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  • Statistical Classification

Results for "statistical classification"


  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    374 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Drug Development and Pharmacoepidemiology

    Skills you'll gain: Medication Therapy Management, Drug Development, Clinical Trials, Pharmaceuticals, Pharmacotherapy, Pharmacology, Medical Prescription, Patient Education And Counseling, Clinical Research, Pre-Clinical Development, Drug Interaction, Patient Safety, Medical Devices, Statistical Analysis, Value-Based Care, Epidemiology, Utilization Management, Program Evaluation, Public Health, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    122 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Columbia University

    The Construction Industry: The Way Forward

    Skills you'll gain: Construction, Business Transformation, Innovation, Architecture and Construction, Construction Management, Workforce Development, Emerging Technologies, Digital Transformation, Thought Leadership, Building Information Modeling, Sustainable Design, Climate Change Adaptation, Augmented and Virtual Reality (AR/VR), Strategic Partnership, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    404 reviews

    Beginner · Course · 1 - 3 Months

  • M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Precalculus through Data and Modelling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), Analytical Skills, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    321 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Exploratory Data Analysis With Python and Pandas

    Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    445 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    Intel

    Intel® AI Fundamentals

    Skills you'll gain: AI Enablement, Artificial Intelligence, AI Product Strategy, Business Technologies, Complex Problem Solving, Digital Transformation, Technology Strategies, Case Studies, Business Intelligence, Company, Product, and Service Knowledge, Customer experience strategy (CX), Customer Insights, Discussion Facilitation, Emerging Technologies, Responsible AI, Customer Analysis, Machine Learning, B2B Sales, Computer Hardware, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    790 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Supervised Learning, Machine Learning, Random Forest Algorithm, Classification Algorithms, Decision Tree Learning, Embeddings, Model Evaluation, Feature Engineering, Dimensionality Reduction, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 3 - 6 Months

  • U

    University of Minnesota

    Analytics for Decision Making

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Data Preprocessing, Business Modeling, Business Analytics, Workforce Management, Analytics, Regression Analysis, Forecasting, Excel Formulas, Data Modeling, Microsoft Excel, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    297 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of California, Davis

    Big Data, Artificial Intelligence, and Ethics

    Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, AI Enablement, Research Methodologies, Social Sciences, Applied Machine Learning, Responsible AI, Analytics, Machine Learning, Data Mining, Ethical Standards And Conduct, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    712 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

1…808182…241

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

  • NLP: Twitter Sentiment Analysis: Coursera
  • Drug Development and Pharmacoepidemiology: Johns Hopkins University
  • The Construction Industry: The Way Forward: Columbia University
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • Precalculus through Data and Modelling: Johns Hopkins University
  • Exploratory Data Analysis With Python and Pandas: Coursera
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • Intel® AI Fundamentals: Intel
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Analytics for Decision Making: University of Minnesota

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