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Results for "classification"


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    E

    Edureka

    Machine Learning with PySpark

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

    Intermediate · Course · 1 - 4 Weeks

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    Universitat Politècnica de València

    Basic Math: Numbers and Terminology

    Skills you'll gain: Taxonomy, Deductive Reasoning, Applied Mathematics

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills 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

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    B

    Board Infinity

    Mastering DeepSeek: From Architecture to Application

    Skills you'll gain: DeepSeek API, Deepseek, Retrieval-Augmented Generation, Model Deployment, AI Enablement, Make.com, Generative Model Architectures, LLM Application, Cloud Deployment, Embeddings, Software Documentation, Unit Testing, Key Management

    Beginner · Course · 1 - 3 Months

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    P

    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Master Decision Trees in R: Build, Predict & Evaluate

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Data-Driven Decision-Making, Statistical Modeling, Classification Algorithms, Plot (Graphics)

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    P

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning: Convolutional Neural Networks with TensorFlow

    Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: Model Evaluation, Data Preprocessing, Workforce Management, Advanced Analytics, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    S

    Simplilearn

    Introduction to CNN Training

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    W

    Whizlabs

    AWS: Model Training , Optimization & Deployment

    Skills you'll gain: Model Deployment, Cloud Deployment, Amazon Elastic Compute Cloud, Model Evaluation, Continuous Deployment, Continuous Integration, Debugging

    Intermediate · Course · 1 - 4 Weeks

1…282930…86

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

  • Machine Learning with PySpark: Edureka
  • Basic Math: Numbers and Terminology: Universitat Politècnica de València
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Mastering DeepSeek: From Architecture to Application: Board Infinity
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Master Decision Trees in R: Build, Predict & Evaluate: EDUCBA
  • Learning Deep Learning: Unit 2: Pearson
  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA

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