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Awesome

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/theanujsinha01/customer-segmentation-using-k-means-clustering

This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters

jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning

Last synced: 09 Apr 2026

https://github.com/paulo-santos-ds/rotatividade_de_clientes

A operadora de comunicações InternetGO está interessada em prever a rotatividade de seus clientes (churn). Se for identificado que um usuário está planejando trocar de operadora, a empresa poderá oferecer códigos promocionais e opções de planos especiais para evitar a perda desse cliente.

catboost numpy pandas pyplot python seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/datarohit/nfl-big-data-bowl-2022--analysis

This is a Jupyter Notebook containing the analysis performed on a Kaggle Competition Dataset which contains data about NFL players and games.

kaggle kaggle-competition matplotlib-pyplot numpy pandas plotly python seaborn

Last synced: 09 Apr 2026

https://github.com/shreeparab1890/movie-recommender-system

This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.

bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization

Last synced: 09 Apr 2026

https://github.com/RedInfinityPro/Laser-Strategy

Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.

math numpy pygame random sys time

Last synced: 30 Sep 2025

https://github.com/malwarebo/carcinet

Basic breast cancer detection using Machine Learning

deep-learning keras machine-learning matplotlib numpy python3 scipy tensorflow

Last synced: 09 Apr 2026

https://github.com/edwardcdev/satellites-chart

A simple dashboard for satellites data statistics by displaying charts such as line-marker, histogram and box charts.

nodejs numpy pandas python

Last synced: 09 Apr 2026

https://github.com/matheussc017/irisclassification_sklearn

Application of Machine Learning technique to classify 3 types of iris flower

data-science machine-learning numpy pandas python

Last synced: 09 Apr 2026

https://github.com/rickymagner/nonlinear-gradient-descent

An example of using gradient descent to approximate noisy data sampled from a cubic curve.

matlab matplotlib numpy octave pandas python

Last synced: 09 Apr 2026

https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app

This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.

bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss

Last synced: 09 Apr 2026

https://github.com/bhargav-joshi/img-caption-generator

Automatically creating the description or caption of an image using any natural language sentences is a very challenging task. It requires both methods from computer vision to understand the content of the image and a language model from the field of natural language processing to turn the understanding of the image into words in the right order. In addition to that we have discussed how this model can be implemented on web and will be accessible for end user as well.

flask jupyter-notebook keras machine-learning nlp nltk numpy pandas python tensorflow

Last synced: 09 Apr 2026

https://github.com/aakashks/ct-reconstruction-2d

Python Implementation of Computed Tomography (CT) reconstruction for 2D images

computed-tomography ct-reconstruction numpy

Last synced: 09 Aug 2025

https://github.com/dwarkadhish2005/house-price-predictor

Applied neural network for machine learning and done many analysis of data

keras matplotlib numpy pandas python seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/affan-ch/gesture-talk-ai

GestureTalkAI: Decode hand language with precision. This AI project utilizes cutting-edge computer vision for real-time hand gesture detection, unveiling the unspoken messages conveyed through intuitive movements.

numpy open-cv python

Last synced: 09 Apr 2026

https://github.com/c0sogi/python-dcm

A high-performance Python package for handling ETAS DCM(Data Conversion Format) files used in engine calibration tools like INCA, MDA, EHANDBOOK, and CANape.

automotive dcm ecu-calibration etas inca numpy pandas python

Last synced: 12 Aug 2025

https://github.com/zazi2002/neuroscience-project-cnn

This project is part of the Neuroscience of Learning, Memory, Cognition course and focuses on the visual processing pathways in the brain, particularly the dorsal and ventral streams.

cnn-for-visual-recognition learning matplotlib numpy scipy visual-processing

Last synced: 09 May 2026

https://github.com/mhmudfzli/exploring-mental-health-data

This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance

catboost lightgbm matplotlib numpy pandas scikit-learn seaborn xgboost

Last synced: 09 Apr 2026

https://github.com/nirmalyabag20/wine-quality-prediction-machine-learning

This project analyzes the chemical properties of wines to identify key factors influencing quality. By leveraging machine learning techniques, i aim to develop predictive models that accurately classify wine quality, providing valuable insights for producers and enthusiasts alike.

k-neighbors-classifier logistic-regression machine-learning matplotlib numpy pandas python random-forest seaborn svc

Last synced: 09 Apr 2026

https://github.com/dulajkavinda/live-sketching

✍️ Converting live video stream from webcam into a sketch using OpenVC and Keras

added image-filtering keras machinelearning matplotlib numpy opencv python

Last synced: 10 Apr 2026

https://github.com/Tritonix711/FractureAI

This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.

css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics

Last synced: 19 Aug 2025

https://github.com/amari-calipso/papers-please-tasbot

A "Papers, Please" TASbot that offers a programmable interface with the game

cython game-bot games image-processing numpy papers-please papersplease python python3 tas tool-assisted-speedrun

Last synced: 13 Feb 2026

https://github.com/haidermalikk/neural-network-circuit-optimizer

The Neural Network Circuit Optimizer, built on my custom digital circuit simulator, uses AI and machine learning to optimize simple digital circuits. It leverages neural networks, circuit simulation, and optimization algorithms to reduce component count which improves: power usage, and execution time and efficiency. *Under Dev see Readme*

ai jupyter-notebook matplotlib ml numpy pandas python pytorch sqlalchemy tensorflow

Last synced: 10 Apr 2026

https://github.com/octcarp-courses/sustech_cs303-ai_f23_works

(49.8/50) Course code of CS303 2023 Fall: Artificial Intelligence, SUSTech. Taught by Prof. Ke TANG.

numpy pytorch sustech

Last synced: 08 May 2026

https://github.com/tejasvi541/machine-learning

My Machine and Deep Learning Practice and Projects Notebooks

matplotlib numpy python3 pytorch sklearn tensorflow

Last synced: 10 Apr 2026

https://github.com/ansub/mask-detection

A Mask Detection Application using Keras/TensorFlow and OpenCV.

keras numpy opencv python tensorflow

Last synced: 10 Apr 2026

https://github.com/mousazourob/stockdataresampler

Python script that resamples an instruments minute by minute candle stick data to any interval

alpha-vantage-api numpy pandas python

Last synced: 07 May 2026

https://github.com/yogeshnile/flight-delay-prediction

In this repo i developed predict a flight delay using machine learning.

flight-delay-prediction jupyter-notebook machine-learning numpy pandas python3 seaborn sklearn

Last synced: 13 Feb 2026

https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data

This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.

aws cassandra catboost-classifier classification credit-risk data data-science dataanalysis dockerfile finance financial-analysis flask github-actions logging machine-learning mlflow numpy pandas python

Last synced: 03 Jan 2026

https://github.com/mohd-tahzeeb-khan/reverse_dcf-calculator-and-vistualization

This Dashboard is Developed by me. I had Applied for Internship in which i had to develop this Dashboard to showcase my skill and talent.

beautifulsoup bs4 dash dashboard dataframes flask numpy pandas plotly plotly-dash plotly-express python requests shares stock-market

Last synced: 14 Apr 2026

https://github.com/fayzi-dev/machin_learning

Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)

algorithms artificial-neural-networks logistic-regression machine-learning matplotlib matplotlib-pyplot naive-bayes-classifier numpy pandas python python3 seaborn seaborn-plots sklearn sklearn-knn sklearn-library sklearn-linear-model sklearn-linear-regression sklearn-metrics sklearn-svm

Last synced: 09 Apr 2025

https://github.com/mnitin-reddy/reducing-review-overhead-with-ml-based-application-screening

A machine learning classification project to filter out low-probability visa applications using historical data. It features an end-to-end implementation with CI/CD on AWS, achieving 93% accuracy with a KNN model optimized through Optuna, alongside integration of MLOps tools like Evidently and MLflow.

aws docker githubactions hypothesistesting machinelearning matplotlib mlflow mlops mongodb numpy optuna pandas python scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/miroslav-reiter/kurz_ako_sa_stat_datovym_analytikom_python

🐍 Ako sa stať Dátovým ANALYTIKom v Pythone - Materiály, zdroje, skripty k večernému online školeniu Ako sa stať Dátovým Analytikom v Pythone pre Robime.it (Mentor Partners)

analysts analytics data-science math matplotlib numpy pandas python reiter scipy vizualisation

Last synced: 04 Apr 2026

https://github.com/apoorva-info/eye-blink-detetction

Blink Detector Sensitive to Facial Orientation

mediapipe numpy opencv python3

Last synced: 28 Apr 2026

https://github.com/harsh8088/py_cluster

Grouping in data values.

numpy python sklearn

Last synced: 11 Apr 2026

https://github.com/zazi2002/neuroscience-project-olfactory-signal

This project is part of the Neuroscience of Learning, Memory, Cognition course. The main objective is to analyze Local Field Potential (LFP) signals recorded from three different brain regions of an anesthetized rat while it performed an olfactory task.

frequency-analysis lfp-analysis matplotlib numpy scipy signal-processing

Last synced: 30 Apr 2026

https://github.com/virajbhutada/google-stock-price-forecasting-lstm

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting

Last synced: 27 Feb 2025

https://github.com/gauravsakure02/pubg_win_prediction

Predicting PUBG game wins using a dataset involves analyzing various in-game features such as player kills, distance traveled, and weapons acquired to build a model that forecasts the likelihood of winning a match based on player performance, helping in winning game

matplotlib numpy pandas sklearn

Last synced: 29 Apr 2026

https://github.com/pacatro/lse2text

Deep learning program that translates Spanish Sign Language (LSE) to text in real time.

ai cnn computer-vision deep-learning lse matplotlib numpy pandas python pytorch pytorch-lightning scikit-learn torchmetrics translation

Last synced: 11 Apr 2026

https://github.com/bogdang888g/jojo_stands

Анализ параметров стендов из ДжоДжо

numpy pandas plotly python scipy

Last synced: 11 Apr 2026

https://github.com/mdaiyub/covid-19-detection

The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are approximately five million confirmed cases and the novel virus is still spreading rapidly all over the world. The chest X-ray images along with emerging Artificial Intelligence (AI) methodologies, in particular, Deep Learning (DL) algorithms have recently become a worthy choice for early COVID-19 screening. This work proposes a DL-assisted automated method using X-ray images for the early diagnosis of COVID-19 infection. We evaluate the effectiveness of the pre-trained Convolutional Neural Network (CNN) model. The model has been validated on publicly available chest X-ray images and it is obtained by CNN with an accuracy of 97.26%. This study will be useful for researchers to think about the design of more effective CNN-based models for early COVID-19 detection.

backend early-stopping global keras matplotlib modelcheckpoint numpy os pandas tensorflow

Last synced: 02 Apr 2026

https://github.com/nirmalvatsyayan/data-analyst-nanodegree

Udacity data analyst nanodegree project submissions and learning

data-analysis numpy pandas python statistics udacity-data-analyst-nanodegree

Last synced: 12 Apr 2026

https://github.com/paulo-santos-ds/dados-telefonia

Este projeto tem como objetivo desenvolver um modelo que possa analisar o comportamento do cliente e recomendar um dos planos mais recentes de uma companhia telefônica fictícia.

matplotlib numpy pandas python3 sklearn

Last synced: 12 Apr 2026

https://github.com/dhruvv1402/ai-based-realtime-hand-detection-using-opencv-and-mediapipe

A real-time AI system for detecting and tracking hands using Python, OpenCV, and Mediapipe. This project demonstrates how to identify hand landmarks and extract gesture data for further applications like gesture control, sign language interpretation, and more.

mediapipe numpy opencv os python python3 time

Last synced: 12 Apr 2026

https://github.com/ashishtukaral/sign-language-recognition-using-ai

A real-time Sign Language Recognition system using AI to translate hand signs into text and speech, enhancing communication for individuals with hearing impairments. This web application leverages neural networks and computer vision to provide accurate and accessible translation.

ann classification cnn computer-vision deep-learning flask keras machine-learning matplotlib neural-network numpy oops opencv pandas python3 tensorflow

Last synced: 04 Feb 2026

https://github.com/satvikpraveen/fashionmnist-analysis

A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.

computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg

Last synced: 22 Apr 2025

https://github.com/hamdaniqhmqd/kelompok6-sistem-cerdas-bbri

Repository group6-system-smart-bbri is a group assignment project that uses Streamlit, scikit-learn, and related technologies to build a BBRI stock price prediction application based on day, week, and month input.

data-visualization numpy pandas python sklearn streamlit

Last synced: 03 Apr 2025

https://github.com/mchenryspagg/analysis-of-car-repair-shop-operations

This project presents a comprehensive data analysis of a car repair shop's operations, utilizing an extended dataset of sales receipts.

dataanalysisusingsql datavisualization matplotlib-pyplot mysql mysql-database mysqlconnector numpy pandas python salesanalysis seaborn sql

Last synced: 07 Jan 2026

https://github.com/bunu23/image-classification-resnet50-streamlit

This project demonstrates an image classification system using ResNet50, fine-tuned on a custom dataset. It includes a Streamlit application for user interaction, allowing image uploads and classification results. It integrates Google's generative AI models for enhanced analysis.

cnn deep-learning generative-ai keras matplotlib numpy pillow python resnet-50 streamlit tensorflow

Last synced: 07 Apr 2026

https://github.com/prashver/stock-price-prediction-lstm

Using Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), this project predicts Nestle India stock prices. The dataset spans from May 18, 2018 to May 20, 2022, and results are visualized using matplotlib.

keras lstm-model matplotlib numpy pandas recurrent-neural-network

Last synced: 12 Apr 2026

https://github.com/Vice777/SAFE-HEART

Classify the chances of having a Heart Attack based on your Heart's Condition.

kaggle machine-learning matplotlib mlfromscratch mlp-classifier multilayer-perceptron-network numpy pandas pickle streamlit streamlit-webapp

Last synced: 11 Mar 2025

https://github.com/dantasl/probabilidade-analise

Análise sobre o desempenho dos discentes na disciplina Resolução de Problemas Matemáticos Para Tecnologia da Informação (RPMTI) nos semestres de 2015.2, 2016.1 e 2016.2

data-science numpy pandas probability

Last synced: 13 Apr 2026

https://github.com/amorehead/ml-fundamentals

A self-educational series of Python scripts made to explore the vast library of machine learning knowledge.

machine-learning numpy pandas python scipy sentdex tensorflow tflearn

Last synced: 13 Apr 2026

https://github.com/gregoritsch3/ml_eda_classification_loanapprovalprediction

An EDA and Machine Learning Classification exercise on the Loan Approval dataset demonstrating EDA, feature engineering, StratifiedKFold and the use of Tensorflow NN, SVC, LinearSVC, XGBoost, Naive-Bayes, Bagging, Random Forest and Decision Tree algorithms.etc. The modela are optimized using hyperparameter tuning through GridSearchCV.

eda feature-engineering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn tensorflow

Last synced: 13 Apr 2026

https://github.com/screamman-ssh/facemousecontrol

This project is about using your nose tip for the mouse's cursor and open your mouth for the left click.

autopy computer-vision face-detection mediapipe-facemesh mouse numpy opencv python python-3-7 ui

Last synced: 13 Apr 2026

https://github.com/tasninanika/k-nearest_neighbors

K-Nearest Neighbors (KNN) is a simple and powerful machine learning algorithm used for classification and regression.

knn matplotlib numpy pandas python3 seaborn

Last synced: 13 Apr 2026

https://github.com/petitgrizzlies/metaheuristiques

Travaux pratiques de meta heuristique. Unige 2016-2017

cffi cpp golang heuristic-algorithm matplotlib numpy python35

Last synced: 13 Apr 2026

https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-

Can you predict soil parameters from hyperspectral earth observation data?

dee keras matplotlib neural-network numpy pandas seaborn

Last synced: 13 Apr 2026

https://github.com/parmeetbhamrah/air-quality-india-analysis

Exploratory data analysis of real-time air quality data from Indian cities using Python, Pandas, Matplotlib, and Seaborn.

air-quality data-analysis eda exploratory-data-analysis government-data india matplotlib numpy pandas python seaborn

Last synced: 05 May 2026

https://github.com/abhinav330/data-science-projects

The Data Science Projects folder contains various projects related to data analysis, machine learning, and exploratory data analysis (EDA). Each project focuses on a specific dataset and utilizes different techniques and algorithms to extract insights and make predictions.

decision-trees exploratory-data-analysis k-means-clustering k-nearest-neighbours kaggle linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly python random-forest-classifier support-vector-machines

Last synced: 30 May 2026

https://github.com/takkii/pylean

Data analysis ( 🐍 💎 📈 )

analayze matplotlib numpy pandas python scikit-learn

Last synced: 09 Sep 2025

https://github.com/programmer-rd-ai/dimensionality-reduction

DimRed is a comprehensive Python toolkit for advanced dimensionality reduction, integrating with major machine learning libraries and featuring real-time performance monitoring to enhance data analysis and model efficiency.

analytics data-analysis data-science lightgbm machine-learning matplotlib numpy pandas programming python python3 sklearn university xgboost

Last synced: 01 Mar 2025

https://github.com/codewitheshayoutube/corvit_python_data_analytics_course

I teach Python & Data Analytics at Corvit Systems. This repository contains all course materials, including code, assignments, projects, and resources. ⭐ Stay updated!

matplotlib numpy pandas python python3 scikitlearn-machine-learning seaborn

Last synced: 13 Apr 2026

https://github.com/rishraks/color-object-detection

This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.

computer-vision numpy opencv pillow-library

Last synced: 11 Apr 2026

https://github.com/hossein-cod/deep-learning-for-training

Analysi hear disease data set with deep learning

accuracy chart jupyter keras matplotlib numpy pandas py python sklearn tensorflow

Last synced: 09 Mar 2026

https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis

This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.

backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning

Last synced: 16 Feb 2026

https://github.com/mardavsj/numpy-in-python

The fundamentals of Python NumPy Library.

analysis-tool data-manipulation numpy numpy-arrays numpy-matrix python

Last synced: 14 Apr 2026

https://github.com/parneet-sandhu/virtual-try-on

This project uses OpenCV, Mediapipe, and NumPy to create an interactive virtual try-on experience. The application overlays a virtual accessory (e.g., glasses) onto the user's face using webcam input and allows users to control the brightness of the camera feed and capture screenshots using hand gestures.

computer-vision mediapipe numpy opencv python tkinter

Last synced: 19 Jan 2026

https://github.com/smusab9152/pokemon_data_analysis

This repo that explores and analyzes a dataset of Pokémon attributes. The analysis includes data cleaning, exploratory data analysis (EDA), and visualizations .

analytics data-analysis data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas pokemon python seaborn statistical-analysis

Last synced: 02 May 2026

https://github.com/briankopp/fewerbytes

compress numpy arrays. binary and numeric techniques for numpy compression

compress compression numpy python python3 storage

Last synced: 18 May 2026

https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books

Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots

apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning

Last synced: 04 May 2026

https://github.com/rahatmoktadir03/market-anomaly-detection

This AI-engineering project involves building a machine learning model to classify financial market conditions and detect potential market crashes. It includes developing investment strategies based on the model’s predictions and designing an AI-driven bot to explain the results to end users.

ai anomaly-detection financial-analysis investment-strategies machine-learning numpy pandas python sklearn

Last synced: 09 Feb 2026

https://github.com/shreeparab1890/flipkart-laptops-analysis-eda

This ipython notebook is the Exploratory data analysis (EDA) of the Laptops listed on Flipkart.

data-analysis eda exploratory-data-analysis matplotlib-pyplot numpy pandas plotly

Last synced: 14 Apr 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
NumPy Categories
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