Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Explore the Library Course Catalog
- Status: Preview
University of Washington
Skills you'll gain: Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Feature Engineering, Linear Algebra, NumPy, Algorithms
Skills you'll gain: Amazon Web Services, Amazon Elastic Compute Cloud, Artificial Intelligence, Amazon S3, Serverless Computing, AWS Identity and Access Management (IAM), Natural Language Processing, Cloud Services, Application Deployment, Cloud Security
- Status: Free Trial
Corporate Finance Institute
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Data Transformation, Data Import/Export, Data Manipulation, Data Cleansing, Pandas (Python Package), Data Quality, Scikit Learn (Machine Learning Library), Data Analysis, Data Validation
- Status: Free Trial
Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Natural Language Processing, Time Series Analysis and Forecasting, Predictive Modeling, Machine Learning, Data Science
- Status: Preview
DeepLearning.AI
Skills you'll gain: Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence, Machine Learning, Time Series Analysis and Forecasting, Algorithms
- Status: Free Trial
Duke University
Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization, Predictive Modeling, Data Visualization Software, Scatter Plots, Data Manipulation, Data Science, Data Storytelling, Regression Analysis, Data Processing, Data Cleansing, Classification And Regression Tree (CART), Statistical Modeling, Histogram, Statistical Inference, Machine Learning Algorithms, Data Analysis, Python Programming
- Status: Preview
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Deep Learning, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms
- Status: Free Trial
Board Infinity
Skills you'll gain: User Interface (UI) Design, User Interface and User Experience (UI/UX) Design, HTML and CSS, Front-End Web Development, Bootstrap (Front-End Framework), Responsive Web Design, React.js, Javascript, Web Development, Back-End Web Development, Semantic Web
- Status: Preview
Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Generative AI, Deep Learning, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Natural Language Processing, Text Mining
Coursera Project Network
Skills you'll gain: R Programming, Data Analysis
- Status: Preview
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining, Machine Learning
- Status: Free Trial
Skills you'll gain: React Native, Mobile Development, Mobile Development Tools, React.js, iOS Development, Application Frameworks, Development Environment, Android Studio, Cross Platform Development, JavaScript Frameworks, User Interface (UI), User Interface (UI) Design, Cascading Style Sheets (CSS)
Library learners also search
In summary, here are 10 of our most popular library courses
- 머신 러닝: 회귀 모델: University of Washington
- Chatbots Development with Amazon Lex: Packt
- Data Prep for Machine Learning in Python: Corporate Finance Institute
- Introduction to RNN and DNN: Packt
- النماذج المتعاقبة: DeepLearning.AI
- Data Visualization and Modeling in Python: Duke University
- Modèles de séquence: DeepLearning.AI
- Crafting User Interface - End to End Web Development: Board Infinity
- Encoder-Decoder Architecture - Français: Google Cloud
- Job Shop Scheduling Using MILP Optimization on RStudio: Coursera Project Network