Data

Tools

Indexes

Applications

Experiments

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/mogankumar/virtual-mouse

A Python-based Virtual Mouse that uses hand gestures for cursor control, clicking, scrolling, and taking screenshots. Powered by OpenCV, PyAutoGUI, and a custom hand tracking module for a touch-free experience.

autopy numpy opencv pyautogui python3

Last synced: 10 Apr 2026

https://github.com/khaymanii/spam_mail_detection_model

This model was built using Python and Logistics Regression algorithm

matplotlib numpy pandas python sckiit-learn

Last synced: 10 Apr 2026

https://github.com/anubhavkumar31/simple-heart_disease_prediction-using-logisticregression

Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).

logistic-regression machine-learning numpy python sklearn sklearn-linear-model sklearn-metrics

Last synced: 10 Apr 2026

https://github.com/jaweria-b/eda-basketball

The Streamlit app analyzes NBA player stats with user-selected filters, offering data download and intercorrelation heatmap.

matplotlib numpy python streamlit

Last synced: 10 Apr 2026

https://github.com/badranalyst/titanic-survival-prediction-full-data-science-project-classification

This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.

classification data-analysis data-science eda exploratory-data-analysis machine-learning matplo matplotlib-pyplot ml model numpy pandas predictive-modeling python seaborn

Last synced: 06 May 2026

https://github.com/elon-fask/nlp_num1

Natural Language Processing with Disaster Tweets

ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing

Last synced: 10 Apr 2026

https://github.com/rama1997/lane-line-detection

Uses computer vision to detects lane lines on the road from images/videos using the POV of a driving vehicle

numpy opencv opencv-python python

Last synced: 10 Apr 2026

https://github.com/azaz9026/data_cleaning

Welcome to the Data Cleaning repository! This collection is dedicated to showcasing techniques and methods for cleaning and preparing datasets for analysis.

data-analysis data-engineering data-structures data-visualization eda feature-engineering machine-learning numpy outliers pandas python seaborn

Last synced: 13 Apr 2026

https://github.com/ahmedabdalkreem/speech-recognition

In this project we deal with audio dataset to make classification between ten audio and make preprocssing in it using Librosa and Scipy then be input of Neural Network Model.

librosa matplotlib neural-network numpy pandas python3 scipy sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/alejoduarte23/reading_data_from_dewesoft

The following repository retrieves sensor data (acceleration and strains) from both local and cloud databases. It processes the data using classes from another repository called Modal Engine for spectral analysis, modal analysis, and signal processing.

dewesoft matplotlib modal-analysis numpy orm scipy signal-processing sql sqlalchemy

Last synced: 07 Jan 2026

https://github.com/fedesgh/parkinson_volatility_spread_on_cedears

Creating a function that returns a graph with the difference between Parkinson's volatility and regular volatility given a certain bounds

numpy pandas pickle seaborn

Last synced: 10 Apr 2026

https://github.com/navindafernando/feature-extraction

Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:

categorical-encoding feature-engineering flask handling-outlier html5 joblib label-encoding machine-learning numpy pandas polynomial-features quantile-transformer scaling

Last synced: 10 Apr 2026

https://github.com/tsungtsetu122/datamining-cifar10-classification

Data mining project on CIFAR-10 extracted features, applying preprocessing, classification models, and evaluation techniques to improve classification performance.

matplotlib numpy pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/crvargasm/moore-penrose-matrix

A small implementation of an algorithm that is capable of computing the Moore-Penrose inverse of any matrix.

numerical-methods numpy python

Last synced: 10 Apr 2026

https://github.com/mohamed15058/text_classification-digital-egypt-pioneers-initiative-project-

Text_Classification(Digital-Egypt-Pioneers-Initiative-Project )

depi mlops nlp nltk numpy panadas python3 twnsorflow

Last synced: 10 Apr 2026

https://github.com/sc0v0ne/ai-discipline-work

AI Discipline Work - Movie recommendation

jupyter-notebook machine-learning numpy pandas python python3

Last synced: 15 Apr 2025

https://github.com/mnitin-reddy/collaborative-filtering-based-recommendation-system

This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.

collaborative-filtering numpy pandas popularity-based-recommendation python recommendation-system scikit-learn

Last synced: 11 Apr 2026

https://github.com/yash-rewalia/airbnb_eda_pandas

The goal of the project is to gather information and analyze the detailed information of the different entries in order to provide insights about the host and price of the property in a particular area as per your preference , type of rooms and number of reviews accordingly.

data data-cleaning data-insights data-preprocessing data-visualization matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026

https://github.com/farhad-here/data-visualization-analysis-dva

This is my data analysis project. Users can use this project to clean and preprocessing the date or data visualization. Individuals can impute or ecnode ther dataset.

altair bokeh data-analysis data-analysis-python io matplotlib numpy pandas plotly python sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/lilivalgo/ml_time_series

This project uses time series data to predict corn crop yield in Colombia

matplotlib numpy pandas scipy seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/hansalemaos/hexarray2decimal

Converts a numpy string array with hex values to int

convert hex int numpy python

Last synced: 05 May 2026

https://github.com/pardhuu66/college-id-validator

FastAPI-based offline College ID Validator with Docker support

base64 dnn docker easyocr fastapi mobilenetv2 numpy onnx onnxruntime opencv pillow pydantic python tensorflow uvicorn

Last synced: 11 Apr 2026

https://github.com/utkarsh251106/cricket-shot-analyzer

Real-time cricket shot analyzer using Python, OpenCV, and MediaPipe. Processes videos frame-by-frame, overlays pose and biomechanical metrics, and outputs an annotated video with JSON evaluation. Also the output video might have "??" in it which is there cause OpenCV can't display degree's symbol.

artificial-intelligence computer-vision deep-learning machine-learning mediapipe numpy python real-time

Last synced: 05 May 2026

https://github.com/jigyasag18/fake-news-prediction-app

The Fake News Prediction App Repository offers a machine learning project that focuses on identifying the authenticity of news articles as fake or real. It uses a dataset of 20,000 articles and employs methods such as TF-IDF vectorization and the Lemmatization algorithm, achieving ~95% classification accuracy with random forest classifier model

data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming streamlit streamlit-webapp vectorization

Last synced: 11 Apr 2026

https://github.com/armahdavi/analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1

PhD Technical Paper 1 - Phase 1 - 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

matplotlib numpy pandas pandas-dataframe pyplot python scipy-stats sklearn

Last synced: 13 Apr 2026

https://github.com/dmarks84/coursework_project_apache-airflow-kafka-on-toll-booth-data

Project for IBM Data Engineering & Python course on ETL & Big Data -- Read in live toll booth data, wrangles and transformed, and wrote into a SQL database

apache-airflow apache-kafka automation dags data-modeling databases eda elt etl mysql numpy pandas pipelines python sql

Last synced: 11 Apr 2026

https://github.com/alexixrugis/perceptronvisualization

Visualization of training and operation of a perceptron written from scratch in numpy

ai machine-learning numpy python

Last synced: 11 Feb 2026

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/vidushibhadana/eda-on-nyc-taxi-data

About Conducting an Exploratory Data Analysis (EDA) on New York City taxi data and visualizing it through countplots, distribution plots (displot), and histograms using Python and it's libraries.

data data-visualization jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 11 Apr 2026

https://github.com/ttwag/p2_gaussian_elimination

A function that encodes the Gaussian Elimination algorithm

algorithm linear-algebra numpy python

Last synced: 29 Apr 2026

https://github.com/iamsaniasingh/heart_disease_prediction

This is my very first machine learning project, where I used a supervised learning algorithm—logistic regression—to predict heart disease. The model was trained and tested entirely on a pre-existing dataset, with no user input involved. The goal was to understand how ML models work and how they can be applied in healthcare predictions.

logistic-regression machine-learning machine-learning-algorithms numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/lucasgleria/seamese-network-algorithm

Este projeto implementa um sistema de busca por similaridade de imagens usando redes siamesas e Triplet Loss em PyTorch. Ele gera embeddings de imagens (MNIST com EfficientNet-B0) para encontrar visuais semelhantes. O foco está na análise visual e no aprendizado de representações no espaço vetorial.

google-colab matplotlib numpy pandas python pytorch timm

Last synced: 11 Apr 2026

https://github.com/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction

With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.

matplotlib numpy pandas plotly python3 scikit-learn xgboost

Last synced: 09 Jun 2026

https://github.com/riju18/from-data-production-to-client-handover

The common tedious problem is to build a data app to demonstrate the data analysis & analytics along with Machine Learning to a client. It was an attempt to do it on small scale in the most powerful & simplest way.

machine-learning matplotlib numpy pandas plotly python seaborn streamlit

Last synced: 30 Apr 2026

https://github.com/lmizner/grokking_data_science

Coding practice for basic data science interview questions in Python

data-science numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/anas436/python

This is Python Programming Language. Here, the basic problems of Python language have been solved. If you can solve these problems then your basic skills will be developed in this language and you will be suitable for doing good projects.

jupyter-notebook jupyterlab numpy pandas pycharm python3 watson-studio

Last synced: 11 Apr 2026

https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure

A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.

eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn

Last synced: 11 Apr 2026

https://github.com/ngangawairimu/data-validation-using-python

Agricultural dataset validated using python code for usage. Building a data pipeline that will ingest and clean data with the press of a button.

jupyter-notebook numpy pandas pytest python

Last synced: 13 Apr 2026

https://github.com/vishnu-vamshii/heart-disease-prediction-using-ml

This project presents an end-to-end data analysis and machine learning pipeline for predicting heart disease using a publicly available dataset. The project includes data exploration, visualization, and implementation of various machine learning models to predict the likelihood of heart disease based on a set of clinical attributes.

machine-learning matplotlib numpy pandas python seaborn sklearn

Last synced: 11 Apr 2026

https://github.com/eljandoubi/genre_classification

Create an ML pipeline for Genre Classification using MLflow.

hydra machine-learning mlflow numpy pandas pandas-profiling pytest scikit-learn scipy wandb

Last synced: 11 Apr 2026

https://github.com/talapanenivarshithchowdary/asteroid-detection-ml

This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.

classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn

Last synced: 11 Apr 2026

https://github.com/nishi1612/knight-tour-problem

IT485 Logic of Inference Project on Knight's Tour. A hamiltonian path problem to determine path of knight to travel entire chessboard with every cell visited only once.

backtracking-algorithm bootstrap flask html knights-tour localhost numpy pygame python tkinter warnsdorff

Last synced: 11 Apr 2026

https://github.com/amanyadav-07/customer-churn-prediction

Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.

accuracy-metrics data-analysis data-visualization logistic-regression machine-learning matplotlib numpy pandas python3 random-forest-classifier seaborn sklearn xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/swarnabhaghosh/house-price-prediction-model

Built an end-to-end regression pipeline to predict house prices using Linear Regression with automated preprocessing (PowerTransform, StandardScaling) via Scikit-learn's Pipeline and ColumnTransformer.

column-transformer linear-regression matplotlib-pyplot numpy pandas pipeline python scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/aksoni07/movie-recommendation

A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.

clustering content-based-filtering data-analysis embeddings jupyter-notebook numpy ollaborative-filtering pandas personalization python recommendation-systems scikit-learn user-item-interactions

Last synced: 11 Apr 2026

https://github.com/rahatmoktadir03/customer-churn-prediction

A machine learning project for predicting customer churn, enabling businesses to identify at-risk customers and develop retention strategies.

business-analytics customer-churn-prediction data-science google-colab machine-learning numpy pandas python sklearn strreamlit xception-model

Last synced: 11 Apr 2026

https://github.com/chintanboghara/rocket-simulation

A comprehensive web-based orbital mechanics simulator with advanced mission planning, real-time tracking, and educational features.

docker flask html javascript numpy plotly python

Last synced: 11 Apr 2026

https://github.com/nachtfeuer/covid19

Python script(s) for visualizing corona data

csv json matplotlib numpy pandas python requests tkinter

Last synced: 05 May 2026

https://github.com/eduardoprofe666/mn-api

🐍📦 Paquete de Python con implementaciones de métodos numéricos

mn-api numerical-methods numpy pandas python scipy simpy tabulate

Last synced: 04 Jan 2026

https://github.com/amanda-ucc/market-tracker

Automated portfolio creator that generates a portoflio which mimics a bench mark index by minimizing the tracking error.

beta covariance numpy pandas scipy sharpe-ratio tracking-error variance yfinance

Last synced: 11 Apr 2026

https://github.com/kahngjoonkoh/randomshapegenerator

A program that will generate images with random shapes and background colours. Can be customized and generated in bulk.

generative-art numpy opencv python threading tkinter

Last synced: 11 Apr 2026

https://github.com/egorumaev/2023-cirrhosis-outcomes

Прогнозирование исхода лечения пациентов с циррозом печени

catboost imblearn iqr lda matplotlib numpy pandas pca phik pipeline sklearn t-sne xgboost

Last synced: 08 May 2026

https://github.com/dastogirrudro/machine-learning-and-deep-learning

This is my thesis project which i have done in varsity.Here i used machine learning and deep learning i used LSTM as deep learning.This can identify aggresive spam message. Here i used pandas scikit-learn and many more framework i used python as a programming language.I used many algorithm for highering the accuracy of my project.

deep-learning lstm machine-learning numpy pandas python scikit-learn

Last synced: 11 Apr 2026

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

This repository contains a notebook implementing a Convolutional Neural Network for multi-class image classification using transfer learning with a pre-trained ResNet-50 model. Covers dataset handling, model architecture customization, training, evaluation, fine-tuning, and external image prediction.

keras matplotlib numpy pil python tensorflow

Last synced: 11 Apr 2026

https://github.com/udhaya2823/dataspark-illuminating-insights-for-global-electronics

✨DataSpark✨ is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.

data-science data-visualization database-management datacleaning exploratory-data-analysis matplotlib numpy pandas powerbi python seaborn sql version-control

Last synced: 11 Apr 2026

https://github.com/andersoncrs/prediccion_precio_vehiculos_statsmodels

Este proyecto utiliza un modelo de regresión lineal para predecir el precio de vehículos basándose en sus características principales. El análisis incluye la definición del problema, exploración y limpieza de datos, conversión de variables categóricas a numéricas, evaluación de correlaciones y entrenamiento del modelo.

analisis-de-datos analisis-exploratorio-de-datos matplotlib numpy seaborn statsmodels visualizacion-de-datos

Last synced: 26 Apr 2026

https://github.com/emhash/numpy-tutorial

Just simple tasks of practice of NumPy library of python

numpy numpy-library numpy-tutorial python

Last synced: 11 Apr 2026

https://github.com/saliola/nonnegative_integer_matrices

code to generate and count nonnegative integer matrices with prescribe row and column sums (aka contingency tables)

cython cython-examples numpy numpy-examples python3

Last synced: 18 Apr 2026

https://github.com/matiassenia/modelo-prediccion-temperatura

Proyecto de machine learning que utiliza TensorFlow para predecir temperaturas en grados Fahrenheit a partir de temperaturas en grados Celsius. Incluye un script de Python para entrenar el modelo y realizar predicciones, así como datos de entrenamiento y visualizaciones

adam-optimizer machine-learning numpy python python3 tensorflow

Last synced: 11 Apr 2026

https://github.com/djdurga/google_play_store_apps_analysis

This data analysis project focuses on exploring and understanding the Google Play Store Apps dataset.

numpy pandas python

Last synced: 11 Apr 2026

https://github.com/kkufieta/carnd-vehicle-detection

Vehicle Detection & Tracking - Self Driving Cars

cv2 hog-features numpy self-driving-car sklearn vehicle-detection

Last synced: 11 Apr 2026

https://github.com/cfbastarz/jupyternotebooks

A collection of several Jypyter notebooks.

dask matplotlib numpy python xarray xesmf

Last synced: 18 Jan 2026

https://github.com/chanmeng666/advanced-neural-network-applications

Practical implementations of perceptron and linear neuron models for classification and regression, with mathematical analysis and visualizations in Jupyter notebooks.

classification data-analysis data-science educational gradient-descent jupyter-notebook linear-neuron machine-learning matplotlib neural-network neural-networks numpy perceptron python regression

Last synced: 03 May 2026

https://github.com/apfirebolt/numpy-and-pandas-examples

Some examples and sample datasets to learn numpy, pandas and other data science libraries in Python

data-analysis jupyter-notebook numpy pandas python

Last synced: 17 Apr 2026

https://github.com/Gregoritsch3/Exercise_Pandas_1

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib,

data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy

Last synced: 01 May 2025

https://github.com/anubagre/predicting-price-of-pre-owned-cars

This project is solution to data science problem based on regression model to predict the price of pre owned cars. Programming language used is Python.

data-science machine-learning numpy pandas price-prediction python seaborn sklearn streamlit

Last synced: 11 Apr 2026

https://github.com/ikbalcaus/HandSketch

Drawing on Canvas with Hand Gestures + AI for Letter Recognition

mediapipe numpy ocr-recognition opencv python pytorch tkinter

Last synced: 31 Mar 2025

https://github.com/ebadshabbir/decision_tree_algorithm

Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling, model evaluation (confusion matrix and accuracy), and visualizations of decision boundaries for both training and test sets.

decision-tree-classifier jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/harmanveer-2546/wafer-fault-detection

The goal is to eliminate manual work in identifying faulty wafers. Opening and handling suspected wafers disrupts the entire process. False negatives result in wasted time, manpower, and costs.

clustering data-transformation feature-selection machine-learning matplotlib numpy pandas python random-forest roc-auc-curve roc-auc-score seaborn sklearn svc xgboost

Last synced: 11 Apr 2026

https://github.com/diegorezm/spc

Analise de espectros de Infravermelho por Transformada de Fourier (FTIR)

ftir-data-analysis numpy python

Last synced: 21 Apr 2026

https://github.com/biasandrade/rede-neural-do-zero-classificacao-binaria

🧠 Rede Neural Artificial construída do ZERO (só NumPy) para detectar fraudes em transações | Forward/Backward Propagation | Sigmoid | Gradiente Descendente

backpropagation binary-classification deep-learning fraud-detection from-scratch gradient-descent machine-learning neural-network numpy python

Last synced: 18 Nov 2025

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/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/bhuvan-s-prasad/streamlit-regression

A machine learning project that predicts housing prices in California using regression techniques. This project includes comprehensive exploratory data analysis, feature engineering, linear regression modeling, and an interactive Streamlit web application for making predictions.

california-housing-price-prediction exploratory-data-analysis linear-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit supervised-learning

Last synced: 11 Apr 2026

https://github.com/faizantkhan/numpy

NumPy Practice Repository Dive into the world of numerical computing with our collection of NumPy exercises. Perfect for beginners and seasoned programmers alike, this repository offers a range of challenges to sharpen your array manipulation and data analysis skills.

data-science library machine-learning numpy numpy-arrays numpy-library numpy-python outlier outlier-detection python pythonlibrarires tutorial

Last synced: 21 May 2026

https://github.com/chirindaopensource/non_linear_forecasting_backcasting

Python implementation of Gourieroux-Jasiak's (2025) mixed causal-noncausal VAR models. Features probabilistic forecasting, nonlinear innovation filtering, and state-dependent IRF analysis for financial time series with explosive dynamics. Enables robust risk assessment and structural analysis of speculative behavior.

bootstrap bubble-analysis financial-modeling forecasting jupyter-notebook monte-carlo nonlinear-modeling numpy pandas python quantitative-finance research-implementation risk-management scipy statistical-modeling time-series uncertainty-quantification var-models

Last synced: 11 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