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/kucera-lukas/imagesecrets
RESTful API for encoding/decoding messages into/from images.
api asyncio docker fastapi heroku mypy numpy pillow poetry postgresql pydantic pytest pytest-cov pytest-mock python python-typing restful-api steganography swagger tortoise-orm
Last synced: 28 Feb 2025
https://github.com/mike014/soundbot
This Repository will contain the prototype of a ChatBot created for the playback of audio, or everything related to audio in the world of video games and not.
chatbot dsp nlp nlp-library nlp-machine-learning numpy python scipy sound-processing
Last synced: 13 Apr 2026
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/prateekrajsrivastav/financial-transition-classification
This project focuses on classifying financial transactions using machine learning techniques. By leveraging labeled data, the model aims to categorize transactions into predefined categories (e.g., "Food," "Transport," "Shopping," etc.).
matplotlib numpy pandas-python scikitlearn-machine-learning seaborn
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https://github.com/djdhairya/car-parking-detection
cnn cv2 deep deep-learning epoch flask keras numpy numpy-arrays opencv pickle tensorflow
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https://github.com/cezlul/analyse-ventes-immobilier
Solution ML d'analyse immobilière parisienne : classification automatique appartements vs commerces (K-means, 91%) et prédiction prix (régression, R²=0.98) sur 26K transactions. Valorise portefeuille 169M€ avec recommandations stratégiques data-driven.
data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python sklearn
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https://github.com/lexiortiz/ibm-data-engineering-fundamentals
Notes, exercises, and projects from the IBM Data Engineering Fundamentals path via Verizon Skill Forward.
data-engineering numpy pandas postegresql python sql
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https://github.com/waghraj1699/sms-spam-detection
A web app to check wheather the messages are spam or not.
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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/ivancaez/analisis_dades_microbit
Data analysis of Micro:bit with maplotlib, numpy and pandas
csv jupyter-notebook matplotlib microbit numpy pandas python
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https://github.com/hilarionengarejr/movie-recommender-app
Sentiment analysis on user reviews for movie recommendations using Content Based Filtering.
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https://github.com/mosalem149/data-mining-assignments
That repo for data mining quizzes and tasks.
anaconda data-mining dataframe jupyter-notebook matplotlib mlxtend numpy pandas python quizzes scikit-learn seaborn tasks
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https://github.com/tharushiimasha/python-practice
This repository contains Python programs and exercises from practice sessions. It covers Python basics, file handling, and libraries like NumPy and pandas for data manipulation.
api-integration csv-files file-handling json-files jupyter-notebook numpy oops-in-python pandas python web-scraping
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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
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Developing an e-commerce recommendation system involves utilizing technologies such as Python for programming, Pandas for data manipulation, SQL for database management, FastAPI for building APIs, PostgreSQL for data storage, and Docker for containerization.
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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.
data-analysis data-analytics data-visualization dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn streamlit
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https://github.com/fearless-spider/spideroptic-cli
Spider Optic CLI is a command line application.
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https://github.com/harmanveer-2546/tweets-cleaning-with-python
Twitter is one of the most used data sources for data analysis. The reason is that it’s open and free to collect unless you subscribe to the paid version one. Besides, it’s pretty simple to collect data from it.
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https://github.com/lingumd/school_district_analysis
Updated test score data and school district analysis using Python.
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https://github.com/csengupta1101/rock-paper-scissor-game
Rock Paper Scissor game built with Python 3. Jupyter notebook used as IDE. Code File , Read Me attached herewith.
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https://github.com/abideen-olawuwo/nyc-taxi
Prediction the duration of New York Taxi trip
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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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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.
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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/naveen88112/clustering_customer_invoice_data
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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.
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https://github.com/animesh-chourey/loan-classifier
Trained machine learning algorithms (Logistic Regression, KNN, SVM, Decision Tree) specifically, after performing visualization and pre-preocessing tasks on a loan dataset. Executed the evaluation metrics such as F1-score, Log loss and jaccard-similarity score to assess the algorithms performance.
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Keras + NumPy baselines for housing price regression
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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/yipjunkai/pyvolr
Modern Black-Scholes-Merton pricing, Greeks, and implied volatility for Python. Rust core. Drop-in replacement for the abandoned py_vollib.
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https://github.com/shibbir24/a-data-driven-approach-to-food-security-and-supermarket-accessibility
A Data-Driven Approach to Food Security and Supermarket Accessibility
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https://github.com/tromesh/attendance-predictor
Student Attendance predictor for Scheduling lecture sessions
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https://github.com/themusharraf/loan-predictor
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https://github.com/falakjatin/face-recognition
This is my final year project of engineering. It might not work because its not maintained.
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Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm
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https://github.com/iv4n-ga6l/Simple-Image-Segmentation
Simple implementation of image segmentation using the Watershed algorithm
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https://github.com/saro0307/exploratory-data-analysis-terrorism
Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023
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https://github.com/dmarks84/coursework_project_nlp-with-nltk
Project for University of Michigan Applied Data Science Specialization -- Utilized NLTK library to process natural language, and then built several spelling recommenders for a list of misspelled words.
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Trayecto de formación en Ciencias de Datos con Python y Pandas
data-science matplotlib numpy pandas python seaborn
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https://github.com/shwetapardhi/assignment-03-q2--hypothesis-testing
Anova ftest statistics A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine wheth
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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
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https://github.com/1adityakadam/uber_data_analytics
End to end Google Bigquery + Looker Studio Data Analytics Project Transforming NYC Taxi Data into Actionable Intelligence
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In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.
data-visualization exploratory-data-analysis instacart matlpotlib numpy pandas
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https://github.com/mahendra077/linear-regression
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https://github.com/leogaudin/python_piscine_for_data_science
42 • Python Piscine for Data Science
42 data-science matplotlib numpy oop pandas piscine python
Last synced: 13 Apr 2026
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/niel0503/probabilidade-e-amostragem
Desafio desarrollado para el bootcamp de WoMakersCode
estadistica matplotlib numpy pandas stats
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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/dmarks84/coursework_project_network-analysis-node-link-prediction
Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)
classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization
Last synced: 13 Apr 2026
https://github.com/vishant007/annadataa
A Website For Farmers To Guide Them Regarding Crop Prouction In Their Native Language
django flask-application google-collab kaggle machine-learning-algorithms numpy pandas python3 scikit-learn
Last synced: 13 Apr 2026
https://github.com/pythonhealthdatascience/stars-reproduce-lim-2020
Assessing the computational reproducibility of Lim et al. 2020 as part of STARS.
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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
https://github.com/lupin3000/augmentedreality
Introduction into augmented reality (AR) with Python OpenCV ArUco markers.
aruco aruco-marker camera-calibration marker-detection numpy opencv pose-estimation python
Last synced: 13 Apr 2026
https://github.com/subratamondal1/heart-attack-prediction
Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.
data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/ola-kaznowska/numpy-matrix-arrays
Practice working with the NumPy library and multiple arrays. Copy() and view() functions
Last synced: 18 Apr 2026
https://github.com/anikdascodes/fantasy-cricket-project
🏏 Python simulation for generating 20K+ unique fantasy cricket teams with probability-based player selection and constraint optimization. Advanced algorithms, data analysis & visualizations included.
algorithm constraint-satisfaction cricket data-science fantasy-sports jupyter machine-learning numpy optimization pandas plotly probability python simulation sports-analytics
Last synced: 28 Apr 2026
https://github.com/nihanthbhargav/time-series-stock-market
This project combines computer vision and NLP by segmenting pet images with a U-Net model and generating captions using CNN-RNN/LSTM. Using the Oxford-IIIT Pets dataset, it demonstrates a unified pipeline that integrates pixel-level segmentation with automatic caption generation for meaningful image understanding.
matplotlib numpy pandas plotly python scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/patilsukanya/assignment-06.-logistic-regression
Used libraries and functions as follows:
classifier concatination confusion-matrix eda linear-models logistic-regression logistic-regression-algorithm logit-model matplotlib-pyplot numpy one-hot-encoding pandas python roc-auc-score roc-curve seaborn
Last synced: 05 Oct 2025
https://github.com/sweta-kaundilya/finance-data-project
This data project focuses on exploratory data analysis of bank stock prices throughout financial crisis all the way to early 2016.
financial-analysis jupyter-notebook matplotlib numpy pandas-python seaborn
Last synced: 16 May 2026
https://github.com/farhad-here/height-distribution-analysis
Statistical comparison of height distributions in two groups using mean, standard deviation, and boxplots.
coefficient-of-variation data-analysis interquartile-ranges matplotlib mean numpy python scipy standard-deviation variance
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https://github.com/minhtungonep/android-traffic-analysis
Android malware detection project analyzing network traffic patterns in a telecommunications context. Uses statistical hypothesis testing and data visualization to evaluate traffic features like DNS query times, TCP packets, and volume bytes for distinguishing between benign and malicious Android applications.
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https://github.com/sducournau/ign_lidar_hd_dataset
🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.
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https://github.com/ashishgoswami13/handgesture_recognition
Real-time hand gesture recognition using computer vision and deep learning. Collect gesture images, train a model with Google Teachable Machine, and classify gestures live for applications like drone control or human-computer interaction.
computer-vision cvzone handgesture-recognition keras numpy python teachable-machine
Last synced: 18 Apr 2026
https://github.com/christabelsakyi/tsec
This project implements a time series forecasting solution for predicting electricity consumption based on historical data. It provides multiple model options, a Flask API for deployment, and visualization tools.
facebook numpy pandas python sklearn time-series-analysis
Last synced: 07 Oct 2025
https://github.com/thejvdev/ml-from-scratch
Repository for Implementing ML Models from Scratch in Python
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Last synced: 02 Apr 2026
https://github.com/NetBr3ak/Planetary-System-Simulation
Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.
astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application
Last synced: 08 Oct 2025
https://github.com/ercodex/predicting-new-medicines-with-sgd-classifier
"Shittiest Model of the Competition" award winner!
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Last synced: 14 Apr 2026
https://github.com/ahmrina/unetbraintumorseg
UNetBrainTumorSeg is a 3D Slicer extension named "seg_module" that integrates a 3D UNet trained on BraTS2020 dataset to segment brain tumor area from MRI volumes
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https://github.com/piragashparam36/image-classification
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https://github.com/harshavardh8n/machine-learning-projects
Machine Learning Projects: A collection of machine learning projects developed as part of the curriculum, utilizing libraries such as NumPy, Pandas, Seaborn, and Matplotlib. These projects demonstrate various algorithms, including Apriori and Decision Trees, showcasing practical applications and data analysis techniques.
apriori-algorithm decision-trees jupyter-notebook machine-learning numpy pandas python
Last synced: 18 Jan 2026
https://github.com/nikhleshshukla123/web-scraping-using-python
scrapes multiple pages of Amazon search results using python.
beautifulsoup4 numpy pandas python
Last synced: 03 May 2026
https://github.com/gherrada22/spanish-sign-translator
This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.
language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml
Last synced: 18 Jan 2026
https://github.com/tuokri/rs2simlib
Python library for Rising Storm 2: Vietnam physics objects simulation and automated data collection.
numba numpy physics rising-storm-2-vietnam simulation unreal-engine-3
Last synced: 23 Feb 2026
https://github.com/ianhaggerty/final-capstone
This represents the final capstone project in my HyperionDev Data Science (fundamentals) course. A dataset of Amazon customer reviews is analysed using natural language processing.
amazon data-analytics data-science data-visualization dataset matplotlib nlp nlp-machine-learning numpy pandas plotly reviews seaborn spacy tabulate textblob wordcloud
Last synced: 19 Jan 2026
https://github.com/rakesh3596/apple-phone-sales-analysis
Apple Phone Sales Analysis using Python tools like Pandas, Matplotlib, Numpy, Plotly, Apple csv file
csv-files csv-reader matplotlib numpy pandas plotly python
Last synced: 14 Apr 2026
https://github.com/farhannirzhor/python_eda_project_on_diwali_sales_analysis
In this project, I was given a sales data. I analyzed their sales data and shared a summary
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Last synced: 04 May 2026
https://github.com/gopikrsmscs/mycinepick-recommendation-system
MyCinePick is a user-specific movie recommendation system built using collaborative filtering techniques. This project aims to provide personalized movie suggestions tailored to each user's unique viewing preferences and habits.
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Last synced: 14 Apr 2026
https://github.com/paulokarabyna/ml-foundations-day1
🔧 Set up a Python environment and practice linear algebra with NumPy while plotting vectors and reflections in this Day 1 ML foundations starter repository.
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https://github.com/chandkund/housing-price-prediction
Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
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Last synced: 21 Jan 2026
https://github.com/yaswanth1702/python
matplotlib numpy pandas python scipy
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https://github.com/anjaliwork20/heart-failure-prediction
Heart Failure Prediction in Humans
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Last synced: 21 Jan 2026
https://github.com/alisonmitchell/titanic
Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.
deep-learning keras machine-learning matplotlib numpy pandas python scikit-learn scipy seaborn tensorflow
Last synced: 14 Apr 2026
https://github.com/fairlytales/machine_learning
Workbooks for machine learning and neural network courses, textbooks, etc.
jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy opencv opencv-python pandas python pytorch scikit-learn scipy
Last synced: 14 Apr 2026
https://github.com/sweta2501/ml
Consist of ML projects based on Python along with DataSheets
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https://github.com/probokrishnacahya/machine_learning
IMT01306601-A Machine Learning
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Last synced: 14 Apr 2026
https://github.com/soumyapro/parkinson-disease-prediction
This project predicts Parkinson's disease using machine learning models.
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Last synced: 19 Jan 2026
https://github.com/lorenzorottigni/ml-kyphosis
Machine Learning python bootcamp: decision trees & random forest on kyphosis dataset
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Last synced: 14 Apr 2026
https://github.com/azaz9026/python_project_for_data_analysis
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https://github.com/mr-chang95/udacity-starbucks-challenge
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
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Last synced: 14 Apr 2026
https://github.com/ashutosh65000/invisible-cloak
Have you watched the Harry potter movie? The Invisible Cloak scene pushed me to make this small code.
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Last synced: 19 Apr 2026
https://github.com/gayatri018/ab-testing-marketing-campaign
This project involves conducting A/B testing to evaluate the performance of two marketing campaigns: Facebook Ads and Google Adwords for an online retail business. The primary goal is to determine which campaign is more effective in driving user engagement and conversions, helping the company optimize its marketing strategies.
ab-testing linear-regression matplotlib numpy pandas python scipy seaborn sklearn-
Last synced: 10 Apr 2026
https://github.com/guybanbo/qr-algorithm
QR alogrithm for finding eigenvalues and eigenvectors of a large symmetric matrix
haskell hmatrix numpy optimization python qr-algorithm symmetric-matrix
Last synced: 19 Jan 2026