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  • Imooc 102 Mastering American E Learning

Results for "imooc102: mastering american e-learning"


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    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.6
    Rating, 4.6 out of 5 stars
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    14 reviews

    Mixed · Course · 1 - 4 Weeks

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    University of Illinois Urbana-Champaign

    Literacy Teaching and Learning: Aims, Approaches and Pedagogies

    Skills you'll gain: Teaching, Differentiated Instruction, Pedagogy, Instructional Strategies, Human Learning, Cultural Diversity, Research, Student-Centred Learning, Media and Communications, Curriculum Development

    4.5
    Rating, 4.5 out of 5 stars
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    118 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

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    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills 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)

    4.5
    Rating, 4.5 out of 5 stars
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    15 reviews

    Beginner · Specialization · 3 - 6 Months

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    Google Cloud

    Using BigQuery Machine Learning for inference

    Skills you'll gain: Data Analysis, Analytics, Big Data, Applied Machine Learning, Machine Learning, SQL

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Unstructured Data, Python Programming, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    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

  • Status: Free Trial
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    CertNexus

    Solve Business Problems with AI and Machine Learning

    Skills you'll gain: Data Ethics, Responsible AI, Regulatory Compliance, Business Ethics, Compliance Management, AI Enablement, Applied Machine Learning, Project Implementation, AI Product Strategy, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Model Evaluation, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Machine Learning Algorithms

    4.4
    Rating, 4.4 out of 5 stars
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    111 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Maryland, College Park

    Digital Marketing Tools: Machine Learning and AI

    Skills you'll gain: Model Evaluation, Apache Hadoop, Machine Learning Methods, Marketing Automation, Marketing Analytics, Digital Marketing, Marketing Strategies, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Customer Insights, Advanced Analytics, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Predictive Analytics

    Beginner · Course · 1 - 4 Weeks

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    Commonwealth Education Trust

    Foundations of Teaching for Learning: Being a Professional

    Skills you'll gain: Teaching, Professional Development, Lifelong Learning, Ethical Standards And Conduct, Professionalism, Personal Development, Willingness To Learn, Collaboration, Self-Awareness, Accountability, Leadership

    4.8
    Rating, 4.8 out of 5 stars
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    216 reviews

    Mixed · Course · 1 - 3 Months

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    O.P. Jindal Global University

    Unsupervised Learning and Its Applications in Marketing

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms

    Beginner · Course · 1 - 3 Months

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular imooc102: mastering american e-learning courses

  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Literacy Teaching and Learning: Aims, Approaches and Pedagogies: University of Illinois Urbana-Champaign
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Using BigQuery Machine Learning for inference: Google Cloud
  • NLP – Machine Learning Models in Python: Packt
  • Machine Learning with Python: Case Studies: EDUCBA
  • Solve Business Problems with AI and Machine Learning: CertNexus
  • Digital Marketing Tools: Machine Learning and AI: University of Maryland, College Park
  • Foundations of Teaching for Learning: Being a Professional: Commonwealth Education Trust

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