Machine learning with Scikit-learn
  • ondemand_video
       Video Length : 5h10m0s
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       Tasks Number : 34
  • group
       Students Enrolled : 1697
  • equalizer
       Medium Level
  • Curriculum
  • 1. Introduction to Scikit-learn
    • videocam
      Introduction
      10m0s
    • videocam
      Installing scikit-learn
      10m0s
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      Data manipulation: from Pandas to scikit-learn
      10m0s
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      Creating synthetic data
      10m0s
  • 2. Supervised methods
    • videocam
      Naive Bayes : Bernoulli - Multinomial
      10m0s
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      Detecting spam in real SMS Kaggle data
      10m0s
    • videocam
      Linear Support Vector Machines (SVM): SVM and LinearSVC
      10m0s
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      Linear Support Vector Machines (SVM): NuSVM
      10m0s
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      SVM
      10m0s
    • videocam
      Logistic regression
      10m0s
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      Predicting if income >50k using real US Census Data
      10m0s
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      Isotonic regression
      10m0s
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      Linear regression - Lasso - Ridge
      10m0s
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      Lasso - Ridge
      10m0s
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      Decision trees
      10m0s
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      Introduction to ensemble methods
      10m0s
    • videocam
      Averaging ensemble methods - Part 1: Bagging
      10m0s
    • videocam
      Averaging ensemble methods - Part 2: Random forests
      10m0s
    • videocam
      Digit Classification via Random Forests
      10m0s
    • videocam
      Boosting ensemble methods
      10m0s
    • videocam
      Grid Search Cross Validation
      10m0s
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      Predicting real house prices in the US using ExtraTreesRegressor
      10m0s
  • 3. Unsupervised methods
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      Density Estimation
      10m0s
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      Principal Components
      10m0s
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      Principal Components
      10m0s
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      K-Means
      10m0s
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      DBScan
      10m0s
    • videocam
      Clustering
      10m0s
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      Clustering and PCA on real countries data from Kaggle
      10m0s
    • videocam
      Outlier detection
      10m0s
    • videocam
      Novelty detection
      10m0s
Authors

Kevin Gautama is a systems design and programming engineer with 16 years of expertise in the fields of electrical and electronics and information technology.

He teaches at the Hanoi University of Industry in the period 2003-2011 and he has a certificate of vocational training by the Ministry of Industry and Commerce and the Hanoi University of Industry.

From extensive design experience through numerous engineering projects, the author founded the Enziin Academy.

The Enziin Academy is a startup in the field of educational, it's core goal is to training design engineers in the fields technology related.

The Enziin Academy is headquartered in Stockholm-Sweden with an orientation operating multi-lingual and global.

The author's skills in IT:

  • Implementing the application infrastructure on Amazon's cloud computing platform.
  • Linux server system administration (Sysadmin).
  • Design load balancing and content distribution system.
  • MySQL database administration.
  • C/C++/C# Programming
  • Ruby and Ruby on Rails Programming
  • Python and Django Programming
  • The WPF/C# on the .NET Framework Programming
  • The PHP/JAVA Programming
  • Machine Learning and Expert System.
  • Internet of Things.

The author's skills in the fields of electric and electronic:

  • The design of popular CPU / MCU systems.
  • Design FPGA / CPLD system (Xilinx - Altera).
  • Design and programming of DSP systems (Texas Instruments).
  • Embedded ARM system design.
  • The RTOS Programming
  • Design and programming electronic power systems.
  • PLC - inverter - sensor - electric control cabinet industrial.
  • Control systems distributed connection with Server.

Read more...

Machine learning with Scikit-learn


Machine learning with Scikit-learn

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