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/asuquoaa/cdc_2017_immunization_data_analysis
This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.
Last synced: 12 Apr 2026
https://github.com/ewdlop/computational-physcis-notes
Computational Physics written in Python
maple matlab numpy physics-simulation python qsharp scipy wolfram-mathematica
Last synced: 20 Apr 2026
https://github.com/testetson22/abelian_sandpiles
Simple App that implements, builds and tests an approximation of the Abelian sandpile model
Last synced: 12 Apr 2026
https://github.com/nambukeerthi/youtube_dataproject
Build a Streamlit App – A user-friendly interface. Use Google API – Fetch YouTube channel data. Store in SQL Database – Save channel details for easy access. Search & Join Tables – Allow users to query and view data
api numpy pandas python sql streamlit
Last synced: 09 Apr 2026
https://github.com/yosrak5/predictive_maintenance
End-To-End Predictive Analytics to predict Hardware Maintenance Before it occurs using data preprocessing and Machine Learning classification modeling (XGBOOST , Random Forest )
data-factory data-perspective machine-learning-workbench matplotlib numpy pandas python random-forest seaborn xgboost
Last synced: 25 Feb 2026
https://github.com/shwetapardhi/assignment-1-q11--basic-statistics-level-1
Q11) Suppose we want to estimate the average weight of an adult male in Mexico. We draw a random sample of 2,000 men from a population of 3,000,000 men and weigh them. We find that the average person in our sample weighs 200 pounds, and the standard deviation of the sample is 30 pounds. Calculate 94%,98%,96% confidence interval?
confidence-interval normalization numpy pandas python scipy stats
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https://github.com/tralahm/kaggle-titanic-competition
Predicting Titanic Passenger Survival Using Machine Learning
data-analysis jupyter-notebook kaggle-competition kaggle-dataset machine-learning matplotlib numpy pandas predictive-modeling python3 sklearn tralahm tralahtek
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https://github.com/pedasoft-consult/house-price-prediction
This project is a machine learning-powered web application for predicting house prices based on various features such as area, bedrooms, bathrooms, and more. It uses Flask for the backend and HTML/CSS/JavaScript for the frontend.
flask joblib matplotlib numpy pandas r2 random-forest regression seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/gustavo-venceslau/housing-price
A Machine Learning project to create a model to predict housing prices. The project is based on the example in chapter 2 of the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélion Géron
conda machine-learning matplotlib numpy pandas python sklearn
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https://github.com/bachboy0/montecarlo
Python-based Monte Carlo simulations for statistical analysis and modeling.
monte-carlo-methods numpy python
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https://github.com/nabilshadman/python-uk-weather-analytics
An end-to-end data science workflow of UK weather data
data-engineering data-science data-visualization machine-learning matplotlib numpy pandas scikit-learn
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https://github.com/shahiakhilesh1304/fitbitcasestudy
This is a case study based on data retrieved from a Fitbit band, and we are making predictions about human behavior based on their mood.
case-study data-visualization fitbit jupyter-notebook numpy python3
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https://github.com/rkarahul/ok.win-big-small-predictor
Predict the next “Big” or “Small” outcome on the OK.Win lottery-style game using OCR + time-series features + ML.
joblib numpy opencv-python paddleocr paddlepaddle paddlepaddle-gpu pandas python sckit-learn
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https://github.com/sunilsm7/numpy-starter
IPython Notebook(s) demonstrating NumPy functionality.
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https://github.com/kartikeya443/handgesture_vol_control
This OpenCV project enables remote control of sound playback using wireless communication. It lets users adjust the master volume of the central device using finger gestures, enhancing convenience and user experience.
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https://github.com/trainingbypackt/hands-on-machine-learning-with-python
Structure, build, and deploy machine learning projects
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https://github.com/mahdibehoftadeh/polynomial-regression-co2-emissions
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https://github.com/debjyotisaha/web-application-projects
Web Applications developed with the help Python libraries and ML algorithms
algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit
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https://github.com/athul64/tmdb-dataset-analysis
This data set contains information about 10,000 movies extracted from TMDB. The dataset contains movies from 1960 to 2015. Including user ratings and revenue. Original data from Kaggle.
data-visualization dataframe eda numpy pandas python
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https://github.com/djdhairya/car-parking-detection
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https://github.com/bbhargavpanchal/brain-tumor-segmentation-unet
U-Net based Convolutional Neural Network for brain tumor segmentation using MRI images. Implemented in Python with TensorFlow, OpenCV, and Scikit-learn.
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https://github.com/oleksiilatypov/titanic_ml
Titanic Survival Prediction using ML and Flask Deployment.
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https://github.com/ksprugevics/magic-square
Some simple algorithm implementations for solving (ordinary) magic squares using NumPy
algorithms mathematics numpy python
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https://github.com/ivancaez/analisis_dades_microbit
Data analysis of Micro:bit with maplotlib, numpy and pandas
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Last synced: 13 Apr 2026
https://github.com/chandkund/predicting-diabetes-onset
The "Predicting Diabetes Onset" project aims to build a machine learning model that predicts whether an individual has diabetes based on various health-related features. The dataset used for this project includes attributes related to medical history and physical measurements.
deep-learning numpy pandas python seaborn sklearn-library sklearn-metrics visualization
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https://github.com/armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling
All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021
data-science data-visualization machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats statistics
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https://github.com/anarya22/accenture-north-america-data-analytics-and-visualization-job-simulation-on-forage
Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture. Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions. Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
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https://github.com/athari22/investigating-netflix-movies-and-guest-stars-in-the-office
Apply basic Python skills in Introduction to Python and Intermediate Python by processing and visualizing film and television data.
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https://github.com/sanjaiveeran44/shopping-intent-analasys
This project predicts whether a visitor to an e-commerce website will make a purchase based on their browsing behavior. It includes data analysis, preprocessing, and machine learning modeling to understand online shopping patterns.
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https://github.com/eesunmoon/aml_project
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https://github.com/caterinatasinato/python-projects
Projects I worked on as Trainee in Data Analytics at ProfessionAI
matplotlib numpy pandas python3
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https://github.com/joiceo/python
Projetos e exercícios em Python
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https://github.com/raghavendranhp/youtube_data_harvesting
The "YouTube Data Analyzer" is a versatile tool for businesses and content creators, enabling them to gather, analyze, and harness valuable insights from multiple YouTube channels. With streamlined data collection, storage in MongoDB, migration to SQL, and a user-friendly Streamlit interface, it empowers users to make data-driven decisions
apiintegration data datacollection eda googleapi googleapiclient matplotlib mongodb mysql mysqlconnector numpy oops pandas pymongo python pythonoops sql sqlalchemy streamlit youtube-api
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https://github.com/blairnangle/python3-numpy-ta-lib
Docker image with NumPy and TA-Lib installed. Built and uploaded to Docker Hub using GitHub Actions.
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https://github.com/debjyotisaha/data-analytics-projects-phase-1
A set of projects on Data Analysis using Python and its libraries
matplotlib numpy pandas python seaborn sklearn streamlit
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https://github.com/badranalyst/tips-dataset-analysis-dashboard-with-streamlit-and-plotly
Interactive Streamlit dashboard analyzing the Seaborn 'tips' dataset, which records information on restaurant bills, including total bill amounts, tips, customer demographics (e.g., gender, smoking status), and dining details (e.g., day, time). Visualized with Plotly for insights into tipping patterns.
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https://github.com/annygutierrez/bank-ann
Basic Artificial Neural Network
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https://github.com/archishmansengupta/dnn
Digit Neural Network is a digit recognition network based on MNIST data set using numpy, pandas and matplotlib
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Last synced: 13 Apr 2026
https://github.com/harmanveer-2546/prediction-of-ticket-cancellation
The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.
datetime evaluation gridsearchcv labelencoder numpy pandas standardscaler stratified-k-fold train-test-split xgboost-model
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https://github.com/vedanty3/supermarket-sales-data-analysis
This project contains data visualization techniques (using pandas and matplotlib) to explore different aspects of supermarket sales data of 3 months.
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https://github.com/nikhilsree5/netflixcasestudy
Global Content Strategy: Leveraging Data Insights to Optimize Netflix's International Growth
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https://github.com/harmanveer-2546/predicting-schizophrenia-disorder
The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase
boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization
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Análisis y trabajos en Python con BBDD deportivas
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https://github.com/shlok-nahar/mnist-cnn-classifier
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confusion-matrix graph heatmap-visualization json machine matplotlib mnist numpy precision-recall python receiver-operating-characteristic seaborn sklearn tensorflow
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https://github.com/paulo-santos-ds/machinelearninglogisticregression
A fraude de cartão de crédito é uma forma comum de fraude que afeta milhões de pessoas em todo o mundo. Essa fraude pode ter consequências graves, tanto para as vítimas quanto para as instituições financeiras que emitem os cartões de crédito.
math matplot numpy pandas python3 sklearn
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https://github.com/Verozavr/taxi-data-analytics-project
Data analytics and visualization projects in Python
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https://github.com/yuu-eguci/cognitive-services-trial
Try to play with Cognitive Services!! [Cognitive Services] [OpenCV] [Numpy]
cognitive-services dotenv numpy opencv-python pipenv python python3
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https://github.com/ondiekelijah/shadowcoach-formtracker
A computer vision-based workout form tracking application that uses AI to monitor exercise form, count repetitions, and provide real-time feedback.
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https://github.com/vishal815/python-based-flight-data-scraping-automating-data-collection-for-analysis
This project is a Python-based web scraping script designed to extract flight details from the Yatra travel website. The extracted data includes flight pricing, origin, destination, departure and arrival times, and duration. The data is then saved into a CSV file for further analysis.
beautifulsoup flight-data-analysis flight-data-visualization numpy pandas pyhton pyplot scraping scraping-python seaborn selenium vishal-lazrus vishallazrus webscraping webscraping-projects
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https://github.com/kecnry/nparray
High-Level Wrappers for Building and Manipulating Numpy Arrays
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https://github.com/itshyphen/mass-mailing-script
A simple mass mailing script that sends personalized email to multiple emails importing from csv
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https://github.com/a-parida12/numericalmethods
Teaching Material for Workshop for Engineering Students
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https://github.com/subhas-pramanik-09/car-detection-and-counting
This project counts the number of cars passing through a designated line in a video file using OpenCV and background subtraction techniques.
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https://github.com/tnleite/loan-approval-prediction
Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.
classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier
Last synced: 13 Apr 2026
https://github.com/msikorski93/Linear-Regression-From-Scratch
Different solutions of linear and polynomial regression made from scratch.
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Last synced: 27 Apr 2025
https://github.com/v41bh4vr4jput/python---numpy
A collection of hands-on examples, exercises, and projects to master NumPy — the fundamental package for numerical computing in Python. This repository is perfect for beginners and advanced learners looking to explore array manipulation, mathematical operations, and high-performance data analysis.
Last synced: 20 Apr 2026
https://github.com/chandkund/wine-quality-prediction
This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.
logistic-regression matplotlib numpy pandas-python random-forest-classifier svm-classifier
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https://github.com/n1k1f0rm/ml-predicts
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machine-learning ml numpy python
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https://github.com/ivangael/image-toolbox-backend
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https://github.com/dbriane208/python-for-data-science
Machine Learning and Data Science repository. Love crafting Machine Learning models.
data-analysis data-science data-visualization machine-learning numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/hanzdr/2d-3d-object-transformation
For my Linear Algebra Project Defense
matplotlib-python matrix numpy
Last synced: 19 Apr 2026
https://github.com/ifte-13/early-stage-brain-stroke-detection
Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm
decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn
Last synced: 06 Jul 2025
https://github.com/harmanveer2546/recognizing-digits
I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.
dense flatten gui keras maxpooling mnist numpy pandas pillow python sequential
Last synced: 13 Apr 2026
https://github.com/iv4n-ga6l/GenderDetection
Gender detection using gender classification model
genderclassification genderdetection numpy pil python resnet18 torch torchvision
Last synced: 28 Apr 2025
https://github.com/iv4n-ga6l/Geometric-ShapesRecognizer-in-image
Geometric shapes recognizer API built in python
api-rest flask numpy opencv python shaperecognitionapi
Last synced: 28 Apr 2025
https://github.com/iv4n-ga6l/Crowd-move-simulation
Crowd move simulation in python
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Last synced: 28 Apr 2025
https://github.com/darkksideyoda/dataminingclass
Data Mining Class 101
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Last synced: 13 Apr 2026
https://github.com/eny2930/ai-ml-projects
A project demonstrating various libraries and tools in using algorithms in machine learning. This repository includes code samples, datasets, and detailed explanations.
iris-dataset keras linear-regression logistic-regression matplotlib numpy pandas pytorch sckiit-learn seaborn sentiment-analysis
Last synced: 13 Apr 2026
https://github.com/pramodyasahan/spaceship-titanic
This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.
machine-learning numpy pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/yesenvidnath/facerecognitionapplight
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https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2
Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
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https://github.com/bropenguin847/python-learning
Learning Python for Scientific Programming. Intended for beginners with some knowledge of Python.
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https://github.com/olfabelhadj/etude-de-sante-publique-avec-python
OpenClassrooms parcours Data Analyst Projet 4
acp clustering matplotlib-pyplot numpy pandas plotly-express scipy seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/rajan-bhateja/data-analysis-with-python
Cleaning, analysis and visualization on various datasets using Python and its various libraries via Jupyter Notebook
data-cleaning data-science jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/ot-code/coca-cola-stock-prediction
This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.
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https://github.com/aritrakar/ai-projects
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https://github.com/sadegh15khedry/housing-prices-prediction-using-randomforest
This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.
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https://github.com/sadegh15khedry/titanic-survival-prediction
Predicting Titanic survival using neural networks.
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Last synced: 27 Feb 2025
https://github.com/abhisek-13/whatsapp-chat-analyzer
The WhatsApp Chat Analyzer is a data analysis project that provides insights into WhatsApp chats. It analyzes chat data to show metrics like the number of lines, most used letter, chatting duration, media files shared, most used emojis, and group member activity. The results are displayed on a user-friendly dashboard built with Streamlit.
data-analysis data-mining data-visualization eda machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/anuraganalog/navie-bayes
Implemented Gaussian Naive Bayes Classifier from scratch
bayes classifier dataset datasets gaussian guassian-naive-bayes iris multinomial-naive-bayes naive naive-bayes-classifiers numpy py scratch
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https://github.com/mahendra077/linear-regression
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https://github.com/enoobis/conwaygolg
Conway's Game of Life Generator
conway conway-life conway-s-game-of-life conway-sgame conways-game conways-game-of-life game-of-life numpy python
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https://github.com/mstrlc/iss-project
FIT VUT – ISS – signal processing - synthesizing and resynthesizing of a MIDI keyboard
fit iss matplotlib numpy python scipy signal-processing vut
Last synced: 11 Mar 2025
https://github.com/thinker84/real-time-stock-price-prediction-and-market-analysis-using-machine-learning
Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.
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Last synced: 13 Jul 2025
https://github.com/nirmaldeepponnada/codeclauseinternshipproject2
Python, NLTK, Scikit-Learn, Pandas, NumPy, Pickle, SciPy, and JSON are used for text preprocessing, feature engineering, multi-label classification, and model persistence.
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https://github.com/jcm-ai/robust-mlops-elevating-machine-learning-to-production-scale
This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.
aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml
Last synced: 09 Apr 2026
https://github.com/muskan-setiya/spotify-data-analysis
Used Spotify.csv from Kaggle
matplotlib numpy pandas python seaborn tableau
Last synced: 13 Apr 2026
https://github.com/aaaastark/wordassociation-mutualinformation-nlp-project
Word Association and Mutual Information Project
gensim machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python seaborn sklearn wordcloud
Last synced: 13 Apr 2026
https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24
This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.
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https://github.com/karthikmprakash/karthikmprakash
Karthik's Portfolio
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Last synced: 13 Apr 2026
https://github.com/lesiaukr/mathematic_for_cs_colab_hw
Master's degree | HW | Mathematics for Computer Science course | Homeworks
goit google-colab home-works latex linear-algebra mathematics-for-computerscience matrices numpy python vectors
Last synced: 13 Apr 2026
https://github.com/jbayardo/dip-tps
coursework image-processing introduction jupyter-notebook matplotlib notebook numpy python scikit-image scipy
Last synced: 13 Apr 2026
https://github.com/abhinavraj009/x_ray-conversion-csv-
To convert an X-ray image into a CSV format for machine learning or data analysis, you'll typically want to represent the image as numerical pixel values.
machine-learning numpy opencv pandas python
Last synced: 13 Apr 2026