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  • Statistical Classification

Results for "statistical classification"


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    S

    Simplilearn

    Introduction to Linear Regression Training

    Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Splunk Fundamentals: Analyze & Visualize Data

    Skills you'll gain: Splunk, Dashboard, Business Intelligence, Scatter Plots, Data Visualization Software, Data-Driven Decision-Making, Software Installation, Graphing, Real Time Data, Trend Analysis, Event Monitoring, Transaction Processing, Anomaly Detection, System Configuration, Correlation Analysis, Statistical Analysis, Data Manipulation

    Mixed · Course · 1 - 3 Months

  • Status: New
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    EDUCBA

    Advanced Data Visualization with Matplotlib Mastery

    Skills you'll gain: Matplotlib, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, NumPy, Python Programming

    Mixed · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

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    Packt

    Foundations of Machine Learning with Azure

    Skills you'll gain: Data Preprocessing, Model Deployment, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Data Cleansing, Supervised Learning, Data Transformation, Model Evaluation, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Duke University

    Beginning Llamafile for Local Large Language Models (LLMs)

    Skills you'll gain: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Application Programming Interface (API), Restful API, Natural Language Processing, Command-Line Interface, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Computer Vision with TensorFlow

    Skills you'll gain: Model Evaluation, Tensorflow, Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Development Environment, Image Analysis, Machine Learning, Deep Learning, Data Persistence, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Project · Less Than 2 Hours

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    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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    Packt

    Advanced Machine Learning, Big Data, and Deep Learning

    Skills you'll gain: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Matplotlib, Random Forest Algorithm, Machine Learning, Data Visualization, Decision Tree Learning, Artificial Neural Networks, Deep Learning, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Introduction to Linear Regression Training : Simplilearn
  • Data Science Fundamentals, Part 2: Pearson
  • Splunk Fundamentals: Analyze & Visualize Data: EDUCBA
  • Advanced Data Visualization with Matplotlib Mastery: EDUCBA
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Foundations of Machine Learning with Azure: Packt
  • Beginning Llamafile for Local Large Language Models (LLMs): Duke University
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • Introduction to Computer Vision with TensorFlow: Google Cloud
  • Learning Deep Learning: Unit 2: Pearson

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