Professional Certificate
IBM
Build toward a degree
Professional Certificate
DeepLearning.AI
Specialization
DeepLearning.AI
Course
Professional Certificate
IBM
Build toward a degree
Professional Certificate
Multiple educators
Specialization
Build toward a degree
Professional Certificate
Professional Certificate
Northeastern University
Course
Course
O.P. Jindal Global University
Build toward a degree
Course
The language used throughout the course, in both instruction and assessments.
DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Statistical Modeling, Data Transformation
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning
Build toward a degree
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
Intermediate · Professional Certificate · 3 - 6 Months
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Generative AI, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing, Unsupervised Learning, Natural Language Processing, Artificial Neural Networks, Reinforcement Learning
Intermediate · Course · 3 - 6 Months
Northeastern University
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unstructured Data, Probability & Statistics, Dimensionality Reduction, Algorithms
Intermediate · Course · 1 - 3 Months
Coursera
Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing
Intermediate · Course · 1 - 4 Weeks
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
Beginner · Specialization · 1 - 3 Months
Skills you'll gain: Unsupervised Learning, Supervised Learning, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Dimensionality Reduction, Regression Analysis, Decision Tree Learning, Classification And Regression Tree (CART), Statistical Modeling
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Generative Model Architectures, Deep Learning, Data Analysis, Statistical Methods, Applied Machine Learning, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months
University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning
Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics
Beginner · Course · 1 - 4 Weeks