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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/hanzdr/2d-3d-object-transformation

For my Linear Algebra Project Defense

matplotlib-python matrix numpy

Last synced: 19 Apr 2026

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/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/eny2930/ai-ml-projects

A project demonstrating various libraries and tools in using algorithms in machine learning. This repository includes code samples, datasets, and detailed explanations.

iris-dataset keras linear-regression logistic-regression matplotlib numpy pandas pytorch sckiit-learn seaborn sentiment-analysis

Last synced: 13 Apr 2026

https://github.com/sorabh-kapoor/face-recognition-attendance-system

The Facial Recognition System is an AI-powered application USING FLASK designed to detect and recognize faces with high accuracy. This system can be integrated into various applications, including security systems, attendance management, and identity verification.

flask flask-application knn ml numpy opencv pandas python scikit-learn

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/lmtreser/intro-data-science

Trayecto de formación en Ciencias de Datos con Python y Pandas

data-science matplotlib numpy pandas python seaborn

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-04-simple-linear-regression-2

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score

Last synced: 08 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/bropenguin847/python-learning

Learning Python for Scientific Programming. Intended for beginners with some knowledge of Python.

array-manipulations convolution jupyter matlab matplotlib-pyplot numpy pandas-python pep8 python python3 scientific-programming scipy spyder-ide vscode

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/rajan-bhateja/data-analysis-with-python

Cleaning, analysis and visualization on various datasets using Python and its various libraries via Jupyter Notebook

data-cleaning data-science jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 30 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/ot-code/coca-cola-stock-prediction

This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.

arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost

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/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/mstrlc/iss-project

FIT VUT – ISS – signal processing - synthesizing and resynthesizing of a MIDI keyboard

fit iss matplotlib numpy python scipy signal-processing vut

Last synced: 11 Mar 2025

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/arrnikhilchauhan/book-recommendation

This Book Recommendation System is designed to provide personalized book suggestions based on user ratings and interaction. By leveraging the power of Pandas and NumPy, it filters and processes data efficiently, ensuring that recommendations are relevant and tailored to the user’s preferences

numpy pandas-library python

Last synced: 15 Apr 2026

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/niel0503/probabilidade-e-amostragem

Desafio desarrollado para el bootcamp de WoMakersCode

estadistica matplotlib numpy pandas stats

Last synced: 18 Jan 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/rishabhmathur06/pytorch

This repository contains codes related to the PyTorch tutorial provided by Patrick Loeber

neural-network numpy pandas python pytorch sklearn

Last synced: 13 Apr 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/mastermindromii/car-price-prediction-model

Here is My Regression Project based on Predicting Price of Car using Linear Regression.

linear-regression matplotlib numpy pandas python scikit-learn seaborn

Last synced: 13 Apr 2026

https://github.com/dharma-acha/imageclassification

This project is an interactive Streamlit web application using the VGG-13 model to classify images from the CIFAR-10 dataset. Users can upload images to receive real-time predictions and visual explanations of the model's decisions. The goal is to accurately classify images into one of the ten CIFAR-10 classes: airplanes, automobiles, birds, cats,

colab-notebook matplotlib numpy pandas python3 pytorch scikit-learn seaborn streamlit

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/marianoviola/reim

🕸️ A Computational Framework for Inferring System Truth from Distributed Noisy Observations

fastapi numpy pandas python3 scipy

Last synced: 11 Jun 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/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/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/danny-1k/nnpy

Neural network library written from scratch in numpy

deep-learning neural-networks-from-scratch numpy python

Last synced: 17 May 2026

https://github.com/legalaspro/rnn_gru_lstm_experiments

RNN, GRU, LSTM implementation using PyTorch and Numpy

gru ltsm numpy pytorch rnn

Last synced: 21 Apr 2026

https://github.com/lupin3000/augmentedreality

Introduction into augmented reality (AR) with Python OpenCV ArUco markers.

aruco aruco-marker camera-calibration marker-detection numpy opencv pose-estimation python

Last synced: 13 Apr 2026

https://github.com/tkc/node-neural-network

Built with only pure typescript, neural network iris sample.

javascript machine-learning neural-network node numpy typescript

Last synced: 09 Apr 2026

https://gitlab.com/DLR-SY/mcodac

MCODAC is a Fortran library for the numerical evaluation of fiber composite damage. The library contains analysis methods specifically tailored to fiber composites, from micromechanical homogenization approaches to macroscopic fatigue models of orthotropic multilayer composites.

fortran numpy python

Last synced: 02 Apr 2025

https://github.com/parthshah02/customer_churn_dashboard

This repository features a comprehensive project showcasing data analysis and interactive dashboard using Python

data-analysis matplotlib numpy pandas python

Last synced: 13 Apr 2026

https://github.com/ola-kaznowska/numpy-matrix-arrays

Practice working with the NumPy library and multiple arrays. Copy() and view() functions

numpy python python3

Last synced: 18 Apr 2026

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/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/soumyapro/hand-tracking-volume-controller

This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.

mediapipe numpy opencv-python pycaw time

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/elvisrock/government_analysis

Esse projeto, tem como objetivo, analisar, explorar algumas técnicas e propor uma sugestão ao governo de forma geral, sem qualquer viés politico.

data-science machine-learning numpy pandas python sklearn

Last synced: 05 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/mehediehteshum/minesweeper

Building classic 'Minesweeper' game from scratch using Pygame with VS Code.

numpy pygame python python3

Last synced: 06 Oct 2025

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/sducournau/ign_lidar_hd_dataset

🏗️ Comprehensive Python library for processing IGN LiDAR HD data into machine learning-ready datasets for Building Level of Detail (LOD) classification. Features GPU/CPU processing, smart data management, and complete ML pipeline integration.

building-classification data-processing dataset france geospatial gis ign lidar lidar-hd numpy point-cloud scikit-learn

Last synced: 20 Jan 2026

https://github.com/sudharshan-bathini/chat-bot-using-cornell-movie-data-set

Developed an AI chatbot using the Cornell Movie Dialogs dataset; trained an LSTM-based model to generate context-aware, conversational responses for user inputs.

keras lstm-sentiment-analysis neural-networks nlp numpy python tensorflow tokenizer

Last synced: 08 Apr 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/christabelsakyi/tsec

This project implements a time series forecasting solution for predicting electricity consumption based on historical data. It provides multiple model options, a Flask API for deployment, and visualization tools.

facebook numpy pandas python sklearn time-series-analysis

Last synced: 07 Oct 2025

https://github.com/christabelsakyi/product_purchase_prediction

As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.

machine-learning matplotlib-pyplot numpy python seaborn sklearn

Last synced: 08 May 2026

https://github.com/umer-farooq-cs/california-housing-regression

Linear Regression experiments on the California Housing dataset across five phases, using NumPy and scikit-learn only (no pandas). Includes EDA, polynomial features, SGD with scaling, residuals, 5-fold CV, and an LNCS-style report with figures.

california-housing cross-validation deep-learning-for-perception linear-regression numpy polynomial-features reproducible-research residual-analysis sgd sklearn

Last synced: 09 May 2026

https://github.com/raveenaross/bulldozer-price-prediction

Predicting the sale price of bulldozers using machine learning

matplotlib numpy pandas sklearn time

Last synced: 07 Oct 2025

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

The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.

biomedical-applications biomedical-data-science biomedical-engineering classification deep-learning machine-learning neural-networks numpy pandas prediction python seaborn sklearn tensorflow

Last synced: 15 Apr 2026

https://github.com/ricardorobledo/malicious_server_hack_detection

Predictive model to detect malicious hacking patterns in banking servers. Utilizes advanced Machine Learning techniques such as SMOTE, Gradient Boosting, and probability calibration to predict attacks befor

anaconda cibersecurity imbalanced-data imbalanced-learning imblearn kaggle matplotlib numpy pandas pandas-library python3 sklearn

Last synced: 14 Apr 2026

https://github.com/pedasoft-consult/employee-attrition-prediction

This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.

joblib numpy pandas python3 sklearn streamlit

Last synced: 10 Apr 2026

https://github.com/NetBr3ak/Planetary-System-Simulation

Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.

astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application

Last synced: 08 Oct 2025

https://github.com/ahmrina/unetbraintumorseg

UNetBrainTumorSeg is a 3D Slicer extension named "seg_module" that integrates a 3D UNet trained on BraTS2020 dataset to segment brain tumor area from MRI volumes

3d-slicer-extension monai numpy python pytorch slicer unet vtk

Last synced: 07 May 2026

https://github.com/hiftd22/wpattern

📈 Analyze and visualize stock patterns with wPattern for better trading insights. Simplify your investment decisions through data-driven analysis.

cli finance financial-analysis financial-data matplotlib numpy pandas pattern-recognition python scikit-learn stock-scanner technical-analysis yfinance

Last synced: 29 Apr 2026

https://github.com/manjotkaurgill/agritech

Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.

flask generative-ai insight-generation machine-learning matplotlib mongodb nextjs numpy pandas python scikit-learn seaborn

Last synced: 12 Apr 2026

https://github.com/chandkund/stock-price-prediction-

Predict Tesla stock prices using historical data. The project preprocesses data, applies normalization and standardization, trains a linear regression model, and evaluates its performance. Visualizations include box plots and time series plots.

data-science linear-regression numpy pandas plotly python sklearn sklearn-model

Last synced: 21 Jan 2026

https://github.com/eiichiroito/numpharo

NumPy like tools for Pharo Smalltalk

matplotlib-pyplot numpy pharo pharo-smalltalk smalltalk

Last synced: 18 Jan 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
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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 35 Videos 34 🎲 Statistics & Probability 34 Web 33