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  • Statistical Classification

Results for "statistical classification"


  • P

    Packt

    Building AI Agents – Fundamentals to Advanced

    Skills you'll gain: Email Automation, Agentic Workflows, AI Workflows, Multimodal Prompts, Tool Calling, Calendar Management, Machine Learning Methods, Scheduling, AI Security, Text Mining, Classification Algorithms, JSON

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Transformation, Data Store, Applied Machine Learning, Keras (Neural Network Library), Data Modeling, Machine Learning, Python Programming, Statistical Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Trustworthy AI: Managing Bias, Ethics, and Accountability

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Business Ethics, Machine Learning, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Case Studies, Law, Regulation, and Compliance, Risk Mitigation, Decision Making, Workforce Management, Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    117 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Model Deployment, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Logistic Regression, Anomaly Detection, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Certified Six Sigma Yellow Belt Training

    Skills you'll gain: Minitab, Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Statistical Process Controls, Data-Driven Decision-Making, Process Improvement, Waste Minimization, Project Management, Continuous Improvement Process, Brainstorming, Process Mapping, Quality Assessment, Customer Insights, Sampling (Statistics), Data Collection

    Beginner · Course · 3 - 6 Months

  • D

    Duke University

    Data Modeling and Prediction with R

    Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistics, Data Analysis, Probability & Statistics, Statistical Inference

    Beginner · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Supervised Learning, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Regression Analysis, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular statistical classification courses

  • Building AI Agents – Fundamentals to Advanced: Packt
  • Applied Machine Learning: Johns Hopkins University
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Feature Engineering en Español: Google Cloud
  • Trustworthy AI: Managing Bias, Ethics, and Accountability: Johns Hopkins University
  • Object Localization with TensorFlow: Coursera
  • Foundations of Machine Learning : Fractal Analytics
  • Interpretable machine learning applications: Part 5: Coursera
  • Certified Six Sigma Yellow Belt Training: Packt

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