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  • Practical Machine Learning

Results for "practical machine learning"


  • N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    A Practical Approach to Timeseries Forecasting Using Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software

    Intermediate · Course · 1 - 3 Months

  • B

    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    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, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • N

    Northeastern University

    Practical AI for Professionals

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, Data Management, Data Preprocessing, Computer Vision, Unstructured Data, Predictive Modeling, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • S

    SAS

    Four Rare Machine Learning Skills All Data Scientists Need

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 4 Weeks

  • E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Data Preprocessing, Model Evaluation, Exploratory Data Analysis, Probability & Statistics

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Machine Learning with Python: Diabetes Prediction

    Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Machine Learning Methods, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Predictive Analytics, Analytics, Classification Algorithms, Pandas (Python Package), Software Installation

    Mixed · Course · 1 - 4 Weeks

Searches related to practical machine learning

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1…789…834

In summary, here are 10 of our most popular practical machine learning courses

  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Machine Learning with Python: Case Studies: EDUCBA
  • A Practical Approach to Timeseries Forecasting Using Python: Packt
  • Real-World Applications & Model Deployment in Java : Board Infinity
  • Statistical Learning for Engineering Part 1: Northeastern University
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Practical AI for Professionals: Northeastern University
  • Four Rare Machine Learning Skills All Data Scientists Need: SAS
  • Machine Learning with PySpark: Edureka
  • Machine Learning in Python: Analyze & Apply: EDUCBA

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