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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/rezapace/machine-learning-sound-detection

Welcome to the Machine Learning Detection Sound project! This project harnesses the power of machine learning to analyze car sounds, enabling the detection of vehicles based on their audio signatures.

colab-notebook googlecolab jupyter-notebook machine-learning numpy pathlib python python3 sound source tensorflow voice voice-recognition

Last synced: 09 Apr 2026

https://github.com/sunilvarma-l/zomato-data-analysis-using-python

its a Python-based project to analyze and visualize Zomato restaurant data. This project explores various aspects of restaurant data, such as customer reviews, restaurant ratings, locations, and cuisines, with the aim of uncovering insights and trends in the food industry.

googlecollab matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/avs123a/image-edge-detection-demo

Demo of image edges detection using different operators, norms and custom masks

demo edge-computing edge-detection image-analysis image-manipulation image-processing jupyter-notebook numpy python python27 python3

Last synced: 04 Feb 2026

https://github.com/erikbrinkman/homeotopy

A python library for computing homeomorphisms between some common continuous spaces

homeomorphism numpy

Last synced: 10 Apr 2025

https://github.com/djpetti/pyunits

Unit-aware Python with dimensional analysis support.

dimensional-analysis numpy python36 python37 python38 scientific-computing unit-conversions

Last synced: 17 Jan 2026

https://github.com/mrmalik2512/catsvsdog.github.io

A CNN model integrated with flask backend the project is trained on image data of dogs and cats and integrated with a website predicts the given image is dog or a cat

deep-learning numpy python scikit-learn tensorflow

Last synced: 09 Apr 2026

https://github.com/kahleryasla/signal-convolution

implementation of signal convolution in Python using both a custom function and NumPy's built-in convolve function. Also includes a function for recording and playing audio using the sounddevice library.

audio-recorder convolution matplotlib numpy python signal-processing sounddevice

Last synced: 02 Mar 2025

https://github.com/subhas-pramanik-09/car-detection-and-counting

This project counts the number of cars passing through a designated line in a video file using OpenCV and background subtraction techniques.

machine-learning numpy object-detection opencv

Last synced: 13 Apr 2026

https://github.com/azaz9026/machine_learning_algorithms

Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.

machine-learning machine-learning-algorithms numpy pandas python3 seaborn sklearn-library

Last synced: 12 Apr 2026

https://github.com/shivjotchoudhary/shivjot-core

High-performance Python utilities for AI/ML workflows, computer vision, and enhanced Pandas/NumPy data engineering.

computer-vision data-science machine-learning numpy pandas python

Last synced: 18 Apr 2026

https://github.com/gitluffywd/advanced_video_stabilization_and_roi_pixel_analysis

This repository offers tools for advanced video stabilization and pixel analysis, enhancing your video processing capabilities. Explore features like optical flow tracking and ROI selection to dive deeper into your video data. 🛠️🎥

data-structures debugging english-language git github html markdown numpy opencv project-management python

Last synced: 20 Jan 2026

https://github.com/iwitaly/aws-lambda-docker-builder

Docker image for building packages for AWS Lambda with Python environment

aws aws-lambda docker docker-image numpy python python3

Last synced: 09 Apr 2026

https://github.com/liviuxyz-ctrl/financialportofoliosimulator

FinancialPortfolio is your financial planning ally, helping you manage portfolios, calculate future values, and visualize performance, all with user-friendly ease🚀

matplotlib numpy python simulation

Last synced: 12 Apr 2026

https://github.com/bhattbhavesh91/numpy-performance-test

Comparing the performance of Base Python Square root function with a numpy equivalent

list numpy python

Last synced: 20 Apr 2026

https://github.com/L-Gre/TradeFX-AI

A Python-based project exploring algorithmic trading strategies, including backtesting, real-time data integration, and predictive modeling with TensorFlow and Keras. Key topics include technical indicators, risk management, and leveraging AWS and broker APIs for automated trading.

algorithmic-trading aws backtesting broker-api keras machine-learning matplotlib numpy pandas portfolio-optimisation python real-time-data-integration risk-management technical-indicators tensorflow

Last synced: 26 Sep 2025

https://github.com/subhamsarangi/visualize

Data Visualizations using Python

bokeh matplotlib numpy pandas pyplot python3 seaborn

Last synced: 07 Apr 2026

https://github.com/ishtufinquant/portfolio-optimizer

Optimizes stock portfolios using simulation and real-world constraints (SLSQP).

backtesting finance numpy pandas portfolio-optimization python quant scipy yfinance

Last synced: 12 Apr 2026

https://github.com/elmezianech/email-spam-ham-classifier-nb-simple

Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.

countvectorizer emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

Last synced: 07 Apr 2026

https://github.com/ramyacp14/global-warming-analysis

Analyzes and visualizes global temperature data to identify climate change trends. The project includes global and seasonal temperature trend analysis, country-wise and city-specific temperature visualizations, and geospatial analysis with interactive maps and heatmaps.

data-visualization folium geospatial-analysis jupyter-notebook matplotlib numpy opencage-geocoder pandas plotly python seaborn

Last synced: 07 Apr 2026

https://github.com/saif-gitreps/face-mask-detection

A CNN classification model scoring 94% accuracy built from scratch using a dataset that detects if an image of a person has Mask on.

cnn-classification image-classification image-processing kaggle keras numpy pandas

Last synced: 09 Apr 2026

https://github.com/prajakta1321/authencheck

Amdocs Gen AI Graduate Hackathon 2024-25- A comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media

api bert-fine-tuning flask-application matplotlib ngrok-server nlp nlp-machine-learning numpy pandas python3 scikit-learn seaborn wandb

Last synced: 05 Apr 2026

https://github.com/harmanveer-2546/house-price-prediction-

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.

catboost-classifier linear-regression machine-learning matplotlib numpy pandas python random-forest seaborn svm

Last synced: 09 Apr 2026

https://github.com/ashishsingh789/bcg_virtual_internship

This repository showcases my BCG X virtual internship project on customer churn analysis for PowerCo, covering business understanding, EDA, feature engineering, and modeling using Python and machine learning.

data-manipulation data-science dataanalysis datavisualization eda machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/sultanazhari/the-effect-of-weather-on-travel-frequency

Zuber Company need to know passenger preferences and external effect on the trip. As an Data Analyst we're provide actual data who has affect on travel frequency.

matplotlib-pyplot numpy python3 scipy seaborn

Last synced: 03 Aug 2025

https://gitlab.com/Makman2/scipy-steadystate

SciPy extension modules for general purpose steady-state solvers and optimizations for differential state-equations!

numpy optimization scipy steady-state

Last synced: 07 Oct 2025

https://github.com/thchilly/mlds102_py_exercises

Complete exercise sets from MLDS Practical Data Science and Applications course

data-science matplotlib numpy pandas python scikit-learn scipy tensorflow

Last synced: 06 Apr 2026

https://github.com/mobinabatebi/electricity_consumption_project

The project aimed at estimating electricity consumption in administrative offices, along with analyzing the impacts of such consumption on power outages, is critical for addressing the pressing issue of summer electricity shortages.

jupyter-notebook numpy pandas python

Last synced: 28 Sep 2025

https://github.com/jose-zothner-meyer/finance-individual-loans

A comprehensive analysis of a financial institution's loan portfolio using Python, focusing on data preprocessing, exploratory data analysis (EDA), and feature engineering.

credit data-science data-visualization eda exploratory-data-analysis finance jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn

Last synced: 09 Apr 2026

https://github.com/abdulsamie10/pythonbasics

This repository contains few tasks, which I developed just to get a strong grip on Python Programming Langauge.

ai labtasks lambda numpy python pythonlab

Last synced: 20 Apr 2026

https://github.com/rajesh9943/developing-a-bike-buyer-sales-report-dashboard-using-excel

This dataset has details of 1000 users from different backgrounds and whether or not they buy a bike. This data can be used to build the dashboard in Google Sheets. There are some NA (Null / Empty) values injected in the dataset. Use this dataset for Data Cleaning, Exploration, and Visualization.

excel google-sheets numpy pandas-library python3

Last synced: 17 May 2026

https://github.com/christabelsakyi/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.

machine-learning numpy pandas plotly python sklearn streamlit

Last synced: 09 Apr 2026

https://github.com/thavinduushan/linear-regression

A linear regression model to predict premium price of an insurance. The dataset includes around 1,000 observations. The project, aimed at learning, was implemented in Jupyter notebooks using NumPy, Matplotlib, Pandas, Keras, and TensorFlow.

matplotlib numpy pandas python tensorflow

Last synced: 09 Apr 2026

https://github.com/purcellcjp/credit-risk-classification

This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.

machine-learning numpy pandas-dataframe python scikit-learn

Last synced: 12 Apr 2026

https://github.com/rahulsm20/car-data

A data analytics project that involves analyzing a car dataset that includes information on various car brands, years, prices, mileage, and fuel types, in order to gain insights into the car market.

data-analysis data-analytics matplotlib numpy pandas python

Last synced: 09 Apr 2026

https://github.com/lyubov0406/data_analyst_portfolio

В репозитории собраны пет-проекты, демонстрирующие мои навыки в аналитике данных

data-analysis matplotlib numpy pandas portfolio python scipy seaborn sql tableau visualization

Last synced: 09 Apr 2026

https://github.com/sudip-13/plant-disease-detection

Plant disease detection from leaf uses machine learning to identify diseases for early intervention

cloudinary css docker jwt-token keras matplotlib-pyplot mongodb nodejs numpy reactjs tensorflow tensorflow-serving

Last synced: 09 Apr 2026

https://github.com/anupreet02/deep-learning-challenge

The objective of this analysis is to develop a deep learning model capable of predicting whether a charity funded by Alphabet Soup is likely to be successful. The model is built using the charity dataset, which contains various features related to each charity, and is used to classify charities as successful or not based on these features.

numpy pandas sckit-learn tensorflow

Last synced: 12 Apr 2026

https://github.com/zalkklop/lvsm

Official code for "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias" (ICLR 2025 Oral)

attention-mechanisms deep-learning github-config large-view-synthesis matplotlib multi-label-classification nltk numpy one-vs-rest python seaborn sql tensorflow transformers

Last synced: 09 Apr 2025

https://github.com/paulinhok14/csgo-datascience-project

📊 Analysis of CS:GO grenade usage patterns and their impact on match outcomes using data science and statistical methods.

matplotlib mlflow numpy python scikit-learn scipy seaborn

Last synced: 30 Dec 2025

https://github.com/mandeep04sharma/ev-cars-analysis---python

This project dives deep into electric vehicle specifications and performance using Python. It involves data cleaning, filtering, statistical analysis, outlier detection, and hypothesis testing to uncover meaningful insights.

matplotlib numpy pandas python scipy

Last synced: 09 Apr 2026

https://github.com/redinfinitypro/ai_projects

Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.

newspaper nltk numpy python random sklearn string warnings

Last synced: 20 Jul 2025

https://github.com/urvee1810/bitcoin-price-forecasting-using-arma

The analysis reveals the challenges of predicting Bitcoin prices during highly volatile periods and demonstrates how traditional time series models perform under different market conditions. The project includes comparative analysis of model performance during stable and volatile market phases.

arima arma augmented-dickey-fuller-test feature-engineering machine-learning matplotlib mplfina numpy pandas python random-forest randomforestregressor scikit-learn seaborn statsmodels time-series-analysis

Last synced: 06 Mar 2026

https://github.com/omdoshi13/pricing-of-laptops-using-ml

Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for Pricing of Laptops dataset.

data-analysis data-analysis-project datascience google-colab jupyter-notebook machine-learning matplotlib model-evaluation model-refinement numpy pandas python scikit-learn

Last synced: 09 Apr 2026

https://github.com/harmanveer-2546/sentiment-analysis-of-amazon-fine-food

For this project, machine learning algorithms are used on amazon fine food reviews dataset to analyze if the given review is a positive review or a negative review.

mathplotlib nlp-machine-learning ntlk numpy pandas pipeline python roberta-model seaborn transformer vader-sentiment-analysis

Last synced: 09 Apr 2026

https://github.com/dimits-ts/computational_statistics

Fundemental ML algorithm mathematics, algebraic and Python implementations, data-based problem solving

applied-mathematics machine-learning numpy regression statistics

Last synced: 14 May 2026

https://github.com/renukadhule/crop_production_python_analysis

This project analyzes crop production data in India from 1997 to 2015, identifying trends, seasonality, and top-performing states and crops. The insights aim to guide improvements in agricultural productivity and policy decisions.

matplotlib numpy pandas python

Last synced: 12 Apr 2026

https://github.com/BiocPy/mopsy

Matrix operations

matrix numpy scipy

Last synced: 03 Oct 2025

https://github.com/prashhhant213/exploratory-data-analysis-for-multinational-retail-corporation

Analysis via CLT and Visualization on Multinational Retail Corporation's data to provide insights and recommendations to improve their userbase.

math matplotlib numpy pandas python scipy-stats seaborn stats

Last synced: 09 Apr 2026

https://github.com/lmizner/codecademy_life_expectancy

Calculate quartiles, quantiles, and the inter-quartile range (IQR) for a variable

histogram jupyter-notebook matplotlib-pyplot numpy pandas python quantiles quartiles

Last synced: 09 Apr 2026

https://github.com/raghulrajn/machine-learning-d-r-y

This repository contains quick python scripts that are repeatedly used in EDA on dataset

data-science numpy pandas python

Last synced: 09 Apr 2026

https://github.com/samanthalang/samanthalang_portfolio

Une data analyste avec la vision d'une consommatrice et la stratégie d'une marketeuse.

bigquery excel figma mysql notebook numpy pandas postgresql powerbi powerquery python sql sqlite wordpress

Last synced: 09 Apr 2026

https://github.com/adirbella37/safety-analytics-project

Final project in Safety Management: analytics and predictive modeling for occupational incidents. Includes EDA, logistic regression, Poisson/Negative Binomial with overdispersion checks, ROC/AUC, and prediction exercises.

classification data-visualization drunk-and-drive eda logistic-regression matplotlib negative-binomial numpy occupational-safety overdispersion pandas poisson-regression python road-safety roc-auc scikit-learn seaborn statmodels

Last synced: 09 Apr 2026

https://github.com/sandyg6/breast-cancer-classification

Building a Breast cancer classification model using Random Forest Classifier and deploying it to a web application using Flask framework

flask html-css-javascript numpy pandas python random-forest-classifier

Last synced: 05 Apr 2026

https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis

This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R

classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow

Last synced: 02 Feb 2026

https://github.com/aasmirnov-webdev/data_science_projects

Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".

bert catboost data-science database lgbm mashine-learning matplotlib numpy pandas python pytorch scikit-learn scipy seaborn sql xgboost

Last synced: 06 Apr 2026

https://github.com/pradeep-r04/attendiq

AttendIQ is a Face Recognition Attendance System designed to automate and streamline the attendance process with precision and ease. By leveraging real-time face detection and recognition technology, AttendIQ eliminates the need for manual roll calls or ID-based check-ins. The system captures facial data during a quick registration process .

csv cv2 kneighborsclassifier numpy os pandas pickle python scikit-learn streamlit time

Last synced: 02 Apr 2026

https://github.com/ars-sg/python_projects

A collection of diverse Python projects. Each project is meant to highlight different aspects of Python, from data analysis and web development to automation and machine learning. Feel free to explore the code, contribute, or reach out if you have any questions or collaboration ideas!

machine-learning matplotlib numpy pandas python seaborn streamlit

Last synced: 09 Apr 2026

https://github.com/blackcub3s/msc-finalthesis

The most important programming files, code functions and data processing pipelines for the Machine learning final thesis of my Master's degree. Also, the LaTeX code of the thesis.

data-analysis latex machine-learning numpy python sklearn

Last synced: 09 Apr 2026

https://github.com/redreaper420/secret-qr-code-injector

Script for secret QR code injection into PNG images.

image-manipulation numpy pillow png python qrcode steganography

Last synced: 14 May 2026

https://github.com/ahmedabdalkreem/diabetes

Complete project of people that have diabetes and show what features that explain that person be sick.

bagging-ensemble classification descision-tree ensemble logistic-regression matplotlib numpy pandas python3 sklearn svm voting-classifier

Last synced: 05 Apr 2026

https://github.com/aravinda-1402/covid-detection-model-using-chest-x-ray

The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.

classification cnn covid flask keras numpy pandas tensorflow

Last synced: 09 Apr 2026

https://github.com/mike014/chatbot_app

Chabot is an application with a graphical user interface that uses various natural language processing (NLP) techniques to tokenize, stem, find stop words, and apply regular expressions to user-input text. The interface is built using Tkinter.

deep-learning dialogpt keras-neural-networks keras-tensorflow knn machine-learning-algorithms ml natural-language-processing nlp nltk nltk-python numpy pca python seq2seq tensorflow textpreprocessing tk tokenizer

Last synced: 09 Feb 2026

https://github.com/jahanostg/healthguard_with-smart-ai-diagnosis-hub

This project is a Flask-based platform for patients, donors, and doctors, integrating hospital management in one solution. It uses Machine Learning models for predictive health analysis and Power BI for interactive dashboards. Through this project, I enhanced my skills in full-stack development, applied ML, and healthcare data solutions.

css flask-api google-colaboratory-notebooks html5 js machine-learning mysql numpy pandas pkl-model powerbi python-3

Last synced: 09 Apr 2026

https://github.com/ibrahimhabibeg/multimedia-project

Turn images monochrome and create transition between two images

canvas image-processing multimedia numpy pillow python react typescript vite

Last synced: 11 Apr 2026

https://github.com/ananupam/eda-stock_market

An Exploratory Data Analysis project done on Financial data read from a search engine (yahoo) to predict the trends of stocks of 4 Tech companies.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 06 May 2026

https://github.com/vipinchaudhary31122002/valuevanguard

ValueVanguard is a machine learning project for accurate house price predictions. Using advanced algorithms and real-world data, it empowers users to analyze and forecast property values efficiently. Perfect for developers, data enthusiasts, and real estate professionals. 🏠📈

machine-learning matplotlib numpy pandas python sklearn streamlit

Last synced: 12 Apr 2026

https://github.com/1ayanabil1/100-days-of-python-bootcamp

Join me on my journey to code in Python every day for 100 days! 🐍 This challenge is designed to sharpen my programming skills, explore Python libraries, and build cool projects along the way.

data-structures data-structures-and-algorithms data-visualization django flask machine-learning matplotlib numpy pandas python seaborn web-development

Last synced: 09 Apr 2026

https://github.com/ravi0529/e-commerce-annual-spend-model

A basic Linear Regression model for predicting annual customer's spending

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn scipy

Last synced: 09 Apr 2026

https://github.com/dahsie/machine_learning_from_scratch

This project aims to implement some machine learning basic techniques(e.g. MinMaxScaler, StandardScaler, TD-IDF, PCA, Logistic Regression, LDA, KNN, Naive Bayes Classifier) using only pyton, numpy and pandas. This will enable me to have hone my data scientist skills

classification clustering data data-processing datascience machienlearning nlp nltk numpy pandas python regression

Last synced: 04 May 2026

https://github.com/lefteris-souflas/the-algorithmic-approach-to-winning-guess-who

This repository provides a systematic approach to winning the "Guess Who?" game through advanced machine learning techniques. It offers a comprehensive methodology for enhancing gameplay strategy and optimizing decision-making processes with meticulous attention to detail.

decision-tree drawio gradient-boosting graphviz-dot lightgbm machine-learning matplotlib numpy pandas python random-forest scikit-learn

Last synced: 09 Apr 2026

https://github.com/sk-g/mnist_beginners

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow

Last synced: 09 Apr 2026

https://github.com/faisal-khann/banking_portfolio_risk_analysis

This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.

data-manipulation eda matplotlib numpy pandas powerbi python seaborn

Last synced: 21 Aug 2025

https://github.com/prateekrajsrivastav/ml-intern-iris-flowers-classification

TASK : 2 Iris Flowers Classification : "Predict the different species of flowers on the length of there petals and sepals only Jupyter notebook code."

machine-learning matplotlib numpy python scikitlearn-machine-learning seaborn

Last synced: 10 May 2026

https://github.com/kasraskari/learn-python-codes

A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.

jupyter-notebook matplotlib matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python-learning python-tutorial python-tutorials scipy scipy-tutorial tutorials

Last synced: 09 Apr 2026

https://github.com/nellyndj52/breast-cancer-classification-ml

This project aims to build a machine learning models to predict whether a tumor is malignant or benign based on the Breast Cancer dataset. Various classification algorithms are tested, including Logistic Regression, Random Forest, and Support Vector Machine (SVM).

breast-cancer cancer dataset flask-api heroku-deployment lime machine-learning mlp-networks numpy perceptron-neural-networks pickle segmentation support-vector-machines svm

Last synced: 03 Apr 2025

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