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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/mpoojithavigneswari/bangalore-house-price-prediction
This project involves creating a website that predicts Bangalore house prices with 94.65% accuracy using a machine learning algorithm.
data-analysis data-science flask-server machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/visu512/spotify-music-recommender
Built Spotify Music recommendation system using Machine learning
csv-files dataset jupyter-notebook kmeans-clustering machine-learning matplotlib numpy panda python scikit-learn spotify-api stream vscode
Last synced: 12 Apr 2026
https://github.com/22p31a0512/sentimental-analysis
Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.
feature-engineering machine-learning natural-language-processing numpy pandas python supervised-learning text-classification text-processing tokenization
Last synced: 12 Apr 2026
https://github.com/anuppm9917/super-store-sales-analysis-power-bi-project
My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement.
data data-analysis data-visualization datacleansing excel exploratory-data-analysis jupyter-notebook numpy pandas plotly powerbi python3
Last synced: 10 Apr 2026
https://github.com/ewakamoto/03.-python-projects
This is my collection of Python Projects
jupyter jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/src3453/fluentscope
An oscilloscope that makes listening waveform more fun
audio-visualizer correlation mic-audio numpy oscilloscope pyaudio pygame pygame-application python python3 realtime trigger
Last synced: 30 Apr 2026
https://github.com/lorenzorottigni/ml-ecommerce
Machine Learning python bootcamp: linear regression on ecommerce dataset
ipynb linear-regression machine-learning numpy pandas python scikit-learn seaborn
Last synced: 07 Apr 2026
https://github.com/akashkg03/feynn-labs-internship
This repository contains the projects I did as a Data Science intern with Feynn Labs.
data-science machine-learning matplotlib numpy pandas python scipy seaborn
Last synced: 07 Jan 2026
https://github.com/linggarm/fruit-images-search-engine
A Content Based Image Retrieval (CBIR) application of Information Retrieval with fruit images
artificial-intelligence cbir computer-vision content-based-image-retrieval css flask html information-retrieval javascript machine-learning numpy pillow python search-engine tensorflow
Last synced: 12 Apr 2026
https://github.com/gnikit/fileio
A template allowing to read multiple columns of tab or space delimited files. Similar functionality to numpy.loadtxt()
Last synced: 04 May 2026
https://github.com/shivsharcode/diabetes-prediction-new
DIABETES PREDICTION MODEL
flask jupyter-notebook logistic-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/programmersteve/price_regression_ml
jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 12 Apr 2026
https://github.com/manikantasanjay/data_analysis_using_python_libraries_series
This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.
exploratory-data-analysis kaggle-datasets machine-learning matplotlib numpy opendatasets pandas python visualization
Last synced: 12 Apr 2026
https://github.com/alyssonmach/machine-learning-com-python
Aplicações de Machine Learning usando a linguagem de programação Python.
ia keras-tensorflow machine-learning matplotlib numpy pandas programming python scikit-learn scipy
Last synced: 10 Apr 2026
https://github.com/ahmedabdalkreem/animals_classification
This project is dependent to make classification between faces of cats, dogs and wild_animals and use multiple model such as CNN and pretrained model like ResNet and MobileNet and show the result of all model in the image using heatmap to know what is the part that model take decision when see it.
classification cnn heatmap matplotlib mobilenet numpy opencv pandas pretrained-models python restnet
Last synced: 12 Apr 2026
https://github.com/abideen-olawuwo/converted-logistic-regression
Converted Prediction Model
logistic-regression numpy pandas sklearn
Last synced: 10 Apr 2026
https://github.com/pramodyasahan/car-safe-predictor
This repository contains a machine learning project that applies the K-Nearest Neighbors (KNN) classification algorithm to predict car safety ratings. The project uses a dataset of cars, with features such as buying price, maintenance cost, number of doors, persons, lug boot size, and safety.
classification k-nearest-neighbours machine-learning numpy pandas scikit-learn
Last synced: 10 Apr 2026
https://github.com/paulo-santos-ds/previsao_total_corridas_taxi
Foi desenvolvido um modelo preditivo específico para atrair mais motoristas durante o horário de pico. Prever a quantidade de pedidos de táxi para a próxima hora.
matplotlib-pyplot numpy pandas python seaborn sklearn statsmodels
Last synced: 10 Apr 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/lfgodoi/rpm-deep-estimator
A deep learning-based RPM estimator based on spectral features extracted from vibration signals of rotating machines.
condition-monitoring deep-learning docker flask neural-networks numpy python scipy signal-processing spectral-analysis
Last synced: 26 Feb 2025
https://github.com/ieCecchetti/Python_ML_DL_examples
A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme
bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi
Last synced: 10 Mar 2025
https://github.com/abideen-olawuwo/logistic-regression-house-prediction
Using logistic Regression Model to predict house price
logistic-regression matplotlib numpy pandas python seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/linggarm/priority-task-selection-using-evolutionary-programming
A web app that utilizes Evolutionary Programming to determine and prioritize tasks for efficient scheduling.
artificial-intelligence css evolutionary-algorithms evolutionary-programming flask html javascript machine-learning numpy python
Last synced: 12 Apr 2026
https://github.com/gaball1/alzheimer-prediction-ai
Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .
ai data-mining gradient-boosting jupyter-notebook logistic-regression logistic-regression-algorithm machine-learning matplotlib-python models numpy pandas python random-forest-classifier streamlit xgboost-classifier
Last synced: 11 Apr 2026
https://github.com/ortanav2/parabola-visualizer
Simple parabola-visualizer made with matplot+numpy [Formula: a(x+d)²+e]
mathematics matplotlib numpy parabola visualization
Last synced: 04 May 2026
https://github.com/sumanth44a/predicting-customer-churn-in-telecommunication
Predicting-Customer-Churn-In-Telecommunication
decision-trees matplotlib numpy pandas python random-forest
Last synced: 10 Apr 2026
https://github.com/ravi-aratchige/spacefarer
What type of astronaut would you be?
astronaut astronauts flask jupyter jupyter-notebook machine-learning numpy pandas python scikit-learn space tailwind tailwindcss
Last synced: 10 Apr 2026
https://github.com/abideen-olawuwo/airline-twitter-sentiment
A sentimental review on airline
numpy pandas python random-forest-classifier seaborn sklearn svm-classifier
Last synced: 10 Apr 2026
https://github.com/analyticalmonk/neuralnetwork_fromscratch
neural-network neural-network-example numpy python python-3
Last synced: 12 Apr 2026
https://github.com/mairagalvao/steak_risk_data
A data analysis based on correlations and comparisons among the samples.
database matplotlib numpy pandas python3 sql
Last synced: 12 Apr 2026
https://github.com/shreeparab1890/duplicate-question-predictor
The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.
bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit
Last synced: 10 Apr 2026
https://github.com/miguelszzz/simple_mnist
Minimalist MNIST implementation with two hidden layers written in C
ddpm densenet-tensorflow generative-model image-processing keras machine-learning neural-network numpy scratch tensorflow-mnist-train transformer triplet-loss vit vit-mnist
Last synced: 25 Mar 2025
https://github.com/haydencordeiro/terafeed
Terafeed - Addressing Zero Hunger in Africa (Sustainability Goal SDG 2)
javscript numpy pandas powerbi python scikit-learn tableau vuejs
Last synced: 08 Apr 2026
https://github.com/2kabhishek/ml-primer
Basic Machine Learning & Data Science in Python/ 📈🐍
jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/babagata/praktikum-4-data-analysis
Data analysis for course "Physics laboratory IV"
Last synced: 28 Apr 2026
https://github.com/shreyazh/respire
To deal with Respiratory Challenges
machine-learning matplotlib numpy pandas pillow python scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/sudarshanc00/mnist-digit-classification
This project uses a machine learning model to classify handwritten digits (0-9) from the MNIST dataset, a popular collection of grayscale images for image classification benchmarking. It includes a Jupyter Notebook to train a neural network, enabling accurate recognition and classification of digits.
jupyter-notebook matplotlib numpy python tensorflow
Last synced: 12 Apr 2026
https://github.com/sujal2004/stock-analysis-project
Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
jupyter-notebook matplotlib numpy pandas python stock-market
Last synced: 10 Apr 2026
https://github.com/ahmedabdalkreem/skin-cancer
In this project we work to extraction features from Images using CNN and build the Neural Network to arrive the patient have skin-cancer Malignant or Benign.
cnn deep-learning matplotlib neural-network numpy pandas python3 sklearn-library
Last synced: 12 Apr 2026
https://github.com/tralahm/datascience
Getting started with Data science Numerical Analysis and Scientific Computing
hmmlearn ipynb jupyterlab keras numpy pandas python3 scipy tensorflow
Last synced: 10 Apr 2026
https://github.com/hasnainroopawalla/sudoku-generator
This algorithm can generate and solve a random Sudoku Puzzle Board using Backtracking
backtracking numpy python sudoku-generator
Last synced: 16 May 2026
https://github.com/ankitmishralive/machinelearning
Continuously deep diving in understanding & advancing my expertise in Machine Learning through ongoing education and hands on experience with practical learning.
artificial-intelligence data-analysis data-cleaning data-gathering machine-learning machinel-learning-algorithms matplotlib numpy pandas python seaborn
Last synced: 22 Mar 2025
https://github.com/jalijuhola/neurcomputing-course
Some of tasks from neurocomputing course
Last synced: 04 May 2026
https://github.com/dmdlgg/calculadora_de_indicadores_estatisticos
Uma calculadora que retorna a média, mediana, desvio padrão, quartis e variância dos dados inseridos pelo usuário. Tecnologias utilizadas: Flet, Python e Numpy. (Ainda em andamento)
Last synced: 04 May 2026
https://github.com/damisparks/become_data_analyst
Are you new to Data Analysis ? Here you will find simple notebook that will help through your journey. These are personal projects I work on and still working.
data data-analysis data-visualization matplotlib numpy pandas-tutorial
Last synced: 04 May 2026
https://github.com/ola-kaznowska/median-statistic
A program that calculates the median statistic. Program written in Python 3.13.1 with NumPy library during Machine Learning course.
mathematics numpy python python3
Last synced: 04 May 2026
https://github.com/llwusill/firepredictioncnn
CNN kullanarak Orman Yangını Tahmin/Tespit Sistemi
matplotlib numpy opencv-python pandas sckiit-learn seaborn tensorflow
Last synced: 12 Apr 2026
https://github.com/nirmit27/credit-risk-modeling
Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.
credit-risk credit-risk-analysis machine-learning ml ml-model ml-models modelling numpy pandas python python3 sckiit-learn
Last synced: 29 Apr 2026
https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis
This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R
classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow
Last synced: 02 Feb 2026
https://github.com/jhonatanthiago/projeto_analise_de_dados_com_python
A empresa contratou você para analisar dados de mais de 800 mil clientes, a maioria dos quais são inativos, ou seja, já cancelaram o serviço. O objetivo é entender os principais motivos desses cancelamentos e identificar as ações mais eficazes para reduzir esse número.
jupyter-notebook nbformat numpy openxyl pandas plotly python
Last synced: 10 Apr 2026
https://github.com/yessasvini23/pytorch-bootcamp-on-ai-by-opencv
This OpenCV course is highly recommended for individuals seeking an introductory experience in Computer Vision and AI, and who wish to establish a strong foundation for their career development.
cnn-classification computer-vision cv2-library deeplearning-ai numpy opencv pytorch rnn-tensorflow
Last synced: 13 Apr 2026
https://github.com/nilusche/feed_forward_network_py
Implementation of a neural network in python which can predict handwritten numbers from the MNIST dataset.
colab-notebook feed-forward-neural-networks neural-network numpy python
Last synced: 01 May 2026
https://github.com/mchenryspagg/investigate_a_dataset
This is a data analysis project that demonstrates the student's ability to use python data analysis libraries such as pandas, numpy and pyplot in matplotlib to investigate a dataset and answer specific questions from the dataset, thus demonstrating skills in data cleaning, data wrangling, and exploratory data analysis.
data-analysis datetime descriptive-analysis descriptive-statistics exploratory-data-analysis numpy pandas pyplot python visualization
Last synced: 04 May 2026
https://github.com/yeonjaee/statistics
통계기초 with using python libs
matplotlib numpy pandas statistics
Last synced: 06 May 2026
https://github.com/elifftosunn/data-labeling
Bu araç veri kazıma aşamasından sonra verilerin istenilen kategoriye göre etiketlenmesi ve kullanılmayacak olan verilerin database'ten silinmesi ile makine öğrenmesi modellerini kullanmak için etiketleme adımınını otomatikleştirmek amaçlı yapılmıştır.
base64 kaleido numpy os pandas plotly postgresql psycopg2 psycopg2-binary time
Last synced: 12 Apr 2026
https://github.com/zenithclown/agine
Library for finding Nearest Neighbor or to find if two points on Earth have a Direct Line of Sight.
bearing bearing-calculations distance-calculation euclidean-distance geometry haversine manhattan-distance nearest-neighbor-search numpy pandas rasterio shapely
Last synced: 28 Jan 2026
https://github.com/chandkund/iris-classification
Iris Classification project using machine learning to classify iris flowers into Setosa, Versicolour, and Virginica species. Includes data exploration, model training with SVM, Logistic Regression, and Decision Tree, and performance evaluation. Contributions welcome! Python, Pandas, Scikit-learn, Seaborn, Matplotlib.
machine-learning matplotlib-pyplot numpy pandas python sklearn
Last synced: 21 Jan 2026
https://github.com/mays-m/deeplearning
In deep learning, with the help of data and training, neural networks are created and trained, which create better predictions than before with the help of neural networks.
anaconda artificial-intelligence conda-environment matplotlib neural-networks numpy pandas python3 tensorflow tensorflow-gpu transortfow-
Last synced: 11 Apr 2026
https://github.com/sandyherho/buku_metnum_python
Repositori ini memuat kode dan gambar yang digunakan pada buku "Pengantar Metode Numerik Terapan Menggunakan Python".
belajar-pemrograman belajar-python indonesia indonesian-language matematika-terapan matplotlib metode-numerik numerical-methods numpy python scipy
Last synced: 16 Jan 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/skmirajulislam/yolov3-object-tracker
OBJECT DETC YOLO DEEP LEARNING MODEL
convolutional-neural-networks cv2 numpy python3 yolov3
Last synced: 18 Apr 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
Last synced: 13 Apr 2026
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
Last synced: 13 Apr 2026
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/bachboy0/montecarlo
Python-based Monte Carlo simulations for statistical analysis and modeling.
monte-carlo-methods numpy python
Last synced: 21 Apr 2026
https://github.com/ayhem18/tinyad
A simple Python library to better understand automatic Differentiation
automatic-differentiation mathematical-programming numpy python3
Last synced: 29 Apr 2026
https://github.com/jim-by/tweet-sentiment-analysis
Sentiment analysis of tweets using TextBlob for labeling and RandomForest for classification.
nltk nltk-tokenizer numpy pandas python random-forest-classifier sklearn textblob-sentiment-analysis
Last synced: 13 Apr 2026
https://github.com/hemanthsaikumarbethapudi/last-mile_delivery_optimization.py-
This project implements an AI-powered last-mile delivery optimization system using Python. It leverages graph-based route optimization, demand prediction, and cost analysis to improve delivery efficiency in urban areas.
Last synced: 27 Aug 2025
https://github.com/ellennewerkla/apriori-analise_cesta_de_mercado
Análise de Cesta de Mercado (Market Basket Analysis) utilizando o algoritmo Apriori para identificar regras de associação entre produtos em um conjunto de transações de supermercado.
apriori-algorithm jupyternotebook marketbasketanalysis mathplotlib mba numpy pandas python3
Last synced: 13 Apr 2026
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
Last synced: 13 Apr 2026
https://github.com/jeniljani-4444/end-to-end-car-price-prediction-model
Predict car prices effortlessly using this machine learning model. Built with Python and Scikit-learn it analyzes features like mileage age brand and more to estimate accurate prices. Perfect for buyers sellers and dealerships.
machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit
Last synced: 10 Apr 2026
https://github.com/abhivur/graduate-income-forecaster
Contributors: Abdussalam Raheem, Chiara Su, and Joseph Botros
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 04 May 2026
https://github.com/vvipjain/iphone-sales-analysis
Iphone Sales Analysis
jupyter-notebook numpy numpy-arrays numpy-library pandas pandas-dataframe pandas-library pandas-python plotly plotly-express plotly-python python python3
Last synced: 13 Apr 2026
https://github.com/arsalan692/python-telusko-playlist
A collection of beginner Python scripts and practice exercises from my early learning days, inspired by Telusko and other resources.
basic-programming bs4 matplotlib numpy oop pandas python requests selenium tkinter
Last synced: 04 May 2026
https://github.com/allanotieno254/pinecone-index-creation-vector-store-database-
This project demonstrates how to create an index in Pinecone, a vector database optimized for similarity search and machine learning applications. The notebook covers setting up a Pinecone client, creating an index, and managing vector data efficiently.
index jupyter-notebook numpy pinecone python
Last synced: 13 Apr 2026
https://github.com/aymen016/cosmic-mystery-challenge-2912
"Explore the depths of space and unravel cosmic mysteries in the year 2912 with our Cosmic Mystery Challenge repository. Dive into data science adventures as you predict the fate of passengers aboard the Spaceship Titanic after a collision with a spacetime anomaly. Join us in reshaping history and saving lives across the universe!"
kaggle matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning seaborn
Last synced: 10 Apr 2026
https://github.com/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/veb-101/deeplearning-specialization-coursera
My Solutions to the course Deeplearning.ai
deep-learning jupyter-notebook keras matplotlib numpy pandas python3 tensorflow
Last synced: 13 Apr 2026
https://github.com/marknature/machine-learning-intern
Machine Learning tasks involving the Titanic Dataset and Breast Cancer Wisconsin (Diagnostic) dataset
data-analysis github jupiter-notebook machine-learning matplotlib numpy pandas python scikit-learn sklearn
Last synced: 10 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
Last synced: 13 Apr 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/abhijais4896/belarus-car-price-prediction
Belarus-car-price-prediction
data-analysis datacleaning macine-learning numpy pandas python
Last synced: 04 May 2026
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
Last synced: 13 Apr 2026
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
Last synced: 13 Apr 2026
https://github.com/kunalshelke90/wine-quality-testing
This project is about creating a machine learning algorithm that can predict the quality of wine based on the given dataset. Different machine learning algorithms such as logistic regression, decision tree and random forest are used in this project.
eda feature-engineering flask machine-learning numpy pandas python
Last synced: 10 Apr 2026
https://github.com/waghraj1699/sms-spam-detection
A web app to check wheather the messages are spam or not.
classification-algorithm data-preprocessing data-visualization machine-learning nlp numpy pandas
Last synced: 18 Apr 2026
https://github.com/dhaase-de/dito
Yet another toolbox for the daily work with OpenCV under Python.
Last synced: 22 Aug 2025
https://github.com/ksprugevics/magic-square
Some simple algorithm implementations for solving (ordinary) magic squares using NumPy
algorithms mathematics numpy python
Last synced: 21 Apr 2026
https://github.com/cycle-sync-ai/student-score-analysis
A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.
clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student
Last synced: 06 May 2026
https://github.com/giacomolat/classification-of-exotic-fruits
The goal of this project is to develop an automatic classification system for exotic fruits based on numerical features using the K-nearest neighbors (K-NN) algorithm
anomalies-detection auc-roc-curve confusion-matrix gridsearchcv hold-out-cross-validation knn knn-classification machine-learning matplotlib matplotlib-pyplot multiclass-classification normalization-techniques numpy pandas python scikit-learn seaborn stratified-cross-validation
Last synced: 10 Apr 2026
https://github.com/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
Last synced: 13 Apr 2026
https://github.com/rishikesh-jadhav/machine-learning-practice-projects
This repository contains my end to end ML practice projects as a part of the ML zero to mastery course by Daniel Bourke and Andrei Neagoie
classification data-science data-visualization dataanalysis deep-learning hadoop jupyter-notebooks machine-learning neural-network numpy pandas pyspark python pytorch regression scikit-learn supervised-learning tensorflow time-series transfer-learning
Last synced: 10 Apr 2026
https://github.com/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.
analyzing-visualization data-cleaning data-visualization numpy pandas powerbi powerpoint-presentations
Last synced: 09 May 2026