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: 2026-07-02 00:21:34 UTC
- JSON Representation
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/prakashjha1/email-sms-spam-classifier
Many email services today provide spam filters that are able to classify emails into spam and non-spam email with high accuracy.
machine-learning natural-language-processing numpy pandas python
Last synced: 10 May 2026
https://github.com/grachale/convolution_image
The implementation of a function that takes an image (RGB or gray one) and a filter (kernel) and applies a convolution between them.
convolution image-processing numpy python
Last synced: 03 May 2026
https://github.com/jjerphan/joml
A minimalist numpy-baked Neural Network API
deep-learning fun minimalist neural-network neural-networks numpy python wheel-implementing
Last synced: 10 May 2026
https://github.com/akshay-rajan/machinelearning
Introduction to Machine Learning
machine-learning machine-learning-algorithms matplotlib numpy pandas sklearn
Last synced: 09 Apr 2026
https://github.com/egorumaev/2024-ab-tests-metrics
Анализ соответствия размера выборки и плановых значений метрик A/B-теста
latex monte-carlo-method numpy pandas statmodels
Last synced: 04 May 2026
https://github.com/florasteve/ml-foundations-day2
Day-2 ML foundations: probability/stats refresh and NumPy logistic regression; notebooks with visuals.
data-science jupyter-notebook logistic-regression machine-learning matplotlib numpy statistics
Last synced: 10 May 2026
https://github.com/winterwind/covid19_transfer_learning
A larger data science project that uses a 2D Convolutional Neural Network to determine the likelyhood of having covid-19 via CT images
2d-convolution adam-optimizer binary-classification cnn convolutional-neural-networks ct-images ct-scans eigencam gradcam heatmap jupyter-notebook matplotlib matplotlib-pyplot neural-networks numpy pyplot python pytorch resnet-18 transfer-learning
Last synced: 04 May 2026
https://github.com/pravalika-hub11/marketing
CHECKIG
matplotlib-pyplot numpy pandas python
Last synced: 10 May 2026
https://github.com/timothyjan/intro-machine-learning-polynomial-regression
We use NumPy to implement vectorized linear and polynomial regression models and compare their performance using separate training and test sets.
Last synced: 04 May 2026
https://github.com/jalijuhola/neurcomputing-course
Some of tasks from neurocomputing course
Last synced: 04 May 2026
https://github.com/ersinerzurum/monai
2D-3D segmentation using monai
artificial-intelligence cv2 deep-learning ipynb jupiter-notebook mathplotlib monai numpy os python pytorch segmentation
Last synced: 04 May 2026
https://github.com/miozilla/fescarefine
fescarefine :skier::mount_fuji::guide_dog: : Refine & Test ML Models # Features Scaling # Normalization # Datasets
gradient-descent linear-regression matplotlib model-testing mse norm numpy ols overfit pandas scatter seaborn sklearn standardization statsmodels underfit
Last synced: 04 May 2026
https://github.com/florianwoelki/salary_linear_regression
This project is for salary prediction using linear regression without any machine learning library.
jupyter linear-regression machine-learning matplotlib numpy pandas python regression
Last synced: 04 May 2026
https://github.com/rifkyiqbal52/data-analytics-and-visualization-projects
used cars dataset analysis and visualization
descriptive-statistics inferential-statistics matplotlib numpy pandas python seaborn stats tableau-public
Last synced: 04 May 2026
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/shubhansu-kr/int213-python-programming
Python Programming | Semester 3 | Python | OOPS | Tkinter | Pandas | Numpy
lpu numpy oops-in-python pandas python sem3 tkinter-gui
Last synced: 10 May 2026
https://github.com/charlenry/machine_learning_estimer_prix_voiture
Projet de Machine Learning pour estimer le prix d'une voiture d'occasion via une application
joblib jupyter-notebook matplotlib-pyplot numpy oop-python pandas plotly-express python sklearn-linear-model sklearn-linear-regression
Last synced: 04 May 2026
https://github.com/hajdu-patrik/nlp_music-mood-classifier_bme_hf
This project is a Python-based NLP system that analyzes song lyrics to determine their emotional profile and recommends similar songs.
nlp nlp-machine-learning numpy pandas python
Last synced: 10 Nov 2025
https://github.com/jatin-s16/neuron_from_scratch
Hey! I am learning to build neural networks from scratch without the use of built-in Python libraries.
deep-learning neural-networks nnfs numpy python
Last synced: 10 May 2026
https://github.com/nordic96/lanedetection
Lane Detection Module using OpenCv and Python for educational purpose.
computer-vision lane-detection matplotlib-pyplot numpy opencv python3
Last synced: 04 May 2026
https://github.com/abhijeet-bhambere/exploratory_data_analysis
A collection of several projects for conducting EDA on datasets from various sources
exploratory-data-analysis matplotlib numpy pandas python
Last synced: 04 May 2026
https://github.com/pedasoft-consult/product_purchase_prediction
As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 04 May 2026
https://github.com/swarup-ranjan-mondal/chat-analyzer
A streamlit app to analyze whatsapp personal and group chats.
matplotlib numpy pandas python seaborn streamlit
Last synced: 04 May 2026
https://github.com/velascort/image_equalizer_gui
Image equalizer using LUT interface.
image-processing lut numpy python scikit-image ttk
Last synced: 10 May 2026
https://github.com/rtgrt5645/numpy-lab
🧮 Explore, manipulate, and visualize data with NumPy to enhance your Python skills in scientific computing and data analysis.
array-operations data-analysis data-science jupyter-notebook machine-learning numerical-computing numpy numpy-arrays numpy-library numpy-python python python3 scientific-computing
Last synced: 04 May 2026
https://github.com/abhinav330/911-emergency-calls-analysis
This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.
data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python
Last synced: 09 Jun 2026
https://github.com/ferasaljoudi/driverdrowsinessdetection
Driver Drowsiness Detection using Machine Learning
drowsiness-detection keras-tensorflow machine-learning matplotlib numpy pandas python pytorch tensorflow
Last synced: 11 Apr 2026
https://github.com/reubenmathew/docscanner
📸 Document Scanner using an OpenCV Edge Detection Engine
Last synced: 11 Apr 2026
https://github.com/vansh-py04/convolution-net-from-scratch
A minimal NumPy-based implementation of a 3-layer convolutional neural network (CNN) from scratch — including custom forward and backward passes for conv, ReLU, pooling, affine, and softmax layers. Perfect for learning how CNNs actually work under the hood.
backpropagation cnn computer-vision convolutional-neural-networks cs231n cs231n-assignment deep-learning from-scratch from-scratch-in-python fully-connected-network machine-learning maxpool2d nueral-networks numpy softmax stanford-deep-learning
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https://github.com/stella4444/linear-regression
learning about linear regression (currently a work in progress) ~ working with data
linear-regression machine-learning numpy scikit-learn
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https://github.com/jagroop2001/learning-numpy
Learning NumPy complete the exercise
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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"
enum game game-development gamedev numpy pygame pygame-games python python-3 python3 tcod
Last synced: 22 Apr 2026
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
Last synced: 11 Apr 2026
https://github.com/hmourad2023/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
Last synced: 01 Aug 2025
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.
machine-learning machinelearning matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/relostar-devil/census-income-prediction
An end-to-end ML project using 1994 US Census data to classify income (>50K/<50K). The Jupyter Notebook covers data preprocessing, EDA, and model evaluation with multiple classifiers.
matplotlib numpy pandas scikitlearn-machine-learning seaborn
Last synced: 10 May 2026
https://github.com/lmlk-seal/pyspeed
Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.
analyzer customtkinter gui intelligent numpy optimization optimization-tools performance python real-world-problem-solving
Last synced: 23 Jun 2026
https://github.com/nickklos10/league-of-legends-match-predictor
Predicting League of Legends Match Outcomes Using Logistic Regression and PyTorch.
jupyter-notebook matplotlib numpy pandas pytorch scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/shanaxrules/ml-exercise-practice
Notebook for all ML exercises
jupyter machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot numpy pandas scikitlearn-machine-learning tensorflow
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https://github.com/dmarks84/coursework_project_ml-classification
Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics
classification communication data-modeling dataframes numpy pandas python scikit-learn supervised-ml
Last synced: 11 Apr 2026
https://github.com/hanzopgp/randomkagglesolving
Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.
artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib numpy personal tensorflow
Last synced: 04 May 2026
https://github.com/aaaastark/textclassification-nlp-project
Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV
matplotlib nltk numpy pandas python seaborn sklearn textblob wordcloud
Last synced: 11 Apr 2026
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.
flask flask-api flask-cors numpy pandas scikit-learn tensorflow
Last synced: 05 Jan 2026
https://github.com/aleandropresta/data-science-projects
A collection of my Data Science projects
data-mining data-science data-visualization matplotlib numpy pandas python seaborn
Last synced: 26 May 2026
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.
colab cupy custom generator jupiter kumal link number numpy pyhon webkumal webkumal-projek
Last synced: 11 Apr 2026
https://github.com/gustavoaca1997/placa-orificio-velocidad
script en python3 para obtener la velocidad de una placa orificio mediante tanteos
chemistry numerical-calculations numerical-methods numpy python
Last synced: 01 May 2026
https://github.com/nirmaldeepponnada/codeclauseinternshipproject1
This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.
kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer
Last synced: 11 Apr 2026
https://github.com/zhanziyuan/pixelpuzzle-web
Encode/decode images using Base64 or shuffle/recover the pixels of images.
anime encryption image image-processing numpy python
Last synced: 11 Apr 2026
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
Last synced: 28 May 2026
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
Last synced: 11 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/prashhhant213/cardioflex-treadmill-analysis-using-descriptive-statistics-probability
Description Analysis and Visualization on CardioFlex Treadmill data to provide insights and recommendations to improve their userbase.
colab-notebook numpy pandas probability python stats
Last synced: 11 Apr 2026
https://github.com/prithvi45/machine-learning-prerequisites
Basics to Advance concepts on Numpy, Pandas, Matplotlib
matplotlib numpy pandas python
Last synced: 09 Apr 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
Last synced: 02 Apr 2026
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/privatepeople/dataanalysis
데이터 분석 공부를 위한 저장소
data-analysis data-science data-visualization matplotlib numpy pandas python scikit-learn scipy
Last synced: 26 Jan 2026
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
Last synced: 31 Mar 2025
https://github.com/applicativesystem/numpy-builder
code getter and numpty operator for numpy operations
data-analysis numpy numpy-python shell-script
Last synced: 15 Aug 2025
https://github.com/costopoulos/ntua-telecommunications
:radio: :telephone_receiver: NTUA ECE Telecommunications Course Code & Report
numpy nyquist python sampling scipy telecommunications
Last synced: 20 Apr 2026
https://github.com/baschin1103/machine-learning-linear-regression-tsi
The model is the multiple linear regression loaded from scikit-learn. The aim is to create a model to forecast the so called Total-Skill-Index (TSI) of a player from hattrick.org. More information on: https://wiki.hattrick.org/wiki/Total_Skill_Index. In this repository is the programm and necessary data.
csv linear-regression machine-learning numpy pandas python statistics
Last synced: 11 May 2026
https://github.com/shwetapardhi/assignment-3-q3-hypothesis-testing
Chi2 contengency independence test image of Buyer Ratio Assume Null Hypothesis as Ho: Independence of categorical variables (male-female buyer rations are similar across regions (does not vary and are not related) Thus Alternate Hypothesis as Ha: Dependence of categorical variables (male-female buyer rations are NOT similar across regions (does v
chi2-contingency contingency-analysis hypothesis-testing norm numpy pandas python scipy stats
Last synced: 12 Apr 2026
https://github.com/ebadshabbir/logistic_regression-binomial-
Logistic Regression on Social Network Ads Dataset This project applies Logistic Regression to predict whether a user will purchase a product based on their age and estimated salary, using the Social Network Ads dataset. The data is split into training and test sets, with feature scaling applied for normalization.
classification jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/saopicc/ddfacet-kernels
Modular implementation of the DDFacet Gridding Kernels
Last synced: 26 Jan 2026
https://github.com/ashishsingh789/titanic_dataset_eda_and_visualization
This repository contains an exploratory data analysis (EDA) of the Titanic dataset. Key analyses include survival rates by gender, passenger class, age distribution, family size, and correlation heatmaps.
data data-science dataanalysis matplotlib numpy pandas pandas-dataframe python seborn visualisation
Last synced: 11 Apr 2026
https://github.com/shhiivvaam/traffic_prediction
This project explores the application of advanced neural network architectures, including Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU), to forecast traffic volume. 👍👍✅
conv1d conv2d keras lstm matplotlib numpy pandas seaborn sklearn statsmodels 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/tjpavii0809/classification-regression-models
Simple Predictive Model of Machine Learning
data-science numpy pandas scikit-learn supervised-learning
Last synced: 20 Jan 2026
https://github.com/sadegh15khedry/creditcard-transaction-anomaly-detection-using-isolationforest
detecting fraudulent transactions in credit card data using anomaly detection techniques.
anomaly-detection matplotlib numpy pandas python seaborn sklearn
Last synced: 27 Feb 2025
https://github.com/rakibhhridoy/differentprojects
Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!
data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics
Last synced: 11 Apr 2026
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/anshpg/vectorwave
The Jupyter Notebook (ipynb file) contained within this repository serves as the primary codebase for this project. It demonstrates how to preprocess the input data, train the logistic regression classifier, evaluate its performance, and save the trained model for future use.
collab jupyter-notebook matplotlib-pyplot numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/adamouization/python-machine-learning-data-science-notes
:orange_book: Jupyter notebooks containing useful Python code and notes for general Machine Learning and Data Science projects.
data data-science data-visualization guide jupyter jupyter-notebook machine-learning matplotlib notes numpy pandas pandas-dataframe python seaborn
Last synced: 11 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/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/jacobpclouse/526-hw-3-sss
ICSI 526 Homework 3 - Spring 2023 - Shamir Secret Sharing
encryption-decryption lagrange-polynomial-interpolation numpy opencv pil python3 shamir-s-secret-sharing-scheme shamir-secret-sharing shamirs-secret-sharing
Last synced: 05 May 2026
https://github.com/hairymax/python-for-science-lecture-notes
Tutorial material on the scientific Python ecosystem in Russian
matplotlib numpy python scipy sympy
Last synced: 12 Apr 2026
https://github.com/khushi130404/echobot
EchoBot is a chatbot built using TensorFlow to classify user inputs into predefined intents and respond accordingly. It uses a neural network trained with the data in intents.json.
keras nlp nltk numpy pickle tensorflow
Last synced: 12 Apr 2026
https://github.com/arnauog/ironhack_data_analytics
Weekly labs to practice everything taught in class during the Data Analytics bootcamp of Ironhack in Barcelona of Sept 2024 - March 2025.
machine-learning mongodb mysql numpy pandas python seaborn tableau webscraping
Last synced: 11 Apr 2026
https://github.com/naveen88112/final_education
Student Performance Prediction This project examines the student performance data, pre-processes the features, and implements machine learning methods (Random Forest) for the forecasting of final grades. The data is subjected to exploratory data analysis (EDA) and feature engineering prior to model training and assessment.
data-preprocessing exploratory-data-analysis machine-learning model-evaluation numpy pandas python
Last synced: 11 Apr 2026
https://github.com/georgehanymilad/online-payments-fraud-detection
Machine Learning Project
anaconda class classification-algorithm data-science dataanalysis kaggle machine-learning machine-learning-algorithms matpolotlib numpy pandas python python3 seaborn
Last synced: 12 Apr 2026
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.
aws evm fraud fraud-detection-using-machine-learning kaggle kinesis machine-learning math numpy pandas python random web3
Last synced: 12 Apr 2026
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/navindafernando/face-recognition
Training a SVM Pipeline for Face Recognition :anger:
classification haar-cascade-classifier joblib machine-learning numpy opencv pipeline principal-component-analysis scikit-learn ski support-vector-machines
Last synced: 05 May 2026
https://github.com/rahul-shrivastav/digit-recognition-nn
Web application that recognizes handwritten digits using a deep learning model
deep-learning flask numpy python reactjs tensorflow
Last synced: 11 Apr 2026
https://github.com/anibalalpizar/python-machine-learning-example
This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.
machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/manojkp08/student-performance-analysis
The Student Performance Analyzer is your go-to solution for understanding and improving student performance. By blending the power of machine learning with interactive visualizations, this tool provides educators and learners with personalized insights into learning styles, performance gaps, and actionable improvements.
machine-learning numpy pandas python requests scikit-learn streamlit
Last synced: 12 Apr 2026
