Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "causal forests"
Skills you'll gain: Regression Analysis, Statistical Analysis, Advanced Analytics, Correlation Analysis, Analytics, Data Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Statistical Inference, Statistics, Variance Analysis, Python Programming
Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Analysis, Computational Thinking, Network Routing
University of California San Diego
Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Processing, Distributed Computing, Performance Tuning, Scalability
- Status: Free
University of London
Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Scatter Plots, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation
University of Alberta
Skills you'll gain: Reinforcement Learning, Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra
Skills you'll gain: Feature Engineering, Advanced Analytics, Predictive Modeling, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Predictive Analytics, Data Validation, Data Analysis, Performance Tuning, Python Programming
Skills you'll gain: Matplotlib, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Data Visualization Software, Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, PyTorch (Machine Learning Library), Jupyter, Python Programming
Duke University
Skills you'll gain: Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Natural Language Processing, Deep Learning, Artificial Neural Networks
Duke University
Skills you'll gain: Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Natural Language Processing, Artificial Neural Networks, Computer Vision
University of Virginia
Skills you'll gain: Usability Testing, Continuous Delivery, Product Testing, Agile Product Development, DevOps, Agile Methodology, User Research, User Story, Prototyping, Product Development, Lean Methodologies, Innovation
Duke University
Skills you'll gain: Deductive Reasoning, Probability, Sampling (Statistics), Statistical Inference, Correlation Analysis, Scientific Methods
Stanford University
Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms
In summary, here are 10 of our most popular causal forests courses
- Regression Analysis: Simplify Complex Data Relationships:Â Google
- Graph Search, Shortest Paths, and Data Structures:Â Stanford University
- Hadoop Platform and Application Framework:Â University of California San Diego
- Foundations of Data Science: K-Means Clustering in Python:Â University of London
- Prediction and Control with Function Approximation:Â University of Alberta
- The Nuts and Bolts of Machine Learning:Â Google
- Deep Learning with Real-World Projects:Â Packt
- Interpretable Machine Learning:Â Duke University
- Explainable Machine Learning (XAI):Â Duke University
- Hypothesis-Driven Development:Â University of Virginia