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Deep Learning: Neural Networks and Heuristics with R

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EDUCBA Bridging the Gap

6:10:33

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  • 1 - Reviewing Dataset.mp4
    14:04
  • 2 - Creating Dataframes.mp4
    09:22
  • 3 - Generating Output.mp4
    11:43
  • 4 - Running Neural Network Code.mp4
    11:00
  • 5 - Importing Dataset.mp4
    09:02
  • 6 - Neural Network Plots for Hidden Layer 1.mp4
    08:17
  • 7 - Syntax and Commands for MLP.mp4
    11:21
  • 8 - Running the Code.mp4
    08:00
  • 9 - Testing for Dataframes.mp4
    13:21
  • 10 - Predict Results.mp4
    08:20
  • 11 - Creating R Folder.mp4
    13:49
  • 12 - Generating Output Plot.mp4
    11:47
  • 13 - Testing and Predicting the Outputs.mp4
    15:58
  • 14 - Course Contents.mp4
    08:19
  • 15 - Creating Dataframes.mp4
    08:31
  • 16 - Generating Descriptive.mp4
    11:18
  • 17 - Generating Descriptive Continued.mp4
    09:46
  • 18 - Setting Directory and Environment.mp4
    10:37
  • 19 - Assigning Variables.mp4
    09:16
  • 20 - Syntax and Command Part 1.mp4
    09:17
  • 21 - Syntax and Command Part 2.mp4
    09:53
  • 22 - Syntax and Command Part 3.mp4
    07:29
  • 23 - Setting Directory and EnvironmentCryptocurrencies.mp4
    10:37
  • 24 - Spearman Techniques.mp4
    08:12
  • 25 - Generating Line Graphs.mp4
    08:48
  • 26 - Generating Scatter Plots.mp4
    09:57
  • 27 - Generating Multiple Scatter Plots.mp4
    10:28
  • 28 - Understanding Regression Modeling Theory.mp4
    09:59
  • 29 - Implementing Linear Regression Modeling.mp4
    10:04
  • 30 - Syntax and Commands.mp4
    09:47
  • 31 - Generating Scatter PlotsEnergy Sector.mp4
    09:06
  • 32 - Multiple Scatter Plots.mp4
    08:38
  • 33 - Creating DataframesFinancial Markets.mp4
    08:17
  • 34 - Understanding Multiple.mp4
    09:01
  • 35 - Implementing Multiple Regression Model in R.mp4
    10:03
  • 36 - Plot and Draw Line of Fit.mp4
    10:02
  • 37 - Multiple Scatter Plots in a Graphical Frame.mp4
    07:04

    • Description

    Confidently build predictive Machine Learning and Deep Learning models using R to solve business problems

    What You'll Learn?

    • Learn how to solve real life problem using the deep learning techniques
    • Learn Deep Learning models such as Regression, Heauristic etc
    • Understanding of basics of statistics and concepts of Deep Learning
    • How to do basic statistical operations and run ML models in R

    Who is this for?

  • People pursuing a career in data science
  • Working Professionals beginning their Data journey
  • Statisticians needing more practical experience

    • What You Need to Know?

  • People Wanting To Master The R & R Studio Environment For Data Science
  • Anyone With Prior Exposure To Common Machine Learning Concepts Such As Supervised Learning

    • More details

    Description

    This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science. In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge and boost your career to the next level.

    You're looking for a complete Machine Learning and Deep Learning course that can help you launch a flourishing career in the field of Deep Learning, R, right? You've found the right Deep Learning course! After completing this course you will be able to:

    • Confidently build predictive Machine Learning and Deep Learning models using R to solve business problems and create business strategy

    • Answer Machine Learning, Deep Learning, R, related interview questions

    • Participate and perform in online Data Analytics and Data Science competitions such as Kaggle competitions

    • Learn how to solve real life problem using the deep learning techniques

    • deep Learning models such as Regression, Heauristic etc

    • Understanding of basics of statistics and concepts of Deep Learning

    • How to do basic statistical operations and run ML models in R

    • In-depth knowledge of data collection and data preprocessing for Machine Learning problem

    • How to convert business problem into a Machine learning problem

    Who this course is for:

    • People pursuing a career in data science
    • Working Professionals beginning their Data journey
    • Statisticians needing more practical experience

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    Category

    Deep Learning

    Neural Networks

    R Programming

    EDUCBA Bridging the Gap
    EDUCBA Bridging the Gap
    Instructor's Courses
    EDUCBA is a leading global provider of skill based education addressing the needs of 1,000,000+ members across 70+ Countries. Our unique step-by-step, online learning model along with amazing 5000+ courses and 500+ Learning Paths prepared by top-notch professionals from the Industry help participants achieve their goals successfully. All our training programs are Job oriented skill based programs demanded by the Industry. At EDUCBA, it is a matter of pride for us to make job oriented hands-on courses available to anyone, any time and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your study to suit your convenience and schedule.
    Udemy
    Udemy
    View courses Udemy
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 37
    • duration 6:10:33
    • Release Date 2024/04/13

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