Machine Learning Practical: 6 Real-World Applications
  • ondemand_video
       Video Length : 13h10m0s
  • format_list_bulleted
       Tasks Number : 86
  • group
       Students Enrolled : 638
  • equalizer
       Medium Level
  • Curriculum
  • 1. Introduction
    • videocam
      Welcome to the course
      10m0s
    • videocam
      Where to get the materials
      10m0s
  • 2. Breast Cancer Classification
    • videocam
      Introduction
      10m0s
    • videocam
      Business Challenge
      10m0s
    • videocam
      Updates on Udemy Reviews
      10m0s
    • videocam
      Challenge in Machine Learning Vocabulary
      10m0s
    • videocam
      Data Visualisation
      10m0s
    • videocam
      Model Training
      10m0s
    • videocam
      Model Evaluation
      10m0s
    • videocam
      Improving the Model
      10m0s
    • videocam
      Conclusion
      10m0s
  • 3. Fashion Class Classification
    • videocam
      Business Challenge
      10m0s
    • videocam
      Challenge in Machine Learning Vocabulary
      10m0s
    • videocam
      Data Visualisation
      10m0s
    • videocam
      Model Training Part I
      10m0s
    • videocam
      Model Training Part II
      10m0s
    • videocam
      Model Training Part III
      10m0s
    • videocam
      Model Training Part IV
      10m0s
    • videocam
      Model Evaluation
      10m0s
    • videocam
      Improving the Model
      10m0s
    • videocam
      Conclusion
      10m0s
  • 4. Directing Customers to Subscription Through App Behavior Analysis
    • videocam
      Fintech Case Studies Introduction
      10m0s
    • videocam
      Introduction
      10m0s
    • videocam
      Data
      10m0s
    • videocam
      Features Histograms
      10m0s
    • videocam
      Correlation Plot
      10m0s
    • videocam
      Correlation Matrix
      10m0s
    • videocam
      Feature Engineering - Response
      10m0s
    • videocam
      Feature Engineering - Screens
      10m0s
    • videocam
      Data Pre-Processing
      10m0s
    • videocam
      Model Building
      10m0s
    • videocam
      Model Conclusion
      10m0s
    • videocam
      Final Remarks
      10m0s
  • 5. Minimizing Churn Rate Through Analysis of Financial Habits
    • videocam
      Introduction
      10m0s
    • videocam
      Data
      10m0s
    • videocam
      Data Cleaning
      10m0s
    • videocam
      Features Histograms
      10m0s
    • videocam
      Pie Chart Distributions
      10m0s
    • videocam
      Correlation Plot
      10m0s
    • videocam
      Correlation Matrix
      10m0s
    • videocam
      One-Hot Encoding
      10m0s
    • videocam
      Feature Scaling & Balancing
      10m0s
    • videocam
      Model Building
      10m0s
    • videocam
      K-Fold Cross Validation
      10m0s
    • videocam
      Feature Selection
      10m0s
    • videocam
      Model Conclusion
      10m0s
    • videocam
      Final Remarks
      10m0s
  • 6. Predicting the Likelihood of E-Signing a Loan Based on Financial History
    • videocam
      Introduction
      10m0s
    • videocam
      Data
      10m0s
    • videocam
      Data Housekeeping
      10m0s
    • videocam
      Histograms
      10m0s
    • videocam
      Correlation Plot
      10m0s
    • videocam
      Correlation Matrix
      10m0s
    • videocam
      Feature Engineering
      10m0s
    • videocam
      Data Preprocessing
      10m0s
    • videocam
      Model Building Part 1
      10m0s
    • videocam
      Model Building Part 2
      10m0s
    • videocam
      Grid Search Part 1
      10m0s
    • videocam
      Grid Search Part 2
      10m0s
    • videocam
      Model Conclusion
      10m0s
    • videocam
      Final Remarks
      10m0s
  • 7. Credit Card Fraud Detection
    • videocam
      Case Study
      10m0s
    • videocam
      Machine Learning Vocabulary
      10m0s
    • videocam
      Set Up
      10m0s
    • videocam
      Data Visualization
      10m0s
    • videocam
      Data Preprocessing
      10m0s
    • videocam
      Deep Learning Part 1
      10m0s
    • videocam
      Deep Learning Part 2
      10m0s
    • videocam
      Splitting the Data
      10m0s
    • videocam
      Training
      10m0s
    • videocam
      Metrics
      10m0s
    • videocam
      Confusion Matrix
      10m0s
    • videocam
      Machine Learning Classifiers
      10m0s
    • videocam
      Random Forest
      10m0s
    • videocam
      Decision Trees
      10m0s
    • videocam
      Sampling
      10m0s
    • videocam
      Undersampling
      10m0s
    • videocam
      Smote
      10m0s
    • videocam
      Final remarks
      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 Practical: 6 Real-World Applications


Machine Learning Practical: 6 Real-World Applications

Discussions
You must login to comment.