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/abdulsamie10/animalclassification-cnn
Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.
animal-classification cnn colab-notebook computer-vision convolutional-neural-network convolutional-neural-networks deep-learning jupyter-notebook keras machine-learning numpy python python3 pytorch
Last synced: 11 Apr 2026
https://github.com/dharma-acha/resnet18_imageclassification_cnn
In this part of the project, we implement ResNet-18 from scratch using PyTorch and train it on an image dataset to achieve over 75% accuracy. We apply techniques to prevent overfitting and optimize performance, aiming for an accuracy of 80% or higher.
matplotlib numpy python3 pytorch scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/shwetajanwekar/hr-data-analytics
Analyze the HR data through exploratory data analysis, we identified key factors influencing employee attrition, satisfaction levels, and performance. Machine learning models enabled us to predict employee churn and classify potential candidates for promotion.
matplotlib numpy pandas seaborn
Last synced: 19 Apr 2026
https://github.com/kzon94/torn-market-analyzer
Streamlit app that parses Torn Add Listing text, matches items with a custom dictionary, fetches market data via the public API, and generates KPIs and price recommendations using a modular Python analytics pipeline.
data-analysis data-engineering fuzzy-matching market-analytics numpy pandas python streamlit torn-city torn-city-api
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https://github.com/trim0500/fe-stats-classifier
An experiment to create a machine learning model via PyTorch to classify select Fire Emblem unit base stat distributions.
creational-patterns data-analysis data-science data-visualization design-patterns excel jupyter jupyter-notebook matplotlib-pyplot numpy pandas python python-modules python3 pytorch singleton
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https://github.com/svastikkka/data-science-machine-learning
Data Science and Machine Learning
classsification linear-regression machine-learning matplotlib mysql numpy pandas python
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https://github.com/bagusperdanay7/fcc-da-mean-variance-standard-deviation-calculator
One of Data Analysis with Python (freecodecamp) task, created a Mean Variance Standard Deviation Calculator.
data-analysis freecodecamp-project numpy python
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https://github.com/dabrokarol/atmorad-py
A 3D Monte Carlo simulation for radiative transfer.
atmospheric-science monte-carlo netcdf-files numpy physics-simulation python radiative-transfer
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https://github.com/snghrsw/kikagaku-ml-learning
Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類
liner-regestion multiple-regression numpy pandas python scikit-learn
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https://github.com/richardbmk/datascience_machinelearning
projects related with data science and machine learning projects.
data-science machine-learning matplotlib numpy pandas scikit-learn scipy seaborn
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Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.
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https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction
Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.
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https://github.com/nikhil-donthusaram/heartdiseaseprediction
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https://github.com/ritwika-das-gupta/flight_price_prediction
Flight price Prediction is made using decision tree model and Machine learning concepts
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https://github.com/kaguya163/marketing_campaigns
Анализ маркетинговой эффективности в спортивном ритейле.
ab-testing machine-learning matplotlib numpy pandas python scikit-learn scipy sqlite3
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https://github.com/nauxqouh/python-for-data-science-labs
This repo contains weekly practical codes for my Python for Data Science course at university.
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https://github.com/dyarleniber/hands-on-machine-learning
This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.
ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow
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https://github.com/stella4444/linear-regression
learning about linear regression (currently a work in progress) ~ working with data
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https://github.com/rutujaingole/jailbreaking-deep-models
This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained
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https://github.com/tanmay-312/pacman-game-python
"Embark on a nostalgic journey with my Python Pac-Man game! 🎮🕹️ Crafted using pygame, tcod, numpy, and enum libraries, it's a modern twist on a classic. Navigate the maze, chomp pellets, and evade ghosts in this retro-inspired adventure! 🚀👻 #PythonGameDev #PacManRevival #ClassicGaming"
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https://github.com/csengupta1101/housing-price-prediction
Based on given features , this project deals with the prediction of house prices. From data extraction till deployment , everything is detailed in here.
jupyter-notebook matplotlib numpy pandas python python3 scikit-learn vscode
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https://github.com/npodlozhniy/dl-tinkoff
This is a warehouse of my homeworks for master MIPT deep learning course from Tinkoff FinTech
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https://github.com/frauvate/cheatsheet
This project provides ready-to-use templates for machine learning base models. This repo, which contains templates of common models in Jupyter notebook format, aims to help users quickly implement these models and easily adapt them to their own projects.
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https://github.com/dane-meister/machine-learning-algos
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https://github.com/blacksujit/neural_network_using_numpy_and_math
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algorithmic-composition basics-of-python calculus criticalthinking innovation machine-learning maths neural-network neuralnetworkusingnumpy numpy purebasics
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https://github.com/aadrianleo/book-recommendation-system
Book Recommender System using the Book-Crossing dataset. Compares content-based (TF-IDF + cosine similarity) and collaborative filtering (SVD) methods for book recommendations. Includes data cleaning, EDA, and model evaluation (Precision@5, RMSE) in Python.
artificial-intelligence collaborative-filtering content-based-filtering cosine-similarity data-preprocessing jupyter jupyter-notebook machine-learning matrix-factorization numpy pandas predictive-modeling python3 recommendation-system recommender-system scikit-learn sckit-surprise
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https://github.com/doondigangadhar30/ghiblify-animeganv3
A creative tool that generates beautiful Ghibli-style artwork from your image input.
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https://github.com/alaazameldev/text-based-search-engine
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https://github.com/collins-kimotho/wrangle-and-analyze-project
Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data
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https://github.com/shahzaibdev355/house-recommendation-backend
House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.
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https://github.com/aleandropresta/data-science-projects
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data-mining data-science data-visualization matplotlib numpy pandas python seaborn
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https://github.com/rezapace/number-generator
Proyek ini adalah sebuah program yang digunakan untuk menghasilkan deretan angka dengan langkah tertentu dan menambahkan teks setelah setiap angka. Program ini mendukung berbagai metode untuk menghasilkan angka, termasuk penggunaan CuPy untuk memanfaatkan GPU, serta penggunaan threading untuk meningkatkan kinerja.
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https://github.com/gustavoaca1997/placa-orificio-velocidad
script en python3 para obtener la velocidad de una placa orificio mediante tanteos
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https://github.com/vishal-verma-96/Honey_Production_Analysis_using_Python
In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.
matplotlib numpy pandas python-3 python-visualization seaborn
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https://github.com/pakagronglb/istanbul-restaurant-tips-prediction
This project focuses on predicting restaurant tips in Istanbul using machine learning techniques, specifically Linear Regression. The analysis includes data preprocessing, exploratory data analysis (EDA), model training, and evaluation.
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https://github.com/bearddan2000/python-web-3d-matplotlib-vertical-bar-graph
A demo of creating a 3d vertical bar graph.
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https://github.com/hafaio/hilbert-bytes
A python library for converting between d-dimensional points and indices on a hilbert curve
hilbert-curve numba numpy python
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https://github.com/itssahilwhat/AI-Fundamentals
A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.
computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn
Last synced: 02 Jul 2025
https://github.com/bilalm04/autonomous-lane-detection
An autonomous lane detection system leveraging OpenCV to process images and videos, accurately identifying lanes and providing key visualizations.
artificial-intelligence computer-vision lane-detection machine-learning matplotlib numpy opencv python
Last synced: 20 Jan 2026
https://github.com/pymivn/vinastats
Khám phá các sự thật ở Việt Nam với thống kê và số liệu từ tổng cục thống kê Việt Nam
numpy pandas statistics vietnam
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https://github.com/rudrodip/timmygrad
scalar value gradient descent optimizer
backpropagation gradient-descent multilayer-perceptron-network neural-network numpy python3 pytorch
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https://github.com/waynewbishop/bishop-algorithms-quiver-package
Quiver is a Swift package that provides vector operations for Swift applications.
data-science linear-algebra numpy swift vectors
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https://github.com/dataspieler12345/property-plotly-dashboard
bootstrap css3 dash numpy pandas plotly-dash python3
Last synced: 08 Apr 2026
https://github.com/klihe/astar-visualization
I am trying to implement *a path finding algorithm and create a visualization of it with Python and numpy library
algorithm astar-algorithm numpy pathfinding pygame python visualization
Last synced: 06 Apr 2025
https://github.com/lorenzorottigni/ml-titanic
Machine Learning python bootcamp: logistic regression on titanic dataset
ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/djdhairya/car-accident-detection
csv cv2 geocoder geolocation keras math matplotlib numpy opencv pandas scikit-learn system tiwilo transformer
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https://github.com/windjammer6/7.-numpy-pandas-matplotlib-learning-and-practice-python
My learning journey of Python's Libraries NumPy, Pandas and Matplotlib
matplotlib numpy pandas python
Last synced: 08 May 2026
https://github.com/kumpatlapavankumar/medical-insurance-cost-estimation-using-machine-learning
Using python,numpy,pandas,seaborn,matplotlib and machine learning techniques
accuracy-score data-science data-visualization decision-trees exploratory-data-analysis gradient-boosting-classifier label-encoding linear-regression machine-learning matplotlib model-selection-and-evaluation numpy pandas prediction preprocessing python random-forest train-test-split xgboost-regression
Last synced: 28 Apr 2026
https://github.com/newsoftwareculture/datascience
jupyter-notebook keras-tensorflow numpy object-detection opencv pandas python3 tensorflow
Last synced: 12 Apr 2026
https://github.com/maruf346/python-programs
Here some basic python programs are uploaded. Find your needed one. Happy coding!
dict-python list-in-python numpy numpy-exercises pandas-python set-in-python tuples-in-python
Last synced: 16 May 2026
https://github.com/epsoft/embedding
Embedding
adam dense embedding flatten itertools numpy onehotencoder optimizers pandas sequential tensorflow
Last synced: 12 Apr 2026
https://github.com/iamkushvanth/marketing-campaign-analysis
Data analysis comparing the performance of Facebook and AdWords ad campaigns in 2019, Using Statical Methods such as A/B test focusing on clicks, conversions, cost-effectiveness, and seasonal trends.
ab-testing hypothesis-testing linear-regression matplotlib-pyplot numpy pandas python regression-analysis scikit-learn scipy stastistics
Last synced: 07 Apr 2026
https://github.com/jillmpla/pythonxmldatabase
A Python & XML database application for a book collection.
database matplotlib numpy pandas pandas-dataframe python xml
Last synced: 12 Apr 2026
https://github.com/iadtya/hate-text-classification
Training RNN(LSTM) on Hate speech with tensorflow and keras
fastapi keras lstm nltk numpy pandas tenserflow
Last synced: 12 Apr 2026
https://github.com/jpcadena/ventas-facturas
Ventas con facturas
data data-analysis data-exploration data-extraction data-science excel feature-engineering matplotlib microsoft numpy pandas powerbi product-sales pylint python receipts sales
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https://github.com/kellsworks/data-science-python-scripts
Data science python scripts
beautifulsoup4 numpy pandas python python-csv selenium selenium-webdriver statistics
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https://github.com/webintellectual/coloured-image-to-b-w-converter-web-app
A Streamlit web application to convert a coloured image to black and white image.
numpy opencv pil pillow python3 streamlit streamlit-webapp
Last synced: 12 Apr 2026
https://github.com/gurpreet0022/unveiling-pcos
Data Driven approach to get insights about PCOS
analysis eda insights matplotlib numpy pandas python3 scipy-stats seaborn visualisation
Last synced: 12 Apr 2026
https://github.com/kaladabrio2020/algebra-linear-computacional
algebra cpp matplotlib numpy python
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https://github.com/amruta33/customer-support-on-twitter
The Customer Support on Twitter dataset is a large, modern corpus of tweets and replies to aid innovation in natural language understanding and conversational models, and for study of modern customer support practices and impact.
nlp numpy pandas python regex sklearn
Last synced: 12 Apr 2026
https://github.com/id-andyyy/alfahack
📈💰 Investment propensity prediction model
catboost hackathon-project jupyter lightgbm numpy optuna pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/dane-meister/neural-network
Creating a Neural Network from scratch.
activation-functions loss-functions machine-learning neural-network neural-networks neurons numpy python python3
Last synced: 02 Jul 2025
https://github.com/alwaysvivek/evolving-ai-biosphere
A self-evolving AI biosphere leveraging LSTM/REINFORCE for adaptation.
ai artificial-intelligence biology deep-learning devops evolutionary-algorithms machine-learning mlflow mlops numpy python3 pytorch reinforcement-learning simulation torch
Last synced: 12 Apr 2026
https://github.com/adarshpheonix2810/fake-job-post-detection
This project focuses on detecting fake job posts using machine learning. Fake job advertisements are often created to scam individuals by stealing personal information or money.
data-analysis deep-learning joblib machine-learning nlp-machine-learning numpy pandas python scikit-learn tkinter
Last synced: 12 Apr 2026
https://github.com/tebogoyungmercykay/mathematical_modelling_in_python
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
clock counter differential-equations equations-and-plotting growth-factor is-sorted lamda-expressions linearization logistic-difference-equations mathplotlib numpy pell-recursive polyfit python recursion rieman-sums sympy
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https://github.com/shahsuvarli/election-voters-data-analysis-pandas
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cleaning data grouping matplotlib numpy pandas python visualization
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https://github.com/f-ssemwanga/dab-dataanalysis
DAB Radio Data Analysis Application
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https://github.com/abdulloyev/datascientis-opensource
big-data linear-regression numpy pandas polinomial-regression python-3
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https://github.com/3rd-son/movie-streaming-service-analysis
Exploratory Data Analysis of the Streaming Services like Neflix, Hulu, Disney+ etc
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https://github.com/nicolas-giacomelli/modelo-polinomial-api-streamlit
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https://github.com/nazwright/daria
Real-time fraud detection architecture powered by AWS Kinesis, KaggleHub, and SMOTE-augmented data — the foundation of DARIA, the Detection And Risk-Intelligence Agent.
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https://github.com/allenvox/statistics
Workspace for applied problems of probability theory & mathematical statistics & modelling class
acf autocorrelation distribution k-means k-means-clustering maths matplotlib numpy probability-theory python sklearn statistics
Last synced: 17 Apr 2026
https://github.com/fimbres/emotion-recognition
This is an AI project developed in Python to recognize emotions in people.
ai kaggle-dataset keras numpy opencv python tensorflow
Last synced: 12 Apr 2026
https://github.com/urvee1810/eda-time-series
A comprehensive time series analysis of French retail quarterly sales data from 2012 to 2017. The project focuses on analyzing sales patterns, seasonal decomposition, and trend analysis using various statistical techniques and visualizations.
arima-modeling data-visualization exploratory-data-analysis matplotlib numpy pandas pmdarima python scikit-learn seaborn statsmodels time-series-analysis trend-analysis
Last synced: 12 Apr 2026
https://github.com/yousefalaaali/video-game-sales
Data Analysis Project - Video Game Sales
k-means-clustering matplotlib numpy pandas principal-component-analysis python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/jvictor011/analise_de_precos_de_materias-primas_agricolas
Este projeto concentra-se na análise dos dados de preços de várias matérias-primas agrícolas ao longo do tempo. O conjunto de dados usado para esta análise é chamado de agricultural_raw_material.csv.
matplotlib numpy pandas python seaborn
Last synced: 07 May 2025
https://github.com/parkjungyoon/til-data_study
✍ 데이터분석, 데이터베이스, 클라우드 컴퓨팅 등을 공부하고 기록하는 저장소 입니다.
crawling machine-learning monodb mysql numpy pandas python
Last synced: 12 Apr 2026
https://github.com/mzayles/report_consolidado_analise-descritiva
💻📊✅ Curso de Programação em Python para Data Science | Mensuramento de dados com Matplotlib.
matplotlib numpy pandas python
Last synced: 24 Mar 2025
https://github.com/mzayles/base_vendas_dataprep
💻📊✅ Curso de Programação em Python para Data Science | Preparando e tratando dados com Pandas e NumPy.
Last synced: 24 Mar 2025
https://github.com/jvictor011/big-five-personality-test
Usando machine learning para fazer o agrupamento de um sistema de traço de personalidade
matplotlib numpy os pandas python seaborn
Last synced: 07 May 2025
https://github.com/sultanazhari/prediction-model-of-customers-leaving
Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.
accuracy-score confusion-matrix logistic-regression-algorithm matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
Last synced: 20 Apr 2026
https://github.com/shandilya1998/neurorobotics
Python tools for robotics, deep reinforcement learning and neuroscience research.
computational-neuroscience mujoco mujoco-py numpy openai-gym pytorch reinforcement-learning robotics
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https://github.com/raoulnormand/easygrader
A library to easily calculate course grades.
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https://github.com/abideen-olawuwo/converted-web-app
Deploying model with Flask
flask jsonify matplotlib numpy pandas pickle python requests
Last synced: 12 Apr 2026
https://github.com/kunalshelke90/students_marks_prediction_in_exams
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization .Later on deployed on AWS with help of docker
dokcerfile flask githubactions machine-learning matplotlib mlops numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/criscorreas/ad-prediction-classification-models
Alzheimer's Disease (AD) prediction using the OASIS-2 dataset
alzheimers-disease keras lgbmclassifier matplotlib model-classification numpy oasis-2 pylab python pytorch scipy seaborn sklearn tensorflow
Last synced: 12 Apr 2026
https://github.com/sofiaalmaz/fanfictionproject
Анализ фанфиков по Гарри Поттеру с целью написания самого популярного фанфика
analysis fanfics fanfiction harry-potter jypyternotebook matplotlib ml networkx numpy pandas python scipy seaborn streamlit wordcloud
Last synced: 06 Jan 2026
https://github.com/azaz9026/car_price_prediction_model
This repository contains a machine learning model designed to predict car prices based on various features. Using historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.
data-analysis data-engineering liner-regestion machine-learning modeling numpy pandas python3 rendering
Last synced: 09 Apr 2026
https://github.com/khushi130404/catnet
CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.
h5py matplotlib numpy pillow scipy
Last synced: 12 Apr 2026
