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/yareva/linear-regression-predictor
Linear Regression Predictor Model
matplotlib numpy pandas python sckit-learn
Last synced: 04 May 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/andydevs/optipy
Optimization algorithms written in python
numpy optimization optimization-algorithms
Last synced: 13 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/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/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/cheese23456/ai-based_stock_analysis_and_portfolio_optimisation
📈 Analyze stocks and optimize portfolios with AI-driven insights, technical indicators, and clear investment signals for informed decision-making.
ai asset-allocation financial-analysis huggingface-spaces numpy pandas portfolio-optimisation python scipy-optimize streamlit
Last synced: 04 May 2026
https://github.com/jonad/titanic_exploratory_analysis
Exploratory Data Analysis on Titanic Dataset
jupyter-notebook numpy pandas python3
Last synced: 04 May 2026
https://github.com/mariiasam/stroke-prediction
A model for predicting the risk of stroke in a patient
balanced-random-forest-classifier decission-tree-classifier gradient-boosting imbalanced-learning joblib logistic-regression matplotlib numpy random-forest-classifier scikit-learn seaborn streamlit
Last synced: 04 May 2026
https://github.com/sugha22/data_analysis
Actively upskilling in data science with hands-on learning during a Green Internship focused on environmental sustainability. Used Pandas and NumPy for data preprocessing and cleaning, and created visual dashboards in Excel and Tableau. Gained experience in interpreting sustainability metrics and communicating insights through data storytelling and
data-cleaning data-collection data-storytelling data-transformation excel numpy pandas preprocessing sustainability-metrics tableau-dashboards visualization
Last synced: 04 May 2026
https://github.com/silbena/gibbssampler
Gibbs Sampler for a simple mortgage model.
gibbs-sampler gibbs-sampling numpy python
Last synced: 04 May 2026
https://github.com/charlenry/python_math_machine_learning
Mes notebooks de travaux pratiques sur Python, NumPy, SimPy, SciPy, Matplotlib, Plotly, Seaborn et les Mathématiques pour le Machine Learning
algebra derivatives functions jupyter linear matplotlib matrix numpy plotly probabilities pyplot python pytorch scipy seaborn sklearn statistics sympy tensorflow time
Last synced: 25 Jun 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/prathicashettym/agriculturallanddetection
6th Semester SDG EL
flask keras matplotlib numpy pandas python seaborn streamlit tensorflow
Last synced: 13 May 2026
https://github.com/manuethomas/credit-default-risk-analysis-eda
This repository contains the detailed EDA analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices
bivariate-analysis correlation-analysis data-preprocessing exploratory-data-analysis exploratory-data-visualizations matplotlib numpy pandas seaborn univariate-analysis
Last synced: 04 May 2026
https://github.com/katalekoweb/full-python-course-for-ai
Full python curse for AI
matplotlib numpy pandas python3 requests
Last synced: 04 May 2026
https://github.com/dyrits/parite
OPENCLASSROOMS | PERFECTIONNEZ-VOUS EN PYTHON
matplotlib numpy pandas python
Last synced: 04 May 2026
https://github.com/alphan26/optimal-logistics-locator
This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India
numpy pandas python sckit-learn
Last synced: 04 May 2026
https://github.com/subhadipsinha722133/credit-card-fraud-dection
Web application for detecting fraudulent credit card transactions using machine learning
data-visualization fraud-detection machine-learning matplotlib numpy pandas seborn sklearn streamlit
Last synced: 10 Apr 2026
https://github.com/dmkk01/mlp-python
Implementation of a multilayer perceptron using Pytorch and Numpy libraries
Last synced: 05 May 2026
https://github.com/lorenzorottigni/ml-missing-values
Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy
column-transformer machine-learning missing-values numpy simple-imputer
Last synced: 05 May 2026
https://github.com/thekartikeyamishra/object-detection-for-retailer
The AI Customer Feedback Summarizer is a Python-based tool that uses extractive summarization techniques to provide concise summaries of customer feedback.
ai computer-vision cv2 numpy pillow python torch torchvision yolov5
Last synced: 05 May 2026
https://github.com/tomaslopera/modelos_simulacion
jupyter-notebook matplotlib-pyplot modeling-and-simulation numpy pandas scipy seaborn
Last synced: 05 May 2026
https://github.com/csgn/numpy-tr-docs
docs documentation np numpy numpy-tr-docs tr-docs turkish
Last synced: 05 May 2026
https://github.com/chandrasankarsaha-code/customer-churn-prediction
A machine learning project to predict customer churn.
churn-prediction classfication customer machine-learning numpy pandas
Last synced: 05 May 2026
https://github.com/badranalyst/residential-unit-prices-data-analysis-application
Python-based analysis of residential unit prices, focusing on data cleaning, visualization, and exploratory data analysis (EDA). Key features include price distribution, and correlation analysis between factors like size, location, and pricing.
data-analysis data-visualization dataset matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/harsha-yuvaraj/data-compression-and-decompression-tool
A specialized lossless file compression and decompression tool designed mainly for plain text, including programming files.
data-structures huffman-compression-algorithm lossless-compression-algorithm numpy python tkinter
Last synced: 15 Apr 2026
https://github.com/lruizap/tomography-with-algebraic-topology
This project aims to analyze images using algebraic topology. The goal is to extract structural information from images through mathematical concepts such as connected components and loops.
gudhi jupyter-notebook matplotlib numpy opencv python tomography
Last synced: 05 May 2026
https://github.com/lohiyah/dataset_summariser
A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).
matplotlib numpy pandas seaborn
Last synced: 05 May 2026
https://github.com/yenk/human-genomic-meta-analysis
Meta analysis of genomic studies to better understand if telomeres in the human genome are impacted by age from wild animals data.
linear-regression machine-learning matplotlib numpy scipy
Last synced: 05 May 2026
https://github.com/mohitsai/boston-housing-data-analysis
Data Analysis Project for the City of Boston Government for insights into effect of property rennovations and remodelling on housing availability in the city
data-analysis data-science matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/maroshmka/np-mlp-clf
Raw implementation of mlp classifier in python using numpy.
classification example-code learning machine-learning multilayer-perceptron neural-network numpy
Last synced: 14 May 2026
https://github.com/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
matplotlib numpy pandas-dataframe python
Last synced: 05 May 2026
https://github.com/pyladiesams/python-oss-sprints-mar2024
Sprints to contribute to the most popular data and AI Python OSS libraries
conda dask geopandas jupyter matplotlib numpy pandas pymc sklearn
Last synced: 05 May 2026
https://github.com/pramodyasahan/cifar-10-object-recognition
This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.
convolutional-neural-networks numpy python tensorflow
Last synced: 05 May 2026
https://github.com/rohra-mehak/sciencesync
System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis
agglomerative-clustering clustering crossref-api customtkinter google-api google-scholar graph-api machine-learning numpy pandas python3 scientific-article-analysis scikit-learn sqlite3
Last synced: 05 May 2026
https://github.com/jonad/quora_data_analysis
Exploratory data analysis and feature engineering on Quora dataset.
exploratory-data-analysis feature-extraction numpy pandas python3 quora-dataset
Last synced: 05 May 2026
https://github.com/sahaninilesh/future_ds_01_social-media-sentiments-analysis
The Social Media Sentiments Analysis Dataset captures a vibrant tapestry of emotions, trends, and interactions across various social media platforms. This dataset provides a snapshot of user-generated content, encompassing text, timestamps, hashtags, countries, likes, and retweets. Each entry unveils unique stories—moments of surprise, excitement,
jupyter matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/vi-ssh-al/diamond-price-prediction
matplotlib ml numpy panda seaborn
Last synced: 05 May 2026
https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization
A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.
dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python
Last synced: 05 May 2026
https://github.com/debangshu9183/spam-mail-detection
To detect spam mail
logistic-regression machine-learning numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/hms75/movie_rating_analysis
A movie rating analysis which identifies trends amongst a dataset of 5000 movies.
data-analysis data-visualization matplotlib-pyplot numpy pandas python
Last synced: 05 May 2026
https://github.com/nxhawk/mln
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library
Last synced: 06 May 2026
https://github.com/vikkiezdev/ai-global-index-analysis
This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.
cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis
Last synced: 06 May 2026
https://github.com/facusm/prediccion-precio-de-propiedades
jupyter-notebook numpy pandas python sickit-learn
Last synced: 06 May 2026
https://github.com/shahriarha/programming
Python problem solving, HR-30 days of code, DSA, NumPy
algorithms-and-data-structures cpp numpy programming python
Last synced: 06 May 2026
https://github.com/ianjure/simple-neural-network
Implementing a simple neural network using only Numpy.
deep-learning neural-network notebook numpy scratch-implementation
Last synced: 06 May 2026
https://github.com/rishabhmathur06/fetching-jobs-data-using-beautifulsoup
beautifulsoup numpy pandas python webscraping
Last synced: 06 May 2026
https://github.com/frolov-andrey2405/mandelbrot-s-fractal
Mandelbrot's Fractal Constructions
Last synced: 06 May 2026
https://github.com/yashpaneliya/bank-loan-default-analysis
Analyze and understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.
data-analysis loan-default-analysis matplotlib numpy pandas python
Last synced: 06 May 2026
https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda
Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.
data-analysis data-science data-visualization eda matplolib numpy pandas python
Last synced: 06 May 2026
https://github.com/andrewsy1004/logistic-regression-spam-classifier
This project implements a spam email classifier using Logistic Regression.
Last synced: 06 May 2026
https://github.com/abhinav330/customer-behavior-analysis-linear-regression
This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.
data-analysis data-science data-visualization eda exploratory-data-analysis jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms machinelearning-python numpy pandas python regression-analysis
Last synced: 06 May 2026
https://github.com/mikma03/datascience_python_datacamp
DataScience with Python. Code and examples. Python libraries, including pandas, NumPy, Matplotlib, and many more.
data-analysis data-science datacamp datascience numpy pandas python
Last synced: 06 May 2026
https://github.com/chopikus/raytracing-bench
Benchmarking ray tracers in Python, Java, Numpy, Cupy, Pypy
cupy java numpy pypy python raytracing
Last synced: 06 May 2026
https://github.com/dm-zhuk/goit-math-python-tests
Mathematics
matplotlib-python numpy pandas scipy
Last synced: 06 May 2026
https://github.com/patilsukanya/assignment-05.-multiple-linear-regression-q2
Used libraries and functions as follows:
collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score mlr multiple-linear-regression numpy ols-regression pairplot python regress-exog residual-analysis rsquare-values smf statsmodels vif
Last synced: 06 May 2026
https://github.com/paulo-santos-ds/llm
Um aplicativo web simples de tradução que converte texto do português para o inglês, construído com Streamlit e Google Translator
deeptranslate googletranslate numpy pyngrok python streamlit
Last synced: 06 May 2026
https://github.com/elmezianech/classifyreviews_nlp
Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.
accuracy-score ai countvectorizer cross-validation joblib logistic-regression machine-learning ml multinomialnb naive-bayes-classifier nltk-library numpy pandas randomforestclassifier svc
Last synced: 06 May 2026
https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression
Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression
linear-regression machine-learning numpy pandas python regression regression-analysis statistics
Last synced: 06 May 2026
https://github.com/xanonymous-github/multimediax
The collections of class projects in Multimedia Technologies and Applications class, NTUT.
deep-learning machine-learning numpy opencv-python
Last synced: 06 May 2026
https://github.com/prarthana-singh/car_price_predector
machine-learning numpy pandas python sklearn-library
Last synced: 09 Apr 2026
https://github.com/dhruwsunita/iphones-eda-analysis
EDA analysis on apple products.
data-analysis data-visualization eda matplotlib numpy pandas plotly python seaborn
Last synced: 06 May 2026
https://github.com/redinfinitypro/python-finance
Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.
datetime matplotlib numpy pandas random sklearn yfinance
Last synced: 06 May 2026
https://github.com/neelimabonangi/defect-detection-hot-rolling
Defect Detection in Hot Rolling Using Machine Learning
classification data-analysis data-science defect-detection jupyter-notebook machine-learning manufacturing numpy pandas predictive-analytics python random-forest scikit-learn
Last synced: 12 Jun 2026
https://github.com/jcbritobr/iris-python
Simple data analysis using iris dataset, pandas, numpy, matplotlib and seaborn.
data-science matplotlib numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/abdulrahmanaymann/data-storage-and-information-retrieval
This is a Python project that performs tokenization, stop word removal, positional indexing, phrase query searching, term frequency-inverse document frequency (TF-IDF) calculation, cosine similarity computation, and document ranking.
cosine-similarity information-retrieval nltk numpy pandas postional-index python ranking stop-word-removal tf-idf tokenization
Last synced: 06 May 2026
https://github.com/voorhs/ml-practice
ML algorithms implementation
aimasters lomonosov-msu machine-learning numpy python
Last synced: 07 May 2026
https://github.com/thearnavrustagi/cepstral_analysis
audio feature extraction
cepstral-analysis feature-extraction numpy python3 scipy
Last synced: 07 May 2026
https://github.com/khushi130404/gradient_realm
Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.
batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent
Last synced: 14 Jun 2026
https://github.com/ashwani-199/web-scraping2023
Python Web-Scraping 2023
beautifulsoup4 django-framework numpy pandas python rest-api
Last synced: 07 May 2026
https://github.com/aicorsair/python-case-study-ab-testing-for-lunartech-homepage-cta-button
This repository contains a detailed case study on an A/B test of LunarTech's homepage CTA button, using proxy data structured similarly to the company's real data.
ab-testing click-through-rate confidence-intervals data-analysis data-analytics data-exploration data-science data-visualization hypothesis-testing matplotlib normal-distribution numpy pandas practical-significance python statistical-analysis statistical-significance z-critical z-statistic z-test
Last synced: 07 May 2026
https://github.com/ai-ahmed/bda-and-ds
Dual Course: EMC2 Data Scientist & Big Data Analytics & IBM Professional Data Science Course
analytics big-data data-science jupyter-notebook jupyterlab linear-algebra mathematics matplotlib ml numpy pandas probability seaborn sklearn statistics
Last synced: 07 May 2026
https://github.com/jonad/chicago_crime_analysis
Exploratory data analysis on Chicago Crime dataset.
jupyter-notebook matplotlib numpy pandas python3
Last synced: 07 May 2026
https://github.com/s-hirata0831/graphicsprocessing
Pythonによる画像処理基礎実験(with OpenCV)
Last synced: 07 May 2026
https://github.com/helosantosdesousa/analise-dados-titanic
Análise de dados com o dataset 'Titanic - Machine Learning from disaster'
analise-de-dados analise-exploratoria bootcamp bootcamp-project data-analysis data-girls data-science matplotlib numpy pandas python
Last synced: 07 May 2026
https://github.com/pointer2alvee/machine-learning-algorithms-scratch
Core Machine Learning concepts , algorithms & maths implemented completely from scratch using Python & numpy only.
machine-learning-algorithms numpy pandas probabilistic-machine-learning python statistical-models
Last synced: 07 May 2026
https://github.com/salvatoreamaddio/powerbi
This project combines both Python and PowerBI technologies. It cleans a dataset and imports it into a PowerBI file.
numpy pandas pandas-python powerbi python
Last synced: 07 May 2026
https://github.com/mnitin-reddy/coffee-shop-sales-analytics
This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.
datasceince datavisualization exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 07 May 2026
https://github.com/ebadshabbir/bluff-detection-model-polynomial_regression-
This project predicts employee salaries based on position levels using Linear and Polynomial Regression models. It trains models with degrees 2, 3, and 4 on a dataset of job titles, position levels, and salaries, and predicts the salary for a position level of 6.5. The results are visualized to compare model performance.
jupyter-notebook linear-regression machine-learning matplotlib-pyplot multiple-linear-regression numpy polynomial-regression python
Last synced: 07 May 2026
https://github.com/imskully/python-cv-fault-detection
Fault detection algorithm that determines whether or not a fault exists within a ring using raw computer vision.
ccl computer-vision matplotlib morphology numpy opencv python
Last synced: 07 May 2026
https://github.com/ifimust/room_generator
Room generator service for 2D game levels
flask google-app-engine microservice numpy procedural-generation python
Last synced: 07 May 2026
https://github.com/pesala-x/data-science-ai-assessments
this is inClass practice application for Python-for-Data-Science-AI
data-types functions jupyter-notebook loops machine-learning numpy pandas-python python python3 seaborn
Last synced: 07 May 2026
https://github.com/kavayk29/audio-classification-using-python-library
This is a audio classification Project using python Libraries such as librosa to make the visual representation of the audio files, and using numpy to make array of data for manipulation and then extraction the features for classification to train and test of CNN model.
librosa matplotlib-pyplot mfcc-features numpy pandas sklearn-library
Last synced: 07 May 2026
https://github.com/gsaini/streamlit-ui-getting-started
Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!
codecov github-actions numpy pandas python streamlit unittest
Last synced: 14 Jun 2026
https://github.com/christabelsakyi/sentiment_analysis
This project involves analyzing customer reviews to classify them as positive or negative using Logistic Regression. The workflow includes text preprocessing, feature extraction, training a model, making predictions, and evaluating its performance. Dataset
imblearn machine-learning nltk numpy python sklearn
Last synced: 07 May 2026
https://github.com/aimin-nur/dataanalyst-cohortanalysis
Sebuah project Data Analayst untuk mengetahui bagaimana pola pembelian pelanggan dalam periode waktu tertentu (Cohort Analysis)..
cohort-analysis numpy pandas pytz
Last synced: 07 May 2026
https://github.com/bettenoch/yolo_real_time_object_detector
The YOLO Real-Time Object Detector leverages the ultralytics package to provide robust object detection capabilities. This project is designed to identify and classify objects in images, video streams, and live webcam feeds with high accuracy and efficiency.
numpy object-detection object-tracking pandas python3 real-time-processing ultralytics yolov8
Last synced: 07 May 2026
https://github.com/isabelacaldeira/plongee
Here is a program that we made using Python and Jupyter Notebook used to solve a physic problem about diving
jupyter-notebook matplotlib numpy physics python university university-project
Last synced: 08 May 2026
https://github.com/r-mahesh45/reccomendation-system
This project involves building a recommender system using cosine similarity to measure the similarity between items or users. It leverages numerical data to provide personalized recommendations. The model focuses on extracting meaningful insights and improving decision-making processes.
numpy pandas-dataframe python3 scikitlearn-machine-learning
Last synced: 07 May 2026
https://github.com/manishkr1754/loan_eligibility_prediction_python
Predict Loan Eligibility for a Finance company
bivariate-analysis data-visualization decision-trees evaluation-metrics exploratory-data-analysis feature-engineering hypothesis-generation logistic-regression matplotlib model-building numpy pandas random-forest seaborn sklearn univariate-analysis xgboost
Last synced: 08 May 2026
https://github.com/kostadinlambov/the-galois-field-in-cryptography
This project is about Galois fields, what properties they have and how they can be used in cryptography.
aes-encryption asymmetric-cryptography encryption-decryption extension-fields finite-fields galois-fields numpy prime-fields python symmetric-cryptography
Last synced: 08 May 2026
https://github.com/khushi130404/k_means
This repository showcases 2D, 3D, and custom K-Means clustering models with visualizations. It includes both Jupyter notebooks and Python scripts for ease of reproducibility.
clustering-algorithm k-means-clustering numpy plotly sklearn
Last synced: 08 May 2026
https://github.com/mttgdd/openfabmap-python3
Pybind11 and numpy array bindings to openFABMAP
cpp numpy openfabmap pybind11 python robotics vision
Last synced: 08 May 2026
https://github.com/momo790-m/startup-profit-prediction
Machine learning project to predict profits of new startups based on R&D, Admin, Marketing, and State data
assumptions business colab-notebook linear-regression machine-learning matplotlib numpy pandas preprocessing seaborn skit-learn sklearn
Last synced: 08 May 2026
https://github.com/chdl17/imdb-assignment
This GitHub repository contains a project that performs an analysis of the IMDb movie rating dataset. The data is used to explore the relationships between various features and the movie rating. Visualizations are used to illustrate the results of the analysis. The code is organized into a Jupyter Notebook file and data files.
Last synced: 08 May 2026