Results for "random+forests"
Status: NewStatus: Free TrialSkills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Status: NewStatus: PreviewSkills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Apache Hive, Big Data, JSON, Case Studies, Economics, Policy, and Social Studies, Apache Hadoop, People Analytics, Policty Analysis, Research, and Development, Analytics, Data Analysis, Social Sciences, Data-Driven Decision-Making, Data Preprocessing, Data Processing, Business Analytics, Data Transformation, Query Languages, Debugging, Demography
Status: NewStatus: Free TrialPackt
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation
Status: NewStatus: Free TrialSkills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
What brings you to Coursera today?
Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)
Status: Free TrialLearnQuest
Skills you'll gain: Model Evaluation, Random Forest Algorithm, Keras (Neural Network Library), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Classification Algorithms, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
Status: Free TrialSkills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Decision Tree Learning, Random Forest Algorithm, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning
Status: NewStatus: Free TrialDartmouth College
Skills you'll gain: Classification Algorithms
Status: NewStatus: PreviewSkills you'll gain: Model Evaluation, Data Preprocessing, Workforce Management, Advanced Analytics, Classification Algorithms
In summary, here are 10 of our most popular random+forests courses
- AI Machine Learning with R & Python Projects:Â EDUCBA
- Python: Implement & Evaluate Random Forests for ML:Â EDUCBA
- Spark and Python for Big Data with PySpark:Â EDUCBA
- Big Data with Hadoop: Apply MapReduce, Pig & Hive:Â EDUCBA
- Recommender Systems:Â Packt
- Machine Learning with R: Build, Analyze & Predict:Â EDUCBA
- Machine Learning: Random Forest with Python from Scratch©: Packt
- Neural Networks and Random Forests:Â LearnQuest
- Machine Learning with Scikit-learn, PyTorch & Hugging Face:Â Coursera
- The Nuts and Bolts of Machine Learning:Â Google
