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An open API service indexing awesome lists of open source software.

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.

https://github.com/v41bh4vr4jput/python---numpy

A collection of hands-on examples, exercises, and projects to master NumPy — the fundamental package for numerical computing in Python. This repository is perfect for beginners and advanced learners looking to explore array manipulation, mathematical operations, and high-performance data analysis.

numpy python3

Last synced: 20 Apr 2026

https://github.com/raeinlayeghpour/test-bench-for-signal-validation-simulated-3-phase-system

Automated Project - Test Bench for Signal Validation (Simulated 3-Phase System)

numpy pandas pycharm pytest python

Last synced: 13 Apr 2026

https://github.com/chandkund/wine-quality-prediction

This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.

logistic-regression matplotlib numpy pandas-python random-forest-classifier svm-classifier

Last synced: 01 May 2026

https://github.com/yipjunkai/pyvolr

Modern Black-Scholes-Merton pricing, Greeks, and implied volatility for Python. Rust core. Drop-in replacement for the abandoned py_vollib.

black-scholes black-scholes-merton greeks implied-volatility maturin numpy options options-pricing py-vollib pyo3 python quant quantitative-finance rust

Last synced: 30 May 2026

https://github.com/harmanveer-2546/credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

ann catboost-classifier eda lightgbm machine-learning matplotlib neural-network numpy pandas python random-forest seaborn xbg

Last synced: 13 Apr 2026

https://github.com/chmohit91/introduction-to-python

A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners

matplotlib numpy pandas plotly python python-library python3 seaborn

Last synced: 13 Apr 2026

https://github.com/shibbir24/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: 13 Apr 2026

https://github.com/n1k1f0rm/ml-predicts

Place where you can find in transparent way how ML algos works

machine-learning ml numpy python

Last synced: 21 Apr 2026

https://github.com/falakjatin/face-recognition

This is my final year project of engineering. It might not work because its not maintained.

haarcascade-frontalface numpy opencv pandas python3

Last synced: 13 Apr 2026

https://github.com/hanzdr/2d-3d-object-transformation

For my Linear Algebra Project Defense

matplotlib-python matrix numpy

Last synced: 19 Apr 2026

https://github.com/ifte-13/early-stage-brain-stroke-detection

Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm

decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/shivamkumar818/mbti-personality-prediction-from-text-data

MBTI Personality Prediction from Text Data This project leverages machine learning to predict Myers-Briggs Type Indicator (MBTI) personality types based on textual data, specifically from social media posts.

confusion-matrix correlation-matrix data-visualization dataset knn-classification linear-regression logistic-regression modeltraining navebayes numpy pandas python

Last synced: 13 Apr 2026

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

Gender detection using gender classification model

genderclassification genderdetection numpy pil python resnet18 torch torchvision

Last synced: 28 Apr 2025

https://github.com/iv4n-ga6l/Geometric-ShapesRecognizer-in-image

Geometric shapes recognizer API built in python

api-rest flask numpy opencv python shaperecognitionapi

Last synced: 28 Apr 2025

https://github.com/iv4n-ga6l/Crowd-move-simulation

Crowd move simulation in python

matplotlib numpy python simulation

Last synced: 28 Apr 2025

https://github.com/harmanveer-2546/finding-you-next-perfect-house

In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.

adaboostregressor decisiontreeregressor exploratory-data-analysis house-price-prediction inline linearregression matplotlib numpy onehotencoder pandas plotly python randomforestregressor renting seaborn standardscaler xgbregressor

Last synced: 13 Apr 2026

https://github.com/saro0307/exploratory-data-analysis-terrorism

Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023

colaboratory data-analysis datascience machine-learning numpy pandas python seaborn skit-learn visualization

Last synced: 13 Apr 2026

https://github.com/dummumounika/ecommerce-sales-categorization

This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.

machine-learning matplotlib-pyplot ntlk numpy pandas python scikit-learn

Last synced: 13 Apr 2026

https://github.com/soumyapro/house-price-prediction

Explored different attributes of Boston housing dataset then a part of dataset was used to train the linear regression algorithm after that trained model was used to give predictions on remaining part of dataset.

linear-regression matlplotlib numpy pandas sklearn svm

Last synced: 13 Apr 2026

https://github.com/dmarks84/coursework_project_nlp-with-nltk

Project for University of Michigan Applied Data Science Specialization -- Utilized NLTK library to process natural language, and then built several spelling recommenders for a list of misspelled words.

data-modeling databases dataframes eda nlp numpy pandas python reporting statistics text-mining visualization

Last synced: 13 Apr 2026

https://github.com/nambukeerthi/copper_project

Data Analysis Skills – Work with real-world data. Machine Learning Experience – Build and train models. Web App Development – Create interactive dashboards

eda machine-learning numpy pandas python streamlit

Last synced: 13 Apr 2026

https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t

collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif

Last synced: 09 May 2026

https://github.com/shwetapardhi/assignment-03-q2--hypothesis-testing

Anova ftest statistics A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine wheth

annova ftest hypothesis-testing numpy pandas python scipy significance-testing stats

Last synced: 11 Apr 2026

https://github.com/saraasgari99/videoclassificationusingdeeplearning

ML pipeline for biological video analysis using cutting-edge CNN architectures and industry-standard data processing and ML techniques

computer-vision data-processing keras-tensorflow machine-learning numpy sklearn tensorflow

Last synced: 13 Apr 2026

https://github.com/udacity-machinelearning-internship/support-vector-machine

Implementing SVM's using pandas and sklearn in python

numpy pandas sklearn support-vector-machines svm

Last synced: 13 Apr 2026

https://github.com/sadia-khan13/data-preprocessing

Welcome to the Data preprocessing Repository! This repository is dedicated to showcase the comprehensive resources and implementations related to Data Preprocessing using Python and Jupyter Notebook.

artificial-intelligence data-analysis data-mining data-preprocessing data-science jupyter-notebook matplotlib numpy pandas python seaborn-python sklearn

Last synced: 11 Apr 2026

https://github.com/1adityakadam/uber_data_analytics

End to end Google Bigquery + Looker Studio Data Analytics Project Transforming NYC Taxi Data into Actionable Intelligence

bigquery looker-studio mage-ai-pipeline numpy pandas sql

Last synced: 13 Apr 2026

https://github.com/csengupta1101/netflix-rating

The project revolves around Netflix shows and movies around the world. The problem statement that is being tried to address here is that what kind of show to come up with in future times and how well that will fit with the audience

jupyter-notebook matplotlib movies netflix numpy pandas plotly python python3 rating tvseries

Last synced: 13 Apr 2026

https://github.com/sadegh15khedry/housing-prices-prediction-using-randomforest

This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.

csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn

Last synced: 27 Feb 2025

https://github.com/abhisek-13/whatsapp-chat-analyzer

The WhatsApp Chat Analyzer is a data analysis project that provides insights into WhatsApp chats. It analyzes chat data to show metrics like the number of lines, most used letter, chatting duration, media files shared, most used emojis, and group member activity. The results are displayed on a user-friendly dashboard built with Streamlit.

data-analysis data-mining data-visualization eda machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn

Last synced: 13 Apr 2026

https://github.com/5hraddha/eda-instacart-customers-shopping-habits

In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.

data-visualization exploratory-data-analysis instacart matlpotlib numpy pandas

Last synced: 13 Apr 2026

https://github.com/thanhloc81/rfm-model-project

✨ Build a flow to deploy Segmentation evaluation through Python programming.

customer-segmentation numpy pandas python rfm-analysis

Last synced: 03 May 2026

https://github.com/nicolascoiado/nivel-mar

Este projeto realiza uma análise detalhada do nível médio global do mar (GMSL), utilizando uma base de dados pública que abrange medições históricas. O objetivo é explorar tendências, calcular a taxa média de elevação e visualizar os dados por meio de gráficos.

google-colab jupyter-notebook matplotlib numpy pandas python python3 scikit-learn

Last synced: 11 Mar 2025

https://github.com/thinker84/real-time-stock-price-prediction-and-market-analysis-using-machine-learning

Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.

data-science django lstm machine-learning numpy pandas pandas-datareader scikit-learn stock-market stock-price-prediction stooq streamlit yahoo-finance yahoo-finance-api

Last synced: 13 Jul 2025

https://github.com/nirmaldeepponnada/codeclauseinternshipproject2

Python, NLTK, Scikit-Learn, Pandas, NumPy, Pickle, SciPy, and JSON are used for text preprocessing, feature engineering, multi-label classification, and model persistence.

nltk numpy pandas pickle python scikit-learn scipy

Last synced: 07 Apr 2026

https://github.com/jcm-ai/robust-mlops-elevating-machine-learning-to-production-scale

This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.

aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml

Last synced: 09 Apr 2026

https://github.com/jfjlaros/online-array

Online array, pass a function as a NumPy array.

array function numpy online unbounded

Last synced: 13 May 2026

https://github.com/moonshallow5/solar-system-simulation

A solar system simulation using the Beeman scheme and the Euler method

matplotlib-animation matplotlib-pyplot numpy

Last synced: 13 May 2026

https://github.com/geetu040/fetcher

AI GAME: We have a random maze and 2 agents at random places. You control the Fetcher and find the way through the maze to get ot the target. You can automate the Fetcher to use trained models that help Fetcher fetch the target by itself. The models are based on deep neural networks, implemented by tensorflow and Keras API. The models are so efficiently trained, they find ways through the maze without hitting the walls and have an accuracy of more than 99%

artificial-intelligence css deep-learning html javascript jupyter-notebook machine-learning matplotlib neural-networks numpy python sklearn tensorflow web-design

Last synced: 13 Apr 2026

https://github.com/dmarks84/coursework_project_network-analysis-node-link-prediction

Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)

classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization

Last synced: 13 Apr 2026

https://github.com/fabriziomusacchio/ann_with_numpy

A how-to for building an artificial neural network from scratch using NumPy

ann artificial-neural-networks neural-network numpy

Last synced: 08 May 2026

https://github.com/singhvishal003/brain_stroke_prediction

Brain Stroke Prediction according to age and Health Condition.

matplotlib numpy pandas sklearn

Last synced: 13 Apr 2026

https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24

This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.

eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn

Last synced: 13 Apr 2026

https://github.com/nyx1311/toxicity-detector-using-bilstm

🚀 What we built: An AI-powered Women’s Safety & Well-Being Detector — a web app that flags multiple forms of online abuse in real time and offers tools for emotional recovery. 📊 Under the hood: BiLSTM + Word2Vec embeddings for deep, context-aware detection Trained on 21K+ labeled comments across 7 toxicity categories Built with Python, Tensor

epoch genism gpu keras-tensorflow matplotlib model nlp nlp-machine-learning nlpaug-textual numpy pandas pandas-library python3 streamlit tensorflow word2vec

Last synced: 14 Apr 2026

https://github.com/hilalozdemirbuyukasik/deep-learning

A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.

bilstm cnn keras matplotlib nn numpy rnn scikit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/lesiaukr/mathematic_for_cs_colab_hw

Master's degree | HW | Mathematics for Computer Science course | Homeworks

goit google-colab home-works latex linear-algebra mathematics-for-computerscience matrices numpy python vectors

Last synced: 13 Apr 2026

https://github.com/ediloaz/linear-regression-with-lists-numpy-and-pytorch

This was done like the homework #01 of Machine Learning Course, of Computer Science Master.

arrays-raw jupyter-notebook machine-learning numpy python pytorch

Last synced: 13 Apr 2026

https://github.com/railab/nxscli-np

Nxscli extention with Numpy operations

numpy nxscli

Last synced: 21 Apr 2026

https://github.com/tigureis/analise_dataset_campanha_marketing

O projeto visa melhorar a eficácia das campanhas de marketing através da análise de dados e da construção de um modelo preditivo.

numpy pandas plotly seaborn sklearn xgbo

Last synced: 13 Apr 2026

https://github.com/mmerlyn/analysis-of-tomato-prices

Forecasting tomato prices in Karnataka using machine learning to help farmers make better crop planning and selling decisions.

css flask html matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Jul 2025

https://github.com/suap-dev/python-essentials

a repository intended for people who want to know some python basics

lambda-functions numba numpy oop pandas teaching

Last synced: 17 Mar 2025

https://github.com/jersonrn/termviewer3d

Interactive terminal environment that allows users to explore 3D models in real-time.

3d ascii cupy gpu linear-algebra numpy python

Last synced: 19 May 2026

https://github.com/hansalemaos/a_pandas_ex_split_on_common_char

Splits the elements in a Series using a common separator character and returns a DataFrame.

numexpr numpy pandas separator split string

Last synced: 14 Jan 2026

https://github.com/patex1987/ghcn-temperature-dataset

Analysis of GHCN (Global Historical Climatology Network) temperature dataset using Numpy

climate-data jupyter-notebook numpy python temperature-data

Last synced: 10 May 2026

https://github.com/theblueberrycompendium/keras-movie-classification

This is an basic application that uses Keras

ai keras-tensorflow numpy python3 simple-project

Last synced: 13 Apr 2026

https://github.com/anikdascodes/fantasy-cricket-project

🏏 Python simulation for generating 20K+ unique fantasy cricket teams with probability-based player selection and constraint optimization. Advanced algorithms, data analysis & visualizations included.

algorithm constraint-satisfaction cricket data-science fantasy-sports jupyter machine-learning numpy optimization pandas plotly probability python simulation sports-analytics

Last synced: 28 Apr 2026

https://github.com/fimbres/matplotlib-start

A crash project with the most important matplotlib functions and methods, used in data science, AI and machine learning.

data-science matplotlib matplotlib-pyplot numpy pandas python python-script

Last synced: 13 Apr 2026

https://github.com/18mahi/digital_cave

An intermediate-level deep learning project that compares Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) on the MNIST handwritten digits dataset. This project demonstrates data augmentation, learning rate scheduling, and visual comparison of model performance

cnn confusion-matrix data-augmentation data-science deep-learning evaluation-metrics jupyter-notebook keras learning-rate-scheduler machine-learning matplotlib mlp numpy python3 scikit-learn seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/pranavsp108/time-series-forcasting

A time-series forecasting project to predict hourly energy consumption using Python, Pandas, and an XGBoost regression model.

data-analysis data-science energy-consumption forecasting matplotlib numpy pandas python scikit-learn sustainability time-series xgboost

Last synced: 10 Apr 2026

https://github.com/ahmadbuilds/fake-news-classifier

Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.

fastapi logistic-regression matplotlib n-grams nextjs nltk numpy pandas python3 random-forest-classifier react scikit-learn seaborn supervised-learning tf-idf typescript xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/disney35/stock-prices-dashboard

A dashboard to analyze, predict, and visualize stock prices using Python & LSTM

ema jupyter-notebook keras macd matplotlib-pyplot mfi numpy pandas python rsi scikit-learn sma streamlit tenserflow yfinance

Last synced: 12 Apr 2026

https://github.com/akashash01/support_vector_machine

It's an linear model for classification and regression problems. It can solve non-linear problems by creating a hyperplane which separates the data into classes using KERNAL .

data-science datavisualization machine-learning numpy pandas python sklearn svm-classifier

Last synced: 13 Apr 2026

https://github.com/dibsthegreat/titantic-dataset-analytics

DASC4850 Final Project where I did EDA to determine the survivability of Titanic guests depending on Age, Gender, Wealth, etc.

data-science data-visualization matplotlib numpy pandas python random-forest-classifier

Last synced: 13 Apr 2026

https://github.com/farhad-here/height-distribution-analysis

Statistical comparison of height distributions in two groups using mean, standard deviation, and boxplots.

coefficient-of-variation data-analysis interquartile-ranges matplotlib mean numpy python scipy standard-deviation variance

Last synced: 13 Apr 2026

https://github.com/swatisinghit/treadmill-customer-profiling-for-aerofit

Create comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Develop two-way contingency tables and analyze conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions.

analytics conditional-probability data-analysis data-science data-visualization eda numpy pandas probability statistics

Last synced: 08 May 2026

https://github.com/ejw-data/python-bitwise-operators

Difference between bitwise and logical operators when using pandas

numpy pandas

Last synced: 08 May 2026

https://github.com/ashishgoswami13/handgesture_recognition

Real-time hand gesture recognition using computer vision and deep learning. Collect gesture images, train a model with Google Teachable Machine, and classify gestures live for applications like drone control or human-computer interaction.

computer-vision cvzone handgesture-recognition keras numpy python teachable-machine

Last synced: 18 Apr 2026

https://github.com/isratafrin826/linear-regression-model

Linear Regression is a statistical method used to model the relationship between a dependent variable (target) and one or more independent variables (features) by fitting a straight line (regression line) to the data. It predicts the target value based on the linear relationship and is commonly used for forecasting and trend analysis.

googlecolaboratory numpy pandas sklearn

Last synced: 03 May 2026

https://github.com/prarthana-singh/bangalore-house-price-predictor

🏡 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.

data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 19 Apr 2026

https://github.com/ben854719/autonomous-health-monitoring-emergency-response

This app uses Bluetooth to link a worker’s smartphone with a supervisor’s laptop for live health monitoring. PySyft handles secure biometric authentication, while machine learning detects injuries and visualizes them on a dashboard. Agentic AI responds to critical events by triggering emergency protocols and contacting 911 with location data.

agentic-ai bluetooth cryptography cybersecurity error-handling gemini langgraph machine-learning-algorithms matplotlib mcpserver nltk numpy pysyft python pytorch socket tcp tenseal

Last synced: 28 Apr 2026

https://github.com/khushneetsingh/datasanity

DataSanity is a AI-powered web application for dataset cleaning, synthetic data generation, vectorization, and data enrichment using natural language prompts.

cerebrus exa faiss-vector-database llm nextjs numpy pandas serperdev sqlite tailwindcss

Last synced: 08 Apr 2026

https://github.com/alex-s2222/mem_chat_bot

телеграмм бот для создания gif из текста введённого пользователем

cv2 google-api moviepy numpy python python-telegram-bot requests

Last synced: 08 Oct 2025

https://github.com/eiichiroito/numpharo

NumPy like tools for Pharo Smalltalk

matplotlib-pyplot numpy pharo pharo-smalltalk smalltalk

Last synced: 18 Jan 2026

https://github.com/amish5ingh/cricket-data-analytics-ipl

Data analysis and visualization of IPL 2022 matches using Python, Pandas, Matplotlib, and Seaborn. Includes insights on match outcomes, player performances, toss trends, and venue stats with 12+ charts.

data-analysis data-visualization ipl-data-analysis ipl-data-visualization jupiter-notebook matplotlib-pyplot numpy pandas python seaborn

Last synced: 09 May 2026

https://github.com/ellennewerkla/eda_students_performance

EDA em Python com Pandas, Matplotlib e Seaborn para identificar padrões de desempenho em estudantes.

matplotlib numpy pandas python3 seaborn

Last synced: 08 May 2026

https://github.com/gherrada22/spanish-sign-translator

This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.

language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml

Last synced: 18 Jan 2026

https://github.com/yappy2000d/pps-ndarray

Multi-dimensional array implementation

cpp numpy

Last synced: 18 Jan 2026

https://github.com/armahdavi/analytics_statistics_ml_plotting_dust_extraction_hvac_filters_ph2

PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics

Last synced: 14 Apr 2026

https://github.com/fuodorov/python

Python Numpy Tutorial

numpy python

Last synced: 09 Oct 2025

https://github.com/winterwind/mlp_and_cnn

A short two-part project involving using an MLP and a CNN for ECG signal data

cnn convolutional-neural-network csv-files jupyter jupyter-notebook mlp neur numpy python pytorch

Last synced: 14 Apr 2026

https://github.com/arsh-pixel-cmd/ai-image-classifier

AI Image Classifier is a web app that uses AI and deep learning to classify images in real-time. Built with Streamlit, TensorFlow (MobileNetV2), OpenCV, and NumPy, it allows users to upload single or multiple images and get the top-3 predictions with confidence scores instantly in the browser.

docker numpy opencv python3 streamlit tensorflow2 uv

Last synced: 10 Apr 2026

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Blogs 404 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 36 Videos 34 🎲 Statistics & Probability 34 Web 33