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

scikit-learn

scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

https://github.com/fadlani-aditya/iris-plant-classification

This project focuses on classifying different species of Iris flowers using the Random Forest algorithm. The dataset, sourced from Scikit-learn, contains four key features: sepal length, sepal width, petal length, and petal width, which are used to predict the flower species (Setosa, Versicolor, and Virginica).

agriculture data-science iris-dataset machine-learning python scikit-learn supervised-learning

Last synced: 01 May 2026

https://github.com/myahninsi/customer-segmentation-recommendation-ml

This project addressed challenges in understanding customer behavior and personalizing shopping experiences for an e-commerce platform. Developed ML solutions including K-Means clustering for segmentation, Random Forest regression for CLV prediction, and collaborative filtering for product recommendations.

collaborative-filtering k-means-clustering pandas python random-forest scikit-learn

Last synced: 01 May 2026

https://github.com/himanshugoyal77/shell-detection-frontend

Fraud detection of companies using Machine learning and django

django scikit-learn

Last synced: 01 May 2026

https://github.com/kristishqau/sentimentanalysis_nlp

A project for sentiment analysis of tweets using various NLP techniques and machine learning models.

datascience jupyter-notebook machine-learning nlp nltk python scikit-learn sentiment-analysis xgboost

Last synced: 01 May 2026

https://github.com/barbarahayd/com410-ml

atividades aula machine learning

decision-tree scikit-learn

Last synced: 01 May 2026

https://github.com/jlee9503/medical-readmission

Conduct an analysis of medical readmission status using hospital patient data and the Social Determinants of Health dataset. Identify key factors influencing readmission rates to provide insights for improving healthcare outcomes.

python random-forest-regression scikit-learn tableau

Last synced: 01 May 2026

https://github.com/maxwelllzh/linearizer

Linearizing parameters for linear regression

data-analysis machine-learning scikit-learn

Last synced: 02 May 2026

https://github.com/sundanc/btcprediction

Predict Bitcoin prices based on historical data using machine learning techniques

bitcoin-prediction keras machine-learning pandas python python3 scikit-learn scikitlearn-machine-learning

Last synced: 02 May 2026

https://github.com/bishopce16/cryptocurrencies

An analysis on cryptocurrencies dataset using unsupervised machine learning, PCA algorithm, and K-means clustering.

hvplot jupyter-notebook pandas plotly python scikit-learn unsupervised-machine-learning visual-studio-code

Last synced: 02 May 2026

https://github.com/moritzkoerber/data_science_posts

This repository hosts the code for my data science related blog posts.

hyperparameter-tuning machine-learning pipeline python scikit-learn

Last synced: 03 May 2026

https://github.com/viniciusds2020/ml_pycaret_classificacao

Sistema de preprocessamento e treinamento de modelos de machine learning utilizando PyCaret. Uma metodologia low-code para processos de MLops

machine-learning mlops preprocessing pycaret python scikit-learn

Last synced: 03 May 2026

https://github.com/alessandromonolo/fraud-detection-binary-classification-model

This project builds a machine learning model to classify fraudulent clients using a banking dataset. Data preprocessing, statistical analysis, and feature selection were performed before training KNN and Random Forest Classifier. Model performance was evaluated using accuracy, precision, recall, and F1-score.

classification-model fraud-detection knn-classification machine-learning pandas python random-forest scikit-learn statistical-analysis

Last synced: 03 May 2026

https://github.com/arrhythmia-detection/authorprovidedfeaturescombineddt

Deploys a vanilla Decision Tree for Arrhythmia classification using Chapman ECG dataset on Arduino UNO board

arduino-uno arrhythmia-classification atmega328p chapman-ecg decision-tree-classifier eloquent scikit-learn

Last synced: 09 Jun 2026

https://github.com/zhenglinlei/zdmp

Industry 4.0 Optimization with Machine Learning AI

industry-4 knn-classification machine-learning pandas python scikit-learn

Last synced: 03 May 2026

https://github.com/apfirebolt/movie_recommendation_using_scikitlearn_and_pyqt5

A movie recommendation system built using KNN model from scikit-learn library. GUI components are powered by pyQt5, a library to create GUI applications in Python

cosine-similarity jupyter-notebook knn-algorithm movie-recommedation pandas python scikit-learn

Last synced: 03 May 2026

https://github.com/furk4nbulut/uygulamalarla-makine-ogrenmesi-ve-derin-ogrenme-atolyesi

Bu repository, Manisa'da gerçekleştirilen BTK Akademi Uygulamalı Makine Öğrenmesi ve Derin Öğrenme Atölyesi'ne ait eğitim sürecini kapsamaktadır. Atölyede katılımcılar, ileri düzey makine öğrenmesi ve derin öğrenme teknikleriyle ilgili teorik ve pratik bilgiler edinmektedir.

matplotlib numpy pandas scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/pramodyasahan/binary-classifier

This repository houses the code for a machine learning model designed to predict customer churn. The model is built using Support Vector Machine (SVM) from the scikit-learn library and incorporates preprocessing, pipeline, and grid search techniques for optimal performance.

numpy pandas scikit-learn

Last synced: 03 May 2026

https://github.com/alestankiewicz/credit-card-fraud-detection

Credit Card Fraud Detection Excercise In Python

pandas plotly python3 scikit-learn xgboost

Last synced: 03 May 2026

https://github.com/arnavk-09/phishing-detection

🎣 Detect Phishing URLs with Data Pre-fitted... API & Web UI

csv data fastapi flask python scikit-learn

Last synced: 03 May 2026

https://github.com/atchayaah/home-value-insights-kc

Data-driven project predicting King County housing prices using EDA, regression models, and ML techniques, developed as part of IBM’s Data Analysis with Python course on Coursera.

joblib matplotlib numpy pandas pickle python scikit-learn seaborn

Last synced: 03 May 2026

https://github.com/lucs1590/commom_segmentations

The purpose of this repository is to document and expose code samples using common threading techniques.

computational-vision machine-learning open-source opencv python scikit-image scikit-learn segmentation sklearn

Last synced: 03 May 2026

https://github.com/ceodaniyal/telecom_customer_churn_prediction

A machine learning project that predicts whether a telecom customer will churn (leave the service) using customer demographics, account information, and service usage. The repository includes data preprocessing, model training (with logistic regression), feature scaling, and example predictions.

classification customer-churn-prediction data-science logistic-regression machine-learning ml-project pandas prediction python scikit-learn streamlit telecom

Last synced: 04 May 2026

https://github.com/codejsha/machine-learning-examples

Examples of machine learning using scikit-learn

machine-learning scikit-learn

Last synced: 04 May 2026

https://github.com/danielwohlr/delivery_time_series

Time series forecasting of food delivery service data

forecasting-time-series python scikit-learn

Last synced: 04 May 2026

https://github.com/homebackend/pdf-title-page-splitter

Splits a pdf based on identified title pages using ML trained model

machine-learning opencv pdf-splitter pdf2image pypdf2 scikit-learn tensorflow

Last synced: 04 May 2026

https://github.com/joel-beck/airbnb-oslo

Price Prediction Models for Airbnb Apartments in Oslo | Winter Term 2021/22

prediction python pytorch scikit-learn

Last synced: 04 May 2026

https://github.com/suguru-n/temp_easyai

学部生向け機械学習体験プログラム

google-colab jupyter-notebook linearregression python scikit-learn

Last synced: 04 May 2026

https://github.com/dakii24/credit-card-fraud-detection

This repository contains a machine learning project focused on detecting fraudulent credit card transactions. The project includes data preprocessing, model training, and evaluation to identify and prevent fraudulent activities.

capstone-project class-imbalance classification-algorithm credit-card credit-card-fraud data-science decision-trees fraud machine-learning open-data python scikit-learn svm svm-classifier

Last synced: 04 May 2026

https://github.com/madhu26sree/diabetes-prediction

This project leverages the Support Vector Machine (SVM) algorithm to predict whether a person is likely to have diabetes or not, using the Diabetes dataset. It covers data preprocessing, model building, evaluation using Python.

machine-learning python scikit-learn

Last synced: 04 May 2026

https://github.com/chathumiamarasinghe/nn-training-model

A comprehensive project for training neural networks to solve real-world problems. This repository includes customizable code for building, training, and evaluating neural network architectures using popular deep learning frameworks.

jupyter-notebook matplotlib numpy phyton scikit-learn

Last synced: 04 May 2026

https://github.com/siddhantborse/atmosviz

Atmos Viz is a Python-based project designed to analyze, visualize, and predict global temperature trends across various cities and countries using time-series analysis and advanced data science techniques. Leveraging historical climate data, this project integrates machine learning models, geospatial mapping, and interactive visualizations to unco

geopandas geospatial-analysis gis matplotlib numpy pandas plotly python scikit-learn seaborn shapefiles time timeseries-analysis timeseries-data

Last synced: 05 May 2026

https://github.com/himanshkr03/comparative_performance_on_fashionmnist

This repository explores various machine learning and deep learning models for classifying images from the Fashion MNIST dataset. It includes data exploration, model training, evaluation, and visualization techniques to gain insights into the classification task.

deep-learning fashion-mnist fine hybrid-model image-classification keras machine-learning scikit-learn tensorflow xgboost-algorithm

Last synced: 05 May 2026

https://github.com/s-matke/eco-forecast

Machine learning model used for predicting European country with most green surplus energy generated

data-science green-energy machine-learning scikit-learn supervised-learning

Last synced: 05 May 2026

https://github.com/marconicivitavecchia/stazione-monitoraggio-ambientale

Codice in MicroPython per ESP32 per il corso tenuto dalla nostra scuola rivolto ai docenti sulla creazione di una stazione di monitoraggio ambientale che copre gli argomenti di Python, IoT ed Intelligenza Artificiale.

ai esp32 micropython micropython-esp32 python school-project scikit-learn

Last synced: 05 May 2026

https://github.com/zafir100100/cancer-stage-prediction

This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.

cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn

Last synced: 05 May 2026

https://github.com/hitthecodelabs/petalanalyticsstreamlit

Web application developed with Streamlit that predicts the Iris flower type based on its physical features

matplotlib model numpy pickle python scikit-learn sklearn streamlit

Last synced: 05 May 2026

https://github.com/smaddanki/pattern-pursuit-challenge

A personal challenge to build a production-ready trading signal system for S&P 500 stocks using deep learning. This project progresses from basic ML models to a complete trading infrastructure, focusing on 5-day forward return prediction and signal generation.

deep-learning machine-learning pytorch quantative-trading quantitative-finance quantitative-research scikit-learn

Last synced: 05 May 2026

https://github.com/teja-1403/coursera-machine-learning-with-python-honors

This project involves building a classifier to predict rainfall for the next day based on weather data from the Australian Government's Bureau of Meteorology. Various machine learning techniques such as Linear Regression, KNN, Decision Trees, Logistic Regression, and SVM were implemented and evaluated.

classification hierarchical-clustering machine-learning regression scikit-learn scipy

Last synced: 05 May 2026

https://github.com/nandinimarepalli/ai_ml_internship_projects

Projects completed during my AI/ML and Data Expert internship, including EDA, machine learning models, and dashboard development using Python, pandas, scikit-learn, and visualization libraries.

matplotlib numpy pandas python scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/vedanty3/bulldozer-price-prediction

A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.

andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm

Last synced: 05 Apr 2026

https://github.com/aryar-06/linear-regression

A Python project demonstrating basic linear regression with gradient descent and matrix operations, alongside scikit-learn comparison.

data-analysis data-preprocessing educational-project gradient-descent linear-regression machine-learning python regression-algorithms scikit-learn

Last synced: 05 May 2026

https://github.com/antoniskl/un-general-debate-corpus-classification

The aim of this project is to classify UNGDC speeches with regards to climate change. As a secondary objective, a correlation is being examined between these speeches, the forestation and the happiness index of the countries.

classification data-science jupyter-notebook machine-learning nlp python regression scikit-learn text-classification text-preprocessing

Last synced: 05 May 2026

https://github.com/kefrankk/ml-fraud-detection

I built a predictive model to detect fraud in financial transactions.

pandas python scikit-learn

Last synced: 05 May 2026

https://github.com/kunalpisolkar24/dsbda_lab

Collection of practical codes for Savitribai Phule Pune University's Data Science and Big Data Analytics Laboratory (310256).

data-analytics data-preprocessing data-science data-wrangling descriptive-statistics linear-regression logistic-regression mapreduce scala scikit-learn sppu-computer-engineering tf-idf

Last synced: 05 May 2026

https://github.com/sevilaymuni/project-no.6-tree-based-models

Random Forest Assisted Suggestions for Salifort Motors Employee Retention: Plan, Analyze, Construct and Execute

data-science decision-trees evaluation-metrics gridsearchcv logistic-regression machine-learning matplotlib python random-forest-classifier scikit-learn seaborn-plots

Last synced: 05 May 2026

https://github.com/pjj11005/ml_with_pytorch_study

[머신 러닝 교과서: 파이토치 편] -> 학습한 코드 저장소

deep-learning graph-neural-networks machine-learning neural-networks pytorch scikit-learn transformer

Last synced: 06 May 2026

https://github.com/grandechowhiskey/fcc-machine_learning-boilerplates

A collection of projects completed as part of the FreeCodeCamp "Machine Learning with Python" certification. These projects focus on implementing machine learning models, data preprocessing, and predictive analysis using libraries like scikit-learn and TensorFlow.

ai ml python3 scikit-learn tensorflow

Last synced: 06 May 2026

https://github.com/keneandita/iris-intel

Iris Flower Classifier is a simple web app built with Streamlit that predicts the species of an Iris flower based on user-input flower features. It uses pre-trained machine learning models including Logistic Regression, K-Nearest Neighbors, SVM, and Decision Tree to make real-time predictions.

iris-classification jupyter-notebook machine-learning python scikit-learn streamlit

Last synced: 06 May 2026

https://github.com/eshansugeesh/fico-score-loan-default-modeling-project

Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.

bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling

Last synced: 06 May 2026

https://github.com/billgewrgoulas/recommendation-systems

Algorithms for joke rating prediction using the joke data-set from Kaggle.

algorithm clustering collaborative-filtering machine-learning numpy pandas recommender-system scikit-learn scypi

Last synced: 06 May 2026

https://github.com/sabin74/boston_house_prediction

This project aims to predict the median value of owner-occupied homes in Boston suburbs using various machine learning regression models. Multiple regression techniques were applied, including Linear Regression, Decision Tree, Random Forest, Gradient Boosting and dimensionality reduction with PCA. Hyperparameter tuning was performed.

boston-housing-price-prediction hyperparameter-tuning kaggle-dataset pca-analysis python3 regression-models scikit-learn

Last synced: 06 May 2026

https://github.com/adesartika33/proyek-analisis-data-dataset-iris

Proyek ini bertujuan untuk menganalisis dataset Iris, salah satu dataset klasik dalam bidang Machine Learning dan Data Science. Dataset ini terdiri dari 150 sampel bunga Iris dari tiga spesies (Setosa, Versicolor, dan Virginica)

classification data-science data-visualization eda exploratory-data-analysis iris-dataset machine-learning python random-forest scikit-learn

Last synced: 06 May 2026

https://github.com/pimakarov/textkd-p4-fewshot-distilbert

📊 Compare few-shot text classification with DistilBERT and TF-IDF + SVM using IMDB data, analyzing performance across various sample sizes.

bert distilbert few-shot-learning nlp python pytorch scikit-learn text-classification transfer-learning trasformer

Last synced: 06 May 2026

https://github.com/tharunkumar666/employee_attrition_prediction

Predict employee attrition using Logistic Regression. Use Python with Pandas and Scikit-learn to analyze factors like salary, satisfaction, and promotion history. Model classifies if an employee will stay or leave, helping HR take proactive retention measures.

pandas python regression-models scikit-learn

Last synced: 06 May 2026

https://github.com/pradeep-r04/spam-email-classification

Spam Email Classification Using NLP and Machine Learning involves building a system to identify and categorize emails as either spam or non-spam (ham). This process typically uses Natural Language Processing (NLP) techniques to analyze and preprocess text data and machine learning algorithms to train a model for classification.

artificial-intelligence machine-learning naive-bayes-classifier nlp pkl python scikit-learn streamlit

Last synced: 06 May 2026

https://github.com/williyam-m/company-registration-trends

Utilized Linear Regression from scikit-learn to predict future company registration trends.

flask matplotlib numpy pandas-python scikit-learn

Last synced: 06 May 2026

https://github.com/lintangwisesa/pdb_mti_ui_lab1_k6

Tugas Lab 1 Pengelolaan Data Besar MTI UI 2023

machine-learning python3 scikit-learn

Last synced: 06 May 2026

https://github.com/bhavyac16/flairifyme

FlairifyMe is a Reddit Flair Detector for r/india subreddit, that takes a post's URL as user input and predicts the flair for the post using a model generated by Logistic Regression.

flair-prediction flask hacktoberfest linear-svm logistic-regression naive-bayes-classifier nltk praw-reddit reddit-flair-detector scikit-learn scraped-data subreddit text-classification

Last synced: 06 May 2026

https://github.com/sahilmate/ebm-breast-cancer-classifier

This repository implements an Explainable Boosting Machine (EBM) model for breast cancer classification using scikit-learn and interpret. The project includes data preprocessing, model training, accuracy evaluation, and feature importance visualization.

breast-cancer-classification data-visualization explainable-boosting-machine feature-importance interpret machine-learning scikit-learn

Last synced: 06 May 2026

https://github.com/rafay-imraan/recommendation-system

A machine learning model that outputs personalized similar movie recommendations for people based on the ones they have rated positively.

machine-learning pandas python scikit-learn

Last synced: 06 May 2026

https://github.com/ccastleberry/hands_on_machine_learning

Notebooks and files created while working through the book Hands on Machine Learning

data-science jupyter-notebook scikit-learn tensorflow

Last synced: 06 May 2026

https://github.com/avtorgenii/ml-playground

A repository for exploring and experimenting with datasets, building machine learning models, and testing various techniques in data preprocessing, feature engineering, and model evaluation.

matplotlib ml pandas scikit-learn

Last synced: 06 May 2026

https://github.com/galaxy092/samsung-innovation-campus-big-data-capstone-project

Samsung Innovation Campus Big Data Capstone Project - Weather Prediction

hadoop jupyter-notebook pandas pyspark scikit-learn sparksql

Last synced: 06 May 2026

https://github.com/samudraneel05/stanford-open-policing

The Stanford Open Policing Project (SOPP) aims to bring transparency to police interactions by collecting and analyzing data on traffic stops across the United States. It accumulates a vast dataset on traffic stops, encompassing details such as demographics, location, and outcomes.

clustering heirarchical-clustering k-means-clustering machine-learning matplotlib pandas python scikit-learn

Last synced: 06 May 2026

https://github.com/kianaabrisham/svm-from-scratch

Linear SVM from scratch with hinge loss + decision boundaries

classification from-scratch fundamentals hinge-loss numpy optimization scikit-learn svm

Last synced: 07 May 2026

https://github.com/taquynhnga2001/regression-calories-burnt-prediction

Develop regression models which can predict the total calories a person has burnt during a workout based on some biological measures.

machine-learning python regression-analysis scikit-learn

Last synced: 07 May 2026

https://github.com/kirillshiryaev61/customer_activity_prediction

Прогнозирование снижения покупательской активности в интернет-магазине. Модель на основе ML выявляет клиентов с риском оттока для повышения удержания. Учебный проект.

jupyter pandas python scikit-learn

Last synced: 07 May 2026

https://github.com/ayaarbi/prediction_des_maladies_cardiovasculaires_avec_ml

Ce projet, développé au sein de cours de Machine Learning, utilise des algorithmes de classification supervisée pour prédire la présence de maladies cardio-vasculaires à partir de données médicales publiées sur Kaggle.

cardiovascular-diseases jupyter-notebook machine-learning matplotlib pandas python scikit-learn

Last synced: 07 May 2026

https://github.com/z-fran/walmart-store-sales-forecasting

Data analysis and machine learning solution in Python for the Kaggle competition Walmart Recruiting - Store Sales Forecasting.

machine-learning sales-analysis sales-forecasting sales-prediction scikit-learn walmart-sales-forecasting

Last synced: 07 May 2026

https://github.com/govind-prakash/machinelearning

A collection of my machine learning projects, tutorial exercises, algorithm implementations, and related code.

decision-trees gradientboostinclassifier linear-regression logistic-regression scikit-learn unsupervised-learning

Last synced: 07 May 2026

https://github.com/tony123105/comp4423_garbage_classification

Garbage classification using traditional machine learning approaches (HOG, LBP, SIFT features with SVM, KNN, Random Forest classifiers) and an ensemble method to categorize waste into 10 types.

computer-vision feature-extraction garbage-classification hog image-classification knn lbp machine-learning opencv python random-forest scikit-learn sift svm

Last synced: 07 May 2026

https://github.com/sumdiboii/loan-prediction-decision-trees

A Decision Tree Classifier was implemented to predict personal loan acceptance using a dataset of 5,000 customers. Key features included income, education, mortgage, and credit card usage. The model achieved 97% accuracy, with 92% precision and 76% recall for positive loan predictions, validated using a classification report and confusion matrix.

classification data-visualisation decision-trees loan-prediction machine-learning python scikit-learn supervised-learning

Last synced: 07 May 2026

https://github.com/andrewsy1004/linear-regression-model-for-house-price-prediction

A linear regression model to predict house prices based on features like size, location, and number of rooms. This project demonstrates the application of machine learning in real estate price estimation

linear-regression python scikit-learn xgbregressor

Last synced: 07 May 2026

https://github.com/mwasifanwar/automl_framework

Comprehensive AutoML framework that automates data preprocessing, feature engineering, model selection, hyperparameter tuning, and deployment. Features neural architecture search and automated data cleaning pipelines.

automl automl-algorithms data-science data-science-projects feature-engineering feature-engineering-algorithm feature-engineering-ml hyperparameter-optimization machine-learning machine-learning-algorithms machine-learning-models mlops mlops-workflow python scikit-learn scikit-learn-python

Last synced: 07 May 2026

https://github.com/jimmymugendi/bulding-a-decision-tree-to-predict-customer-churn

This repo desribes bulding a decision tree to predict customer churn in a given organisation

accuracy-score decision-tree-classifier matplotlib-pyplot numpy pandas-dataframe scikit-learn

Last synced: 07 May 2026

https://github.com/cnoret/hexa-watts

Interactive data visualization and machine learning app for energy consumption analysis and prediction in France, built with Streamlit. (Text in French)

data-visualization electricity-forecasting energy-analysis france machine-learning scikit-learn streamlit

Last synced: 07 May 2026

https://github.com/moustafamohamed01/mall-customer-segmentation-data

Customer segmentation using K-Means clustering based on annual income and spending score.

data-science data-visualization k-means-clustering machine-learning python scikit-learn unsupervised-learning

Last synced: 08 May 2026

https://github.com/thekartikeyamishra/data-preprocessor

A Google Colab module for interactive data preprocessing. Handles missing values, categorical encoding (One-Hot, Label), and numerical scaling (Standard, MinMax). Outputs a cleaned dataset

ipywidgets numpy pandas python scikit-learn

Last synced: 08 May 2026

https://github.com/jatin-mehra119/churn_modeling

This repository is dedicated to predicting customer churn using machine learning techniques. It includes comprehensive scripts for data preprocessing, model training, and evaluation, along with detailed visualizations and insights.

classification-model datavisualization pandas scikit-learn

Last synced: 08 May 2026

scikit-learn Awesome Lists
awesome-python-data-science 382 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 55 Machine Learning 43 General 35 Data Manipulation 29 Deep Learning 28 Model Explanation 26 Reinforcement Learning 24 Optimization 22 Visualization 18 Graph Machine Learning 17 Feature Engineering 16 Time Series 16 Probabilistic Methods 13 Computer Vision 12 Computer Audition 9 Computations 9 Natural Language Processing 9 Deployment 8 Distributed Computing 7 Experimentation 7