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Industry 4.0 Machine Learning Training Course Workshop

05/07/2019 @ 10:00 AM - 4:30 PM


Industry 4.0 Machine Learning Training Course Workshop

Full Python Machine Learning Course, Industry 4.0 Learning Series

Industry 4.0 Machine Learning Training Course Workshop

Industry 4.0 Machine Learning Training Course Workshop


  • Solve any business, work or personal problem with a powerful machine learning model
  • Form machine learning algorithms to predict house prices, identify manuscripts, locate cancer cells, and more.
  • From zero to hero in Python, Seaborn, Matplotlib, Scikit-Learn, SVM, unattended machine learning, etc.


Create powerful machine learning models to solve problems Training Course

You will switch from a beginner level to a very high level, and the instructor will create each step-by-step algorithm on the screen.

At the end of the course, you will learn machine learning algorithms, classify flowers, predict house prices, identify manuscripts or numbers, identify workers who are most likely to go out, identify cancer cells, and more.

In Industry 4.0  Machine Learning class, you will learn how to:

  • Properly configure the Python development environment
  • Get a complete set of machine learning tools to solve most real-world problems
  • Discover various regression performance, classification, and other performance metrics for ml algorithms such as R-squared, MSE, precision, confusion matrix, preferences, reminders, etc., as well as their usage.
  • Combine several models by filling, reinforcing or stacking
  • Use unsupervised Machine Learning algorithms, such as hierarchical clustering, K-Means clustering, etc., to understand your data.
  • Developed the Jupyter (IPython), Spyder and various IDE notebooks
  • Visual and effective communication with Matplotlib and Seaborn
  • Design new features to improve algorithm prediction
  • Use Training / Testing, K-Folding, and Layer-K-Fold cross validation to select the correct model and use the invisible data to predict model execution.
  • Handwriting recognition and classification issues with SVM
  • Use decision trees to predict employee turnover
  • Apply mapping rules to purchase records

Who is this Industry 4.0 Machine Learninig course?

  • Anyone who wants to learn machine learning algorithms in Python
  • Anyone who has a strong interest in the practical application of machine learning in practical problems
  • Everyone wants to go beyond basics and understand various machine learning algorithms
  • All advanced EXCEL users who cannot handle large amounts of data
  • Anyone interested in presenting their results in a professional and convincing manner
  • Anyone who wants to start a career as a data scientist
  • Anyone who wants to use machine learning in their domain

Data science and machine learning using Python Training Course – Industry 4.0 Learning Series

  • Big data analysis with Spark
  • Implement automatic learning algorithm
  • Learn how to use NumPy for digital data
  • Learn how to use pandas for data analysis
  • Learn how to draw in Python using MATPLlotlib
  • Learn how to use Seaborn for statistical plotting
  • Interactive dynamic visualization with Plotly
  • Machine learning tasks using SciKit-Learn
  • K-means grouping
  • Logistic regression
  • Linear regression
  • Random forest and decision tree
  • Natural language processing and anti-spam filters
  • Neural Networks
  • Support Vector Machines

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Double Effect Training House


Double Effect House
N-10-03, First Subang Mall, Jalan SS15/4G,
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010 220 6800
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