NumPy | Ecosyste.ms: Awesome

https://github.com/shibbir-ahmad24/a-data-driven-approach-to-food-security-and-supermarket-accessibility

A Data-Driven Approach to Food Security and Supermarket Accessibility

data-analysis matplotlib numpy pandas python3 seaborn

Last synced: 05 Apr 2025

https://github.com/nishthasharma-22/binary-black-hole-merger-gravitational-waves-simulation

Repository of all astronomy related projects, including: Gravitational Waves graph from binary black hole merger

astrophysics blackhole-merger gravity-simulator matplotlib numpy python scipy

Last synced: 05 May 2026

https://github.com/thavinduushan/object-detection

Application developed for real-time object detection and counting utilizing COCO dataset

numpy opencv python

Last synced: 15 Apr 2026

https://github.com/apuravdivekar2032/real-estate-price-prediction

A real estate price prediction website developed using Python with Numpy and Pandas for data cleaning Matplotlib for data visualization and scikit-learn for model building, featuring a Flask server to handle HTTP requests and integrates a user-friendly UI built with HTML, CSS, and JavaScript

flask html-css-javascript jupyter-notebook matplotlib numpy pandas pycharm python3 sklearn vscode

Last synced: 20 Jan 2026

https://github.com/gyselle-marques/transferlearningyolo-desafiodio

Machine Learning: Rotulação de uma base de dados e aplicação de transfer learning com a rede YOLO.

brazilian-portuguese coco coco-dataset colab-notebook dataset dio-bootcamp image-classification machine-learning neural-network numpy object-detection python transfer-learning yolo

Last synced: 10 May 2026

https://github.com/michaeldehaney94/opencv

Python OpenCV computer vision projects

matplotlib numpy opencv-python python

Last synced: 20 Jun 2025

https://github.com/mehradi-github/ref-jupyter-2510

using python in machine learning

matplotlib numpy pandas python sklearn statistics

Last synced: 11 Apr 2026

https://github.com/hawkharsh1/house-price-pridiction-model-using-ann

A deep learning-based regression model built using Artificial Neural Networks (ANN) in PyTorch to predict house prices from structured data. This project demonstrates the application of machine learning and deep learning techniques for solving real-world problems in the housing domain.

artificial-neural-networks deep-neural-networks machine-learning numpy pandas python3 pytorch scikit-learn

Last synced: 08 Apr 2026

https://github.com/timothyjan/intro-machine-learning-classifiers

We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.

numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/lorenzorottigni/ml-interview

Machine Learning python bootcamp: K Nearest Neighbors job interview simulation dataset

ipynb k-nearest-neighbours machine-learning numpy pandas python scikit-learn seaborn

Last synced: 07 Apr 2026

https://github.com/cyberlument/opencv-colormasking-red-

This mini project opencv is for educational purpose.

numpy opencv opencv-python pycharm vscode

Last synced: 20 Jan 2026

https://github.com/priyasingh26/financial_document-data_extraction

This project extracts key information from financial documents like invoices and receipts using text recognition. It processes images, classifies documents, and extracts data, which is then stored in a CSV file. The aim is to automate data collection from scanned documents, reducing manual work and increasing accuracy.

data-extraction numpy ocr pandas pillow preprocessing pytesseract-ocr python sklearn torch transformers

Last synced: 08 Apr 2026

https://github.com/itzzmeakhi/ab-testing

This project was done as a part of Udacity's Data Analyst Nanodegree program in which AB-Testing is performed for the users under treatment and control groups to predict whether changes should be done for an website or it is ideal to keep the existing one, based on the performance of old and new pages. Hypothesis testing, z-test, and Logistic Regression is performed to predict results.

bootstrapping hypothesis-testing jupyter-notebook matplotlib numpy pandas python statistics z-test

Last synced: 04 May 2026

https://github.com/faraazarsath/handson-numpy

This respository is on various Numpy Tasks provided as academic assignment

numpy

Last synced: 16 May 2026

https://github.com/navindafernando/heart-disease-prediction

Deploying the heart risk level predicting Regression model in a web application using Flask :white_flower:

flask html joblib machine-learning numpy supervised

Last synced: 06 May 2026

https://github.com/kunalempire2003/pharmaceutical-solution-engine

flask machine-learning numpy pandas predictive-modeling python recommendation-system render scikit-learn

Last synced: 08 Apr 2026

https://github.com/abideen-olawuwo/sign-language

Multi Class Image Classification

convolutional-neural-networks deep-learning keras machine-learning matplotlib neural-network numpy pandas tensorflow

Last synced: 11 Apr 2026

https://github.com/michelenana/projet-7

PRODUISEZ UNE ETUDE DE MARCHE AVEC R OU PYTHON

acp boxplots cah kmeans matplotlib numpy pandas python scipy seaborn sklearn

Last synced: 08 Apr 2026

https://github.com/bearddan2000/python-web-3d-matplotlib-polygon-graph

A demo of creating a 3d polygon graph.

3d graph matplotlib numpy pandas polygon python web

Last synced: 03 May 2026

https://github.com/aysh2603/credit-card-fraud-detection

The Credit Card Fraud Detection project aims to identify fraudulent transactions from a dataset of credit card transactions. The project addresses the challenge of class imbalance and employs advanced machine learning techniques to build an effective fraud detection model.

ensemble-learning hyperparameter-tuning numpy pandas python3 scikit-learn streamlit

Last synced: 04 Feb 2026

https://github.com/asut00/python-piscine_42ai

Python Bootcamp: A one-week intensive course with 42AI at École 42, covering Python fundamentals, data manipulation, and introductory AI concepts.

matplotlib numpy pandas python

Last synced: 07 May 2026

https://github.com/aqueeqazam/a-deep-dive-introduction-to-tensorflow

TensorFlow is a deep learning system that provides an interface for expressing deep learning algorithms and implementing them. It uses dataflow graphs to represent computation, shared state, and the operations that mutate that state.

deep-learning neural-network numpy tensor tensorflow

Last synced: 03 Aug 2025

https://github.com/volf52/deep-neural-net

A simple deep neural net class written to work with Numpy and Cupy

binarized-neural-networks binary-neural-networks bnn cupy deep-learning deep-neural-networks mnist numpy python python3

Last synced: 05 May 2026

https://github.com/xmcp/midify

Experimental WAVE to MIDI converter

midi numpy waveform

Last synced: 18 Apr 2026

https://github.com/abdur-rahim-mygit/ml-movie-recommendation-system

This project is a Machine Learning-based Movie Recommendation System developed during my internship at YBI Foundation. The system uses collaborative filtering techniques to recommend movies based on user preferences and behavior. It was implemented on Google Colab using Python and popular machine learning libraries.

google-colab machinelearning movie-recomendation-system numpy pandas pyhton

Last synced: 02 Feb 2026

https://github.com/anas436/analyzing-automobile-data-set-using-python

jupyter-notebook numpy pandas python3

Last synced: 08 Apr 2026

https://github.com/ahmedmmahrous/medical-expenses-prediction-end-to-end-data-science-project-

Predict the future medical expenses of patients based on certain features.

data-science deployment exploratory-data-analysis flask machine-learning matplotlib numpy pandas plotly python regression statistics webapp

Last synced: 08 Apr 2026

https://github.com/zborovskaanna/grosery_store_sales_analysis

Python data analysis project. Analysis of grocery store sales using visualizations and reporting in Tableau

data-analysis data-visualization matplotlib numpy pandas python seaborn tableau

Last synced: 08 Apr 2026

https://github.com/5hraddha/zyfra-gold-recovery-prediction

Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing

decisiontreeregressor dummyregressor linearregression numpy pandas randomforestregressor scipy seaborn smape supervised-learning

Last synced: 08 Apr 2026

https://github.com/rakibhhridoy/covid19analysisindashboard-tableau

Covid19 dashboard analysis of world,north america,south east Asia and their characteristics upon pandemic. Some interesting statistics is shown by the data. The increase rate make effect on death and recover rate quite periodic. Simulating those changes make more interactive.

covid-19 dashboard data-processing dataviz numpy pandas python statistics tableau tableau-dashboards

Last synced: 06 May 2026

https://github.com/sadegh-khedry/pneumonia-detection-using-cnn

Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).

cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow

Last synced: 11 Apr 2026

https://github.com/subhashpolisetti/crispdm-semma-kdd-workflows

This repository demonstrates three data mining methodologies applied to various real-world datasets: CRISP-DM (Weather Analysis), KDD (Social Media Ads Analysis), and SEMMA (Spotify Recommendation System). Each project includes data exploration, preprocessing, modeling, and evaluation steps, along with comprehensive documentation, supporting files,

clustering-algorithm crisp-dm kdd latex-template machine-learning numpy pandas random-forest research-paper semma

Last synced: 07 May 2026

https://github.com/mohammedrashithkp/drlforsnakegame

This project utilises a Deep Reinforcement Learning specifically Q learning implemented using PyTorch which learns the game by interacting with the pygame environment .I have followed a tutorial on Freecodecamp YouTube Channel and made the initial model.

deep-reinforcement-learning matplotlib-pyplot numpy pygame python

Last synced: 16 May 2026

https://github.com/aysh2603/twitter-sentiment-analysis

The Twitter Sentiment Analysis project employs Natural Language Processing (NLP) techniques to classify tweets into positive or negative sentiments. By analyzing the tone of tweets, this project provides insights into public sentiment on various topics.

hyperparameter-tuning nlp-machine-learning numpy pandas python3 scikit-learn

Last synced: 13 Jul 2025

https://github.com/mah-22/room-occupancy-prediction-using-environmental-sensor-data

This project uses environmental sensor data to predict room occupancy, providing valuable insights for efficient energy management and space utilization in buildings. By analyzing factors like temperature, humidity, and light levels, the model aims to accurately forecast when rooms will be occupied, optimizing resources and enhancing overall buildi

classification data-science data-visualization exploratory-data-analysis machine-learning numpy pandas python seaborn time-series

Last synced: 07 May 2026

https://github.com/evernext10/coursera_capstone

This repository is created for sending the IBM Data Science Lab and will be used primarily for the Capstone project.

coursera-data-science ibm numpy pandas

Last synced: 10 May 2026

https://github.com/davityak03/sentence-paraphraser-checker-using-transformers

This Jupyter Notebook implements a tool to check whether two sentences are paraphrases by analyzing their semantic similarity using NLP techniques. It provides a similarity score and a binary decision to indicate if the sentences are paraphrases.

keras nlp nltk numpy python tensorflow tokenizer transformers

Last synced: 02 Jan 2026

https://github.com/anufrievsy/man_women

Данный скрипт был создан с целью поиска субъективно интересных серий ТВ-шоу "Мужское Женское"

bs4 clear-output fuzzywuzzy ipython ipython-display jupyter jupyter-notebook jupyter-notebooks matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python requests time youtube youtube-search

Last synced: 05 Feb 2026

https://github.com/mikma03/simulation_modeling

Simulation models using Python. Practical use of Python in real-world examples and additional resourses.

matplotlib numpy pandas portfolio python simulation stocks

Last synced: 08 May 2026

https://github.com/pavanreddy565/infosys_python_for_datascience

Data Science Course Tasks Repository This repository contains tasks and projects completed during the Data Science course from Infosys Springboard. It includes setup instructions for running Jupyter Notebook sessions in a virtual environment.

matplotlib numpy pandas

Last synced: 29 Apr 2026

https://github.com/omraj0/covid19-data-analysis

Analysis of COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support.

covid-19 google-colab matplotlib numpy pandas python

Last synced: 19 Apr 2026

https://github.com/iv4n-ga6l/Object_Detection_With_Background_substractor

Object Detection and Tracking with OpenCV background subtractors

background-substraction-algorithm background-subtraction lucas-kanade numpy object-detection object-tracking opencv optical-flow python scipy

Last synced: 26 Feb 2025

https://github.com/najmulislamnajim/election_data_analysis

css django html javascript numpy pandas python

Last synced: 08 Apr 2026

https://github.com/pranjalshivhare06/medical-ensurance-charge-predictor

The Insurance Price Predictor is a machine learning project designed to predict insurance costs based on various input features. The project leverages four different algorithms, with XGBoost emerging as the most accurate and efficient model.

fastapi machine-learning numpy pandas xgboost-classifier

Last synced: 19 Apr 2026

https://github.com/pabs-code/face-detection-using-haar-cascade-classifier

This is a Streamlit-based face detection application that uses the Haar Cascade classifier to detect faces in uploaded images.

face-detection haar-cascade-classifier numpy opencv python streamlit

Last synced: 08 Apr 2026

https://github.com/bala-1409/peerloankart-loan-fraud-detection-datascience-project

This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.

correlation data-analysis data-cleaning data-science data-visualization dimensional-analysis eda exploratory-data-analysis feature-engineering gradient-boosting-classifier hyperparameter-tuning juypter-notebook machine-learning machine-learning-algorithms numpy pandas predictive-modeling python3 scikitlearn-machine-learning supervised-learning

Last synced: 08 Apr 2026

https://github.com/muhkartal/e-forecast

machine learning-powered energy consumption prediction system that analyzes historical data to forecast future energy usage trends, optimizing efficiency and sustainability.

fastapi joblib matplotlib numpy pandas pydantic pytest sckit-learn seaborn tensorflow tqdm uvicorn xgboost yaml

Last synced: 08 Apr 2026

https://github.com/pradyumnakr/facial-recognition-using-opencv

Uses haarcascades to recognize facial features, patterns and performs feature extraction followed by labelling the data to recognize the faces on a live webcam.

numpy opencv python3

Last synced: 09 May 2026

https://github.com/iliailmer/numpy_learn

A small machine learning mock-library written entirely in numpy and shamelessly imitating PyTorch.

deep-learning machine-learning mnist numpy scipy

Last synced: 09 May 2026

https://github.com/nitesh648singh/loan-eligibility-prediction-using-machine-learning

matplotlib numpy pandas random-forest

Last synced: 18 Apr 2026

https://github.com/guru-bharadwaj20/saliency-maps

A saliency-guided autonomous driving system using cmSalGAN heatmaps, a custom Fusion model, and Faster R-CNN detection. It generates refined saliency maps, trains a saliency-aware detector, and simulates vehicle navigation using datasets like NJUD, NLPR, and STEREO.

cmsalgan numpy opencv python pytorch torchvision

Last synced: 18 Nov 2025

https://github.com/moritzsalla/cci-advanced-visualization

Classwork for Mick Grierson's module at the Creative Computing Institute

matplotlib numpy openframeworks python tensorflow

Last synced: 06 May 2026

https://github.com/dhanish03/credit_card_fraud_detection

Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.

kaggle-dataset numpy pandas-dataframe python3 sklearn

Last synced: 16 Apr 2026

https://github.com/loaiwalid07/portfolio

Loai Nazeer portfolio

classification clustering computer-vision data-science deep-learning deep-neural-networks machine-learning matplotlib matplotlib-pyplot nlp nlp-machine-learning nltk numpy pandas plotly sklearn streamlit tensorflow-tutorials

Last synced: 08 Mar 2026

https://github.com/mohammedsaqibms/planar_data_classification_with_onehidden_layer

This repository implements a simple neural network for binary classification of 2D planar data using Python and NumPy. It compares logistic regression with neural networks and includes code for forward/backward propagation, gradient descent, and decision boundary visualization.

backpropagation binary-classification gradient-descent logistic-regression machine-learning neural-networks numpy python3

Last synced: 10 Jul 2025

https://github.com/alejoduarte23/si_bayesianmixturemodel

Implementation of a two-stage fast Bayesian system identification for separated Modes. This repository expands the usage of this technique by adding a mixture model fit to obtain modal parameters from the posterior distribution.

matplotlib numpy scikit-learn scipy

Last synced: 20 Feb 2026

https://github.com/tabotcharlesbessong/python-errors

This repository will contain all python errors i will encounter in my life as a python plus their solutions

matplotlib-animation matplotlib-pyplot numpy pandas python-script python3 scikit-learn seaborn

Last synced: 16 Apr 2026

https://github.com/anas436/diabetes-prediction-whether-has-diabetes-or-not

jupyter-notebook numpy pandas python3 sklearn svm

Last synced: 05 Apr 2026

https://github.com/mkdirer/depression-data-analysis

This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.

classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization

Last synced: 12 Apr 2025

https://github.com/mrnust/ai-powered-socialmediapostoptimizer_llm

AI-Powered Social Media Post Optimizer enhances your social media content by optimizing text posts with relevant tags and keywords, predicting engagement metrics, and analyzing image quality. Upload your post and image to receive tailored suggestions for improving engagement and visual appeal.

groq langchain large-language-model llama-3-70b matplotlib numpy opencv streamlit textblob

Last synced: 14 Apr 2026

https://github.com/shdrn2402/budget-analytics

Analyze a family's two-year spending in Israel to uncover trends, optimize budgets, and compare consumption patterns using Python, Pandas, and visualization tools.

jupyter-notebook matplotlib numpy pandas python seaborn visualization

Last synced: 08 Apr 2026

https://github.com/shreeparab1890/laptop-price-predictor

This notebook is trying to build a model which will predict the price of the laptop based on the given specifications.

machine-learning-algorithms matplotlib numpy pandas price-prediction python scikit-learn sklearn

Last synced: 06 Apr 2026

https://github.com/jancervenka/genalg

Solver for traveling salesman problem

genetic-algorithm numpy python

Last synced: 12 Apr 2025

https://github.com/jaffarkeikei/hackbio

This repository contains a comprehensive toolkit for analyzing single-cell perturbation data from the NeurIPS 2023 Competition. The project focuses on understanding how different drugs (small molecules) affect various cell types at the gene expression level.

csv-files jupyter-notebook matplotlib numpy python tensors

Last synced: 11 May 2026

https://github.com/vipinchaudhary31122002/cardiopredict

CardioPredict is a smart, ML-powered application that helps analyze your risk of heart disease using interactive forms, clinical features, and trained classification models.

machine-learning matplotlib numpy pandas python3 random-forest seaborn streamlit

Last synced: 12 Apr 2025

https://github.com/vipinchaudhary31122002/bytephone

A data science project that explores, visualizes, and models smartphone features from a futuristic 2025 dataset to predict mobile prices using machine learning.

machine-learning matplotlib numpy pandas python3 scikit-learn seaborn streamlit

Last synced: 13 Apr 2026

https://github.com/raufjatoi/ai-programming

Programming for AI labs

ai deep-learning jupyter-notebooks machine-learning matplotlib numpy pandas python pytorch seaborn sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/tberchanov/clustering-k-means

Sample program where is implemented clustering by K-means algorithm, and its visualisation.

clustering-algorithm kmeans-clustering matplotlib numpy python

Last synced: 16 May 2026

https://github.com/andrerab/book-clustering-and-recommendation-system

clustering machine-learning-algorithms nlp numpy pandas python recommendation-system sklearn torch

Last synced: 11 Apr 2026

https://github.com/rajaprerak/tag_generation

natural-language-processing nlp nltk numpy pandas python sklearn

Last synced: 06 Apr 2026

https://github.com/beolawork-art/novabank-churn-analysis

NovaBank has noticed that customers are closing accounts or going inactive, and they want to understand why.

data-analysis data-science-projects data-visualization eda machine-learning numpy pandas python scikit-learn sql

Last synced: 08 Apr 2026

https://github.com/themihirmathur/machine-failure-predictor

The 'Machine Failure Predictor' is a web application designed to enable predictive maintenance for industrial equipment. Leveraging machine learning techniques, this application predicts whether equipment will fail and identifies the type of failure based on key process parameters.

cicd digitalocean docker fastapi flask github github-actions machine-learning matplotlib mlops numpy plotly python randomforest scikit-learn seaborn streamlit

Last synced: 10 Apr 2026

https://github.com/shibbir-ahmad24/amazon-product-sales-data-analysis-trends-and-insights

Amazon Product Sales Data Analysis: Trends and Insights

amazon-dataset data-analysis matplotlib numpy pandas seaborn

Last synced: 05 Apr 2025

https://github.com/shahbazshaddy/explainable-multimodal-ai-for-breast-cancer-and-pneumonia-prediction

A deep learning-based framework integrating explainable multimodal AI for accurate prediction and transparent diagnosis of breast cancer and pneumonia.

deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit

Last synced: 08 Apr 2026

https://github.com/shibbir-ahmad24/a-deep-dive-into-covid-19-death-trends-in-the-usa

Unveiling Insights: A Deep Dive into COVID-19 Death Trends in USA

aggregation colab-notebook interactive-visualizations map matplotlib numpy pandas python3 seaborn

Last synced: 05 Apr 2025

https://github.com/hansalemaos/cppradixsort

parallel_radixsort from C++ for Python (Windows)

cpp numpy parallel-computing python sort

Last synced: 05 Feb 2026

https://github.com/colesmcintosh/pycuda-numpy-vector-ops

Accelerating NumPy Vector Operations with PyCUDA

cuda-programming numpy pycuda

Last synced: 28 Apr 2026

https://github.com/lintangwisesa/flask_sklearn_californiahouse

Simple Flask App with Linear Regression model to predict California house pricing 🏠

california-house-pricing flask linear-regression machine-learning numpy pandas sklearn

Last synced: 12 Apr 2026

https://github.com/seymencanates/pythonn

Here is my all personal educations , notes , basic apps I did. Here will be my backside for all supportive information about python I am gonna need.

django flask numpy pandas python3 scikitlearn-machine-learning tensorflow tkinter

Last synced: 08 Apr 2026

https://github.com/shreyavats23/sign_language_recognition

Sign Language Recognition using Deep Learning : ~ Built a model to recognize American Sign Language (ASL) for letters A–Z and digits 1–9 ~ Achieved ~89% validation accuracy using a Convolutional Neural Network (CNN) ~ Used data augmentation techniques to improve generalization ~ Visualized predictions to test the model on real samples

artificial-intelligence keras machine-learning matplotlib numpy python pytorch seaborn sklearn tensorflow

Last synced: 08 Apr 2026

https://github.com/winstxnhdw/pyalign

An over-engineered website for aligning multiline strings to a common character with PyScript.

numpy pyscript uv

Last synced: 13 Jun 2025

https://github.com/zeeshan4002911/data-analysis

Quality control, data processing, data cleaning, data ploting

jupyter-notebook jupyterlab matplotlib numpy pandas seaborn

Last synced: 30 Apr 2025

https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding

Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.

l1-normalization l2-norm numpy pytho video-cod

Last synced: 04 Apr 2025

https://github.com/sarthakm402/rabbi

A Ml library that can be used ot clean,and use models to predict on data

numpy optuna pandas pypi-package python sklearn

Last synced: 20 Apr 2026

https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023

Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.

binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap

Last synced: 08 Apr 2026

https://github.com/bishopce16/surfs_up

An analysis of weather data to determine opening of an ice cream and surf shop using SQLite, SQLAlchemy, and Python.

matplotlib numpy pandas python sqlalchemy sqlite weather

Last synced: 02 Apr 2026

https://github.com/barraharrison/seoul-bike-sharing

Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system

jupyterlab matplotlib numpy pandas python scikit-learn seaborn

Last synced: 23 Jul 2025

https://github.com/danielpancake/mlml

my little machine learning library written in NumPy

machine-learning numpy

Last synced: 05 Apr 2025

https://github.com/ohyeasabhi/signature-recognizer

Este projeto desenvolve um sistema para verificar a similaridade de assinaturas usando redes neurais. Ele utiliza o Triplet Loss para criar embeddings, focando na avaliação biométrica com o dataset CEDAR. 🖊️🌐

backpropogation-neural-network computer-vision django image-recognition jupyter-notebook keras machine-learning-projects neural-network numpy one-shot-learning python-project siamese-neural-network signature signature-recogniton tensorflow type voice-recognition windows