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/sharif-minhaz/rag-system
Ingest and vectorize content upon publication, store embedding, then retrieve and augment user queries with context to generate high-quality responses.
faiss flask mysql2 nodejs numpy rag react transformers
Last synced: 14 Apr 2026
https://github.com/muhammadshavaiz/hand-sketch-recognition--inceptionv3
The Hand Drawn Sketch Classification project uses PyTorch to classify hand-drawn sketches. It evaluates model Inception_v3, with Inception_v3 achieving the highest accuracy of 57%. The repository features scripts for dataset management, model training, and evaluation.
inception-v3 matplotlib numpy pandas python pytorch
Last synced: 14 Apr 2026
https://github.com/icepanorama/internship-visualizations-and-demonstrations
A collection of some of the programs that I've written over the course of my internship.
artificial-intelligence machine-learning matplotlib numpy pandas python3 pytorch scikit-learn
Last synced: 14 Apr 2026
https://github.com/samir-atra/experiments_and-_improvements
A repository showing the knowledge in some of the machine learning technologies there are.
dcgan-tensorflow numpy tensorflow-tutorials tensorflow2
Last synced: 23 Jan 2026
https://github.com/omarsaad21/shopping-cart-eda
An EDA python project focusing on getting the most out of a movies dataset (- 1- combine this data together - 2- check messing values - 3- show summary statistics - 4- deal with date time and extract features from dates - 5- answer at least three questions from this data)
eda jupyter-notebook numpy pandas plotly python
Last synced: 13 Apr 2026
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
adversarial-attacks deep-learning densenet121 fgsm-attack imagenet-classifier jailbreak machine-learning numpy patch-based-attack pgd-adversarial-attacks torch
Last synced: 14 May 2026
https://github.com/fbi555/fashion-mnist-cnn-tf
🧵 Classify fashion images using a compact CNN model in TensorFlow/Keras, designed for the Fashion-MNIST dataset with easy execution in Google Colab.
adam classification cnn colab-notebook computer-vision convolutional-neural-networks custom-training-loop deep-learning fashion-mnist gans image-classification interactive jupyter-notebook keras lowlevelapi mnist-dataset numpy regularization
Last synced: 06 May 2026
https://github.com/juzershakir/train_a_smartcab_to_drive
From just cab, to Smart-Cab
cogsci decay-rate epsilon machine-learning machine-learning-algorithms machine-learning-tutorials matplotlib numpy pandas pygame python27 q-learning reinforcement-learning smartcab training udacity-nanodegree visualization
Last synced: 22 Oct 2025
https://github.com/shuyib/pimadlkeras
Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.
diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn
Last synced: 15 Mar 2026
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
Last synced: 20 Jan 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/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
Last synced: 11 Apr 2026
https://github.com/williyam-m/company-registration-trends
Utilized Linear Regression from scikit-learn to predict future company registration trends.
flask matplotlib numpy pandas-python scikit-learn
Last synced: 06 May 2026
https://github.com/nauxqouh/python-for-data-science-labs
This repo contains weekly practical codes for my Python for Data Science course at university.
data-science jupyter-notebook numpy pandas python pytorch scikit-learn
Last synced: 11 Apr 2026
https://github.com/kavayk29/text-summarization-fine-tuning-pegasus-model
This project uses the Pegasus model to generate concise, coherent text summaries. Fine-tuned on large datasets, it excels in abstractive summarization, ideal for automating tasks like summarizing articles and research papers.
datasets huggingface-transformers matplotlib nltk numpy pandas teansform tqdm
Last synced: 06 May 2026
https://github.com/kaguya163/marketing_campaigns
Анализ маркетинговой эффективности в спортивном ритейле.
ab-testing machine-learning matplotlib numpy pandas python scikit-learn scipy sqlite3
Last synced: 11 Apr 2026
https://github.com/chirindaopensource/search_benford_law_compatibility
End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.
academic-research anomaly-detection benfords-law chi-squared-test data-validation econometrics financial-analysis financial-data forensic-accounting fraud-detection ftse goodness-of-fit jupyter-notebook numpy pandas python reproducible-research risk-management scipy statistical-testing
Last synced: 12 Apr 2026
https://github.com/nitesh648singh/chat-sentimental-analysis-
matplotlib numpy pandas seaborn
Last synced: 19 Apr 2026
https://github.com/harmanveer-2546/reducing-data-entries
Way to delete data entries from csv/excel file using. For excel file, use excel instead of csv in the code.
csv data data-entry delete-data excel numpy pandas python
Last synced: 05 May 2026
https://github.com/bilgenurbekar/turkishcyberbullying
Contains fine-tuned BERT models and results in the text classification category using Turkish social media data
bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers
Last synced: 07 Mar 2026
https://github.com/moustafamohamed01/car-price-prediction
Car Price Prediction using Linear Regression A machine learning model that predicts car prices based on features like name, company, year, kilometers driven, and fuel type. Built with Linear Regression and deployed as a Streamlit web app.
data-science jupyter-notebook linear-regression machine-learning numpy pandas python sickit-learn sklearn streamlit
Last synced: 11 Apr 2026
https://github.com/junaidsumsaal/advanceparkingsystem
Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.
axios-react chakra-ui-react data-science met metrics ml numpy pand python3 react sklearn tailwindcss typescript
Last synced: 11 Apr 2026
https://github.com/atul-maurya-30/galaxy
Galaxy Classification is a machine learning project focused on classifying galaxies into two subclasses: 'STARFORMING' and 'STARBURST'. This project demonstrates data preprocessing, model training, and evaluation using advanced machine learning techniques and Python libraries.
flask machine-learning matplotlib numpy pandas python regression-classification seaborn sklearn
Last synced: 09 Mar 2026
https://github.com/ritwika-das-gupta/flight_price_prediction
Flight price Prediction is made using decision tree model and Machine learning concepts
cross-validation data-science data-visualization desiciontree flask gridsearchcv html-css-javascript hyperparameter-tuning json machine-learning matplotlib numpy pandas pickle python scikit-learn sklearn statistics supervised-learning
Last synced: 11 Apr 2026
https://github.com/timeless-residents/handson-tensorflow-numpy
A practical guide to learning and using TensorFlow and NumPy for data manipulation and machine learning
data-science machine-learning numpy tensorflow tutorial
Last synced: 06 May 2026
https://github.com/jagroop2001/learning-numpy
Learning NumPy complete the exercise
Last synced: 16 May 2025
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.
analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap
Last synced: 11 Apr 2026
https://github.com/apbetioli/neural-network
A simple neural network implementation
machine-learning neural-network numpy python3
Last synced: 29 Apr 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/zombietdv/hm_gpt_v1.0
Homemade GPT( not that good ).
attention-mechanism backpropagation deep-learning numpy
Last synced: 19 Apr 2026
https://github.com/hansalemaos/cv2_collage
Create a collage from images with OpenCV
Last synced: 06 May 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/harmanveer-2546/nba-homecourt-advantage-data-analysis
In this repo we're diving into NBA game data to explore the phenomenon of home court advantage.
analysis homecourt learning-curve linear-models logisticregression metrics model-selection nba nba-analytics nba-stats numpy pandas preprocessing seaborn sklearn standardscaler
Last synced: 06 Feb 2026
https://github.com/hellymodikalpesh/numpy
This repository is designed as a comprehensive resource for learning the NumPy library. It covers nearly all functions and features of NumPy, providing a thorough exploration of its capabilities for numerical computing and data analysis.
Last synced: 28 Jan 2026
https://github.com/adriantomin/bulldozer-price-prediction
Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.
data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 23 Jan 2026
https://github.com/shreshthvashisht/bank-loan-case-study
Risk Analytics using Python
data-cleaning data-imputation data-normalization data-standardization exploratory-data-analysis jupyter-notebook loan-analytics loan-default-prediction matplotlib-pyplot numpy pandas python-data-analysis python-data-science risk-analysis seaborn-plots
Last synced: 07 May 2026
https://github.com/jsd115/tensorflow_bankfrauddetection
This repository aims to provide examples of my ability to produce ML models using tensorflow and sklearn
numpy pandas sklearn tensorflow
Last synced: 06 Feb 2026
https://github.com/batthulavinay/which-anime-dominates-the-world
This Kaggle notebook analyzes the global popularity of anime across different countries. Using data visualization and statistical insights, we explore which anime dominate in various regions and uncover trends in global anime consumption.
data-visualization exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 24 Mar 2025
https://github.com/elmezianech/email-spam-ham-classifier-nb-hard
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.
ai emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering
Last synced: 11 Apr 2026
https://github.com/ggrbill/phd-plot-scripts
My personal plot scripts used to generate graphs for my PhD Thesis
hacktoberfest matplotlib numpy python
Last synced: 18 Apr 2026
https://github.com/anhquoc533/neural-network
A Neural Network framework for building Multi-layer Perceptron model.
artificial-intelligence artificial-neural-networks deep-learning framework machine-learning machine-learning-algorithms neural-network neural-networks numpy python3
Last synced: 26 Oct 2025
https://github.com/pushtogithub23/projectilemotion-simulation
This Jupyter notebook explores projectile motion through mathematics, visualizations, and interactive simulations.
jupyter-notebook matplotlib-pyplot numpy physics-simulation projectile-motion-simulation
Last synced: 28 Jan 2026
https://github.com/gusenov/max-empty-rect-py
:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.
algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection
Last synced: 06 Feb 2026
https://github.com/kumar-o/customer-churn-prediction
🔍 Predict customer churn using a synthetic dataset with advanced models and metrics to enhance business retention strategies and decision-making.
churn-prediction customer-churn-prediction customer-survival-analysis data-science factorization-machines flask-application gridsearchcv libsvm machine-learning model-evaluation numpy pipelines roc-auc scikit-learn seaborn smote survival-analysis xgboost4j
Last synced: 06 May 2026
https://github.com/salvatoreamaddio/pipeline-assessment
Pipeline Simulation
anaconda jupiter-notebook mysql mysql-database numpy pandas pandas-python python sparql sparql-query
Last synced: 08 Apr 2026
https://github.com/sonaligill/olympics-analysis
The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.
numpy plotly python scikit-learn scipy streamlit
Last synced: 28 Jan 2026
https://github.com/saifalibaig/-online-retail-exploratory-data-analysis-with-python
Exploratory Data Analysis of an online retail store
data-analysis data-visualization matplotlib numpy pandas python3
Last synced: 11 Apr 2026
https://github.com/asut00/Machine-Learning-Program_42AI
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 27 Oct 2025
https://github.com/nordszamora/ds-ml-projects
My repository for Data Science & Machine Learning projects.
data-analysis data-science data-visualization jupyter-notebook kaggle machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 15 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/OneMoreDavid/python-like-a-boss
This is where I stash my Python study material.
data data-analysis data-engineering data-science data-visualization datascience ipynb ipynb-jupyter-notebook ipynb-notebook numpy pandas python python3
Last synced: 28 Oct 2025
https://github.com/lintangwisesa/python_pillow_image_array
Convert 🖼 image to 📜 Numpy array using Pillow [Python]
Last synced: 07 May 2026
https://github.com/bedirk/portfolio-projects
Data Analytics Portfolio Projects
dataanalysis excel mssqlserver numpy pandas powerbi python sql tableau
Last synced: 16 Mar 2026
https://github.com/sahraiidle/email-spam-detector
Email/SMS spam detector with a Flask UI/API, tuned ML models (TF‑IDF + SVM/LogReg/NB), and a ready-to-run web form plus JSON endpoint for predictions.
data machine-learning numpy pandas python randomforest scikit-learn spam-classifier spam-detection svm
Last synced: 24 Jan 2026
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
Last synced: 11 Apr 2026
https://github.com/alejandro945/insurance-risk
This project aims to predict the risk of insurance claims using a dataset from Kaggle. The dataset consists of 26 columns and 205 rows, providing various features related to insurance risk. By analyzing this data, we seek to build predictive models that can help insurers assess the risk of claims.
data-analytics ipython-notebook numpy pandas python
Last synced: 06 Feb 2026
https://github.com/prab9166/-web-content-extraction-and-sentiment-analysis-
web content extraction and sentiment analysis on URLs provided in an Excel file. Its divided into classes to manage different stages such as data loading, web scraping, text processing, sentiment scoring, and output generation
beautifulsoup lxml nltk-python numpy pandas python re requests xlsxwriter
Last synced: 06 May 2026
https://github.com/dilkushsingh/iris-species-classifier
Used Random Forest Classifier Algorithm
huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit
Last synced: 15 Apr 2026
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
Last synced: 06 May 2026
https://github.com/djdhairya/parkinson-s-disease-detection
datapreprocessing machine-learning modeling numpy pandas scikit-learn svm
Last synced: 15 Apr 2026
https://github.com/lunanvarg/bid-data-cac22039
En este repositorio se vé mi TP Integrador del programa Codo a Codo: Big Data
colab data-studio-google deepnote excel matplotlib mysql numpy pandas-library python seaborn
Last synced: 06 May 2026
https://github.com/sa001gar/password-manager-on-the-top-of-streamlit
Secure Password Manager is a Python-based application developed by Sagar Kundu, designed to provide users with a secure and convenient way to manage their passwords. With features like user authentication, password generation, and secure storage using bcrypt and MongoDB, it ensures the safety of sensitive information while offering an intuitive use
bcrypt gui-application mongodb numpy numpy-library pandas-dataframe pandas-library pandas-python password-generator password-manager pymongo python python3 streamlit-application streamlit-webapp urllib
Last synced: 15 Apr 2026
https://github.com/shwetapardhi/assignment-03-q5--hypothesis-testing
Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of
alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing null-hypothesis numpy pandas python scipy significance-testing stats
Last synced: 28 Jan 2026
https://github.com/drsartoriuss/portfolio
Учебные проекты из Яндекс Практикума "Специалист по Data Science+"
catboost computer-vision data-science deeplearning mashinelearning matplotlib nlp-machine-learning numpy pandas scipy seaborn sklearn sql torch tsf
Last synced: 28 Jan 2026
https://github.com/svastikkka/data-science-machine-learning
Data Science and Machine Learning
classsification linear-regression machine-learning matplotlib mysql numpy pandas python
Last synced: 26 Jul 2025
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/carolina-riddick/xg-by-match-segments-football-analysis
futbol matplotlib numpy python segments soccer-analytics xg
Last synced: 15 May 2026
https://github.com/ahmedabdalkreem/hotel-reservation
Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.
bagging decisiontreeclassifier ensemble extra-trees-classifier logistic-regression matplotlib numpy pandas python3 random-forest sklearn-library svc-model
Last synced: 11 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
Last synced: 11 Apr 2026
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/piero24/lossfuncition-4sn
This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.
dataset deep-learning deep-neural-networks loss loss-functions matplotlib neural-network numpy opencv polyp-detection polyp-segmentation python python3 pytorch segmentation segmentation-models torchvision transformers unipd unipd-dei
Last synced: 06 May 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/deepankkartikey/ml-projects
A repository of projects done while learning and exploring ML
classification csv machine-learning numpy pandas regression sklearn
Last synced: 15 Apr 2026
https://github.com/asherk7/house-price-prediction
House Prices - Advanced Regression Techniques - Predict sales prices and practice feature engineering, RFs, and gradient boosting
data-science numpy pandas regression scikit-learn
Last synced: 15 Apr 2026
https://github.com/ramy-badr-ahmed/higgs-dataset-training
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
binary-classification cuda-toolkit cupy dask dask-dataframes higgs-boson keras keras-tensorflow matplotlib matplotlib-python numpy pandas pandas-dataframe scikit-learn uci-dataset uci-machine-learning
Last synced: 30 Jan 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/vandanac20/advanced-real-estate-valuation-with-ensemble-regression-models
Advanced Real Estate Valuation with Ensemble Regression Models
machine-learning numpy pandas python sklearn
Last synced: 06 May 2026
https://github.com/hercules-peters/learn-ml-with-me
Welcome to **ML-Journey**, my personal progress tracker for mastering machine learning! This repository showcases my projects, notebooks, and explorations as I advance my skills, starting with hands-on projects.
machine-learning numpy pandas python sklearn
Last synced: 15 Apr 2026
https://github.com/bartosz-ziolkowski/social_data
Data analysis of San Francisco's crime data set from 2003 to 2018
data-science data-visualization jupyter-notebook numpy pandas python
Last synced: 06 May 2026
https://github.com/ljadhav25/decision-tree-random-forest-algorithm-data-science-
This repository contains an implementation of decision tree and random forest algorithms from scratch in Python. Decision trees and random forests are popular machine learning algorithms used for classification and regression tasks. The goal of this project is to provide a clear and understandable implementation of these algorithms
data-analysis data-science decision-trees machine-learning-algorithms matplotlib numpy pandas python random-forest-classifier
Last synced: 15 Apr 2026
https://github.com/imdeepmind/knn_from_scratch
KNN classifier in pure Numpy and Python
knn knn-classification machine-learning numpy python
Last synced: 11 Apr 2026
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: 15 Apr 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/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/ayuub34/siesta-smart
This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models. The goal is to enhance the efficiency of the system through advanced technology solutions.
ai data-analysis-python data-processing data-science jupyter-python machine-learning matplotlib numpy pandas powerbi-report pyqt5 scipy seaborn sklearn
Last synced: 25 Feb 2026
https://github.com/vyjayanthipolapragada/fraud_detection_creditcard
Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML
classification-model data-preprocessing decision-tree-classifier kaggle-dataset machine-learning numpy pandas python scikit-learn snapml time tree-model
Last synced: 11 Apr 2026
https://github.com/pd2871/streamlit_automl
Auto Exploratory Data Analysis using Streamlit App
matplotlib numpy pandas python streamlit streamlit-webapp
Last synced: 11 Apr 2026
https://github.com/jayanthpotluri5513/heart-disease-prediction-using-ml
This project aims to develop a machine learning model for heart disease prediction, leveraging the potential of advanced algorithms and a comprehensive dataset.
machine-learning matplotlib numpy pandas python
Last synced: 06 May 2026
https://github.com/keyurparalkar/breast-cancer-detection
Predict whether the cancer is benign or malignant
gradient-descent logistic-regression machine-learning numpy
Last synced: 26 Apr 2026
https://github.com/thkox/uni_2023-compression-and-object-removal
This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
2023 6th-semester colorama compression-algorithm department-of-informatics heapq lossless-compression-algorithm motion-compensation multimedia-systems numpy object-removal opencv-python pickle python scipy-stats university-of-piraeus
Last synced: 07 Feb 2026
