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  • Statistical Classification

Results for "statistical classification"


  • E

    EDUCBA

    Master Private Equity Basics: Analyze, Structure & Apply

    Skills you'll gain: Private Equity, Negotiation, Business Valuation, Investment Management, Mergers & Acquisitions, Financial Modeling, Due Diligence, Portfolio Management, Financial Analysis, Entrepreneurial Finance, Liquidation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    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

  • E

    EDUCBA

    Data Analysis with Minitab: Analyze & Apply

    Skills you'll gain: Minitab, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Descriptive Statistics, Statistical Analysis, Predictive Modeling, Statistical Modeling, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Methods, Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    Intro to Predictive Analytics Using Python

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Spark and Python for Big Data with PySpark

    Skills you'll gain: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    73 reviews

    Beginner · Specialization · 1 - 3 Months

  • E

    EDUCBA

    AI Foundations with Python: Build & Visualize

    Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Measuring and Modeling Impact in Evaluations

    Skills you'll gain: Program Evaluation, Maternal Health, Nutrition and Diet, Child Health, Social Impact, Research Methodologies, Data Collection, Epidemiology, Public Health and Disease Prevention, Health Policy, Mathematical Modeling, Statistical Modeling, Data Analysis Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    Erasmus University Rotterdam

    Necessary Condition Analysis (NCA)

    Skills you'll gain: Analysis, Data Analysis, Statistical Reporting, Analytical Skills, Exploratory Data Analysis, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, R (Software), R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing, Data Collection

    4.9
    Rating, 4.9 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Codio

    Visualizing Data & Communicating Results in R with RStudio

    Skills you'll gain: Rmarkdown, Plot (Graphics), Ggplot2, Statistical Visualization, Box Plots, Scatter Plots, Data Visualization, Histogram, Descriptive Statistics, Data Visualization Software, Graphing, R Programming, Data Science

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Predictive Analytics: Apply, Analyze & Interpret

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Predictive Analytics, Data Analysis, Minitab, Statistical Methods, Forecasting, Business Analytics, Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Case Studies, Financial Analysis, Microsoft Excel

    Mixed · Course · 1 - 3 Months

1…171172173…241

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

  • Master Private Equity Basics: Analyze, Structure & Apply: EDUCBA
  • Deep Learning with Real-World Projects: Packt
  • NLP – Machine Learning Models in Python: Packt
  • Data Analysis with Minitab: Analyze & Apply: EDUCBA
  • Intro to Predictive Analytics Using Python: University of Pennsylvania
  • Spark and Python for Big Data with PySpark: EDUCBA
  • AI Foundations with Python: Build & Visualize: EDUCBA
  • Measuring and Modeling Impact in Evaluations: Johns Hopkins University
  • Necessary Condition Analysis (NCA): Erasmus University Rotterdam
  • Learning Deep Learning: Unit 1: Pearson

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