recovery-from-hvac-filter
ML modelling of dust recovery from HVAC filters: Linear Regression vs. XGBoost - Project Milestone: 2017-2020.
linear-regression machine-learning matplotlib matplotlib-pyplot mpl-toolkits-mplot3d numpy pandas python seaborn seaborn-plots sklearn xgboost-regression
Last synced: 09 Apr 2026
https://github.com/baranwaljii/data-science-projects
This Repository contains projects related to the domain of data science based on python and jupyter notebook
data-science jupyter-notebook machine-learning numpy pandas python
Last synced: 09 Apr 2026
https://github.com/tasninanika/australian-credit-approval-analysis-svm
This project uses a Support Vector Machine (SVM) Classifier to predict whether a credit application is approved (1) or denied (0) based on applicant features.
numpy pandas python3 scikit-learn svm-classifier
Last synced: 10 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_03
Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.
latex linear-regression matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://gitlab.com/DLR-SY/beos
Beos is a legacy Fortran tool used to calculate the static and dynamic buckling behavior of flat/curved fiber composite structures.
Last synced: 16 Aug 2025
https://github.com/chandkund/loan-eligibility-prediction
This project is designed to predict the eligibility of loan applicants based on various factors such as income, credit history, and marital status. By analyzing historical loan application data, the model helps to determine whether a loan application should be approved or not.
data-analysis data-science data-visualization machine-learning-algorithms matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/magnitopic/data-science-journey
data-science jupyter-notebook numpy python statistics
Last synced: 12 Apr 2026
https://github.com/balajig-24/titanic_data_analysics-
Project Title: Titanic Survival Prediction Project Overview The Titanic Survival Prediction project is a classic machine learning problem that aims to predict whether a passenger survived the Titanic disaster based on various features such as age, gender, passenger class, and more. This project demonstrates my ability to clean, analyze, and model.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/nas-research/knowledge-model
Our knowledge system systematically ingests, processes, and indexes open-access life science publications. It supports internal research by providing precise question-answering and efficient retrieval from a continuously updated repository of scientific literature
accelerate aws boto3 dataingestion keras lifesciences llama llama3 llm numpy pymupdf pytorch researchsupport sqlalchemy tensorflow textextraction
Last synced: 10 Apr 2026
https://github.com/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: 10 Apr 2026
https://github.com/somenath203/loan-status-prediction-backend
Click below to visit the swagger docs of the website
fastapi jupyter-notebook loan-prediction-analysis numpy pandas randomforestclassifier render scikit-learn
Last synced: 10 Apr 2026
https://github.com/ialam085/super_store_sales_analysis_python
The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.
charts matplotlib numpy pandas python seaborn visualization
Last synced: 10 Apr 2026
https://github.com/mjshubham21/ny_yellow_taxi_python_da_project
A data analysis project of New York Yellow Taxi (Feb of 2025) using Python and its libraries for analytics like : NumPy, MatPlotLib, Pandas and Seaborn.
data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 04 May 2026
https://github.com/abideen-olawuwo/water-potability
A Water Potability Model
adaboostclassifier gaussian kneighborsclassifier linear-regression logistic-regression matplotlib numpy pandas seaborn sklearn xgboost-classifier
Last synced: 10 Apr 2026
https://github.com/rtmigo/skifts_py
Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy
cosine-similarity information-retrieval numpy python scikit-learn text-mining tf-idf
Last synced: 19 Aug 2025
https://github.com/yukti1sharma/emotion-based-music-recommender
Emotion based music recommendation system
detection-model emoji facial-expression-recognition jupyter-notebook keras-tensorflow machine-learning mediapipe music neural-networks numpy opencv python realtime streamlit webapp
Last synced: 10 Apr 2026
https://github.com/hariprasath-v/machinehack_intel_oneapi_hackathon_the_llm_challenge
Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).
accuracy exploratory-data-analysis extractive-question-answering huggingface machine-learning matplotlib nlp nltk numpy pandas python seaborn sklearn spacy spellchecker wordcloud
Last synced: 10 Apr 2026
https://github.com/oguzhansarigol/Expected-Goals-xG-Data-Analysis
We will analyze in our code the expected goal locations of football players based on which areas of the field, at what times, with which feet, using which parts of their bodies, and from which angles and distances they are most likely to score.
data-analysis-python expected-goals numpy pandas-python python
Last synced: 20 Aug 2025
https://github.com/lorenzorottigni/ml-houses
Machine Learning python bootcamp: linear regression on houses model
ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/alimiheb/morphotype-web-app
A modern web application that analyzes body morphotypes (Ectomorph, Mesomorph, Endomorph) using MediaPipe AI and provides personalized fitness and nutrition plans.
body-tracking flask mediapipe numpy opencv pandas pillow python3
Last synced: 10 Apr 2026
https://github.com/chandkund/customer-segmentation-using-k-means-clustering
Implemented K-Means Clustering to segment customers based on purchasing behavior, enabling targeted marketing strategies. Analyzed data, optimized clusters using the Elbow Method, and derived insights to enhance customer engagement and retention.
data-science kmeans-clustering machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/mpbeatriz/santander_coders_2024
Repositório dos exercícios e projetos do curso de Engenharia de Dados da Ada em parceria com o Santander (em andamento).
apache-kafka apache-spark api data-engineering data-extraction fastapi flask numpy oop pandas python webhooks
Last synced: 10 Apr 2026
https://github.com/rishikesh-jadhav/machine-learning-practice-projects
This repository contains my end to end ML practice projects as a part of the ML zero to mastery course by Daniel Bourke and Andrei Neagoie
classification data-science data-visualization dataanalysis deep-learning hadoop jupyter-notebooks machine-learning neural-network numpy pandas pyspark python pytorch regression scikit-learn supervised-learning tensorflow time-series transfer-learning
Last synced: 10 Apr 2026
https://github.com/giacomolat/classification-of-exotic-fruits
The goal of this project is to develop an automatic classification system for exotic fruits based on numerical features using the K-nearest neighbors (K-NN) algorithm
anomalies-detection auc-roc-curve confusion-matrix gridsearchcv hold-out-cross-validation knn knn-classification machine-learning matplotlib matplotlib-pyplot multiclass-classification normalization-techniques numpy pandas python scikit-learn seaborn stratified-cross-validation
Last synced: 10 Apr 2026
https://github.com/dhaase-de/dito
Yet another toolbox for the daily work with OpenCV under Python.
Last synced: 22 Aug 2025
https://github.com/ankman007/python-100-days-of-code
Daily logs of my progress and mini-projects made over the course of this challenge
100daysofpython backend-development bootstrap5 css3 flask game-development hacktoberfest html5 jinja matplotlib numpy pandas python python-gui selenium tkinter turtle web-development webscraping
Last synced: 10 Apr 2026
https://github.com/aymen016/cosmic-mystery-challenge-2912
"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"
kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn
Last synced: 10 Apr 2026
https://github.com/kwasi-dankwa/game-sales
This project investigates why Nintendo’s global market share fluctuated between 2010–2016, identifies top-performing genres and regions, and builds predictive models to forecast sales and regional performance. It culminates in specific, actionable recommendations to grow market share.
business-intelligence gaming juptyernotebook-language matplotlib numpy pandas postgresql python3
Last synced: 09 Apr 2026
https://github.com/yousefmostafa125/image-processing
An interactive image processing web app built with Streamlit and OpenCV. The app allows users to upload an image, apply various processing steps, and download the results individually or as a ZIP file.
numpy opencv-python python streamlit
Last synced: 03 May 2026
https://github.com/sawaira-iqbal/data-visualization-project-on-car-sales-data
Explore Sales Data Visualization with Interactive Charts & Insights! 📊 Uncover trends and patterns to drive smarter automotive decisions.
bivariate-analysis data-science data-visualization interactive-visualizations matplotlib multivariate-analysis numpy plotly python seaborn univariate-analysis
Last synced: 12 Apr 2026
https://github.com/shubhammittal-data/hr_dashboard_tableau
An interactive HR Analytics Dashboard built using Tableau. Provides insights into workforce demographics, hiring trends, salary analysis, and employee records for data-driven decision-making.
chatgpt4 data data-analysis data-visualization drawio-tools faker-generator hr-analytics hr-analytics-dashboard human-resources numpy python tableau tableau-public
Last synced: 17 May 2026
https://github.com/thiagohrcosta/machinelearning-temperature
A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.
machine-learning numpy pandas python3 scikit-learn
Last synced: 08 Apr 2026
https://github.com/nirmit27/credit-risk-modeling
Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.
credit-risk credit-risk-analysis machine-learning ml ml-model ml-models modelling numpy pandas python python3 sckiit-learn
Last synced: 29 Apr 2026
https://github.com/saro0307/unemployment-analysis
This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.
data-science datavisualization machine-learning matplotlib numpy pandas python seaborn skit-learn
Last synced: 10 Apr 2026
https://github.com/kostadinlambov/algorithmic-trading-bot
The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).
lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost
Last synced: 05 Apr 2026
https://github.com/fatimaafzaal/car_price_prediction
Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.
car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/abideen-olawuwo/airline-twitter-sentiment
A sentimental review on airline
numpy pandas python random-forest-classifier seaborn sklearn svm-classifier
Last synced: 10 Apr 2026
https://github.com/celineboutinon/la-faim-dans-le-monde
OpenClassrooms Data Analyst 2022-2023 - Projet 4
data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot numpy pandas python seaborn
Last synced: 20 Jul 2025
https://github.com/roaajadaa/text-classification
Classify documents using custom naïve bayes model
matplotlib nlp nltk numpy pandas python sklearn
Last synced: 10 Apr 2026
https://github.com/lorenzorottigni/ml-iris-svm
Machine Learning python bootcamp: Support Vector Machines on iris flower dataset
ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines
Last synced: 10 Apr 2026
https://github.com/gaball1/alzheimer-prediction-ai
Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .
ai data-mining gradient-boosting jupyter-notebook logistic-regression logistic-regression-algorithm machine-learning matplotlib-python models numpy pandas python random-forest-classifier streamlit xgboost-classifier
Last synced: 11 Apr 2026
https://github.com/bharath-tars/deeptumor
DeepTumor is a project aimed at developing a deep learning model with over 1 million parameters using TensorFlow. with automatic reporting feature
keras machine-learning numpy pandas pyhton tensorflow webdevelopment
Last synced: 10 Apr 2026
https://github.com/pramodyasahan/car-safe-predictor
This repository contains a machine learning project that applies the K-Nearest Neighbors (KNN) classification algorithm to predict car safety ratings. The project uses a dataset of cars, with features such as buying price, maintenance cost, number of doors, persons, lug boot size, and safety.
classification k-nearest-neighbours machine-learning numpy pandas scikit-learn
Last synced: 10 Apr 2026
https://github.com/ralfkeo/detection-de-faux-billets-avec-python
OpenClassrooms parcours Data Analyst Projet 12
matplotlib-pyplot numpy pandas pickle plotly prediction-model python scipy seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/yhunlu/data-analysis
Data Analysis
matplotlib numpy pandas seaborn
Last synced: 01 May 2026
https://github.com/allanotieno254/pneumonia-xray-classification
This project is a Deep Learning-based Pneumonia classification system that allows medical staff to upload chest X-ray images and quickly determine whether a patient shows signs of pneumonia.
keras machine-learning numpy pandas pil pillow python streamlit streamlit-webapp
Last synced: 10 Apr 2026
https://github.com/anuppm9917/super-store-sales-analysis-power-bi-project
My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement.
data data-analysis data-visualization datacleansing excel exploratory-data-analysis jupyter-notebook numpy pandas plotly powerbi python3
Last synced: 10 Apr 2026
https://github.com/cartabinaria/calcolo-numerico
Una raccolta di risorse per l'insegnamento di Calcolo numerico (02023) del Corso di Laurea in Informatica.
course maths numerical-methods numpy scipy uni
Last synced: 20 Jan 2026
https://github.com/ksasi/customer_segments
machine-learning numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/dineshdhamodharan24/amazon-reviews-sentiment-analysis
This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.
matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/sunnyrao07/stroke-risk-prediction
Predicting stroke risk using machine learning models based on healthcare and demographic data.
data-cleaning data-visualization decision-trees feature-engineering label-encoding matplotlib model-evaluation numpy outlier-detection pandas python random-forest scikit-learn seaborn standard-scaler
Last synced: 10 Apr 2026
https://github.com/smirnovlad/data-science-notebooks
A collection of various data analysis approaches
data-science deep-learning kaggle machine-learning numpy pandas pytorch
Last synced: 10 Apr 2026
https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset
Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/patilsukanya/assignment-3-hypothesis-testing
Used libraries and functions as follows:
alternate-hypothesis annova chi2-contingency contingency-analysis ftest hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas pvalue python scipy significance-testing stats
Last synced: 10 Apr 2026
https://github.com/farhad-here/median-performance-comparison
Benchmarking the performance of median calculation using vanilla Python vs NumPy.
data-analysis matplotlib numpy python
Last synced: 18 Apr 2026
https://github.com/pedasoft-consult/multi_class_text_classification
Multi-Class Text Classification for News Headlines
keras matplotlib-pyplot nltk numpy pandas seaborn sklearn tensorflow
Last synced: 09 Apr 2026
https://github.com/munawar-code/car_price_predictor
This project is a ML-based car price prediction system. The model is built using Jupyter Notebook for training and evaluation, while a simple one-page website was developed using Pycharm to provide interface for users to input car details and get price predictions.
datapreprocessing datavisualization exploratory-data-analysis feature-engineering flask-application html-css-javascript linear-regression machine-learning-algorithms matplotlib numpy pandas python scikitlearn-machine-learning
Last synced: 13 Apr 2026
https://github.com/aneeshmurali-n/project-ml-data-preprocessing
The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.
data-analysis data-cleaning data-encoding data-exploration feature-scaling label-encoding matplotlib minmaxscaler numpy one-hot-encoding outlier-detection pandas standardscaler
Last synced: 02 May 2026
https://github.com/mogankumar/virtual-mouse
A Python-based Virtual Mouse that uses hand gestures for cursor control, clicking, scrolling, and taking screenshots. Powered by OpenCV, PyAutoGUI, and a custom hand tracking module for a touch-free experience.
autopy numpy opencv pyautogui python3
Last synced: 10 Apr 2026
https://github.com/semihbugrasezer/rockvsmine
Rock vs Mine Prediction with Python | Machine Learning Project
Last synced: 05 May 2026
https://github.com/niteshchawla/logistics-nn-regression
The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.
adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models
Last synced: 10 Apr 2026
https://github.com/rama1997/lane-line-detection
Uses computer vision to detects lane lines on the road from images/videos using the POV of a driving vehicle
numpy opencv opencv-python python
Last synced: 10 Apr 2026
https://github.com/azaz9026/data_cleaning
Welcome to the Data Cleaning repository! This collection is dedicated to showcasing techniques and methods for cleaning and preparing datasets for analysis.
data-analysis data-engineering data-structures data-visualization eda feature-engineering machine-learning numpy outliers pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/alejoduarte23/reading_data_from_dewesoft
The following repository retrieves sensor data (acceleration and strains) from both local and cloud databases. It processes the data using classes from another repository called Modal Engine for spectral analysis, modal analysis, and signal processing.
dewesoft matplotlib modal-analysis numpy orm scipy signal-processing sql sqlalchemy
Last synced: 07 Jan 2026
https://github.com/asghar-rizvi/youtube-statistics-project
This project analyzes a dataset of global YouTube statistics to uncover insights about YouTube channels, their ranks, and other attributes. The dataset used for this analysis was obtained from Kaggle.
data-analysis data-analysis-python data-science data-science-projects matplotlib numpy pandas pycharm-ide python seaborn
Last synced: 13 Jun 2026
https://github.com/tsungtsetu122/datamining-cifar10-classification
Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.
matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/shakebshamsi/youtube-scraping-using-api
Youtube Scraping
jupyter-notebook numpy pandas python seaborn
Last synced: 10 Apr 2026
https://github.com/paraskevi-kivroglou/rl-pong-agent
A project by Paraskevi Kivroglou as part of exploring deep reinforcement learning applications.
atari atari-games gym-environment gymnasium numpy python3 pytorch q-learning reinforcement-learning reinforcement-learning-agent
Last synced: 11 Apr 2026
https://github.com/farhad-here/data-visualization-analysis-dva
This is my data analysis project. Users can use this project to clean and preprocessing the date or data visualization. Individuals can impute or ecnode ther dataset.
altair bokeh data-analysis data-analysis-python io matplotlib numpy pandas plotly python sklearn streamlit
Last synced: 11 Apr 2026