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Kaggle Competition

Dr. Jia
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Anaconda is a Python release for scientific computing that supports Linux, Mac, Windows systems, provides package management and environment management features that can easily address multiple versions of Python coexistence, switching, and a variety of third-party package installation issues. Anaconda uses tools/command Conda for package and's management, and includes Python and associated tools.

Python is the most commonly used programming language for machine learning today, and Anaconda provides a convenient virtual environment package management system for Python and R.

Conda can be understood as a tool and an executable command whose core function is package management and environmental management. Package management is similar to the use of PIP, and environment management allows users to easily install different versions of Python and can quickly switch. Anaconda is a packaged collection of Conda, a version of Python, a number of packages, scientific computing tools, and so on, and is also known as a release version of Python. In fact, there are Miniconda, as the name implies, it contains only the most basic content--python and Conda, as well as related must-have dependencies, for the strict space requirements of users, Miniconda is a choice.

Course Features

The main requirement is that we master two modules, one is how to use the object's thinking abstract problems, such as the data abstracted into various variables and arrays; the second is how to use the algorithm to abstract content.

  • Assessment:
    Self evaluation
  • Duration:
    4 hour
  • Skill Level:
    No requirement
  • Lectures:
  • Languages:
  • Available Seats:
  • Starts From:
    21 August

Course Outline

  • Course Name
  • Instructor
  • File type
  • Lesson one Preview
    • 21 / 08 / 2017
    • 09:00 am - 11:30 am
  • Pei Jia


  • PDF File
  • Lesson two Preview
    Java OOP
    • 21 / 08 / 2017
    • 09:00 am - 11:30 am
  • Mr. Lu


  • play
  • Lesson three Preview
    C/C++ - The Real Core
    • 21 / 08 / 2017
    • 09:00 am - 11:30 am
  • Mr. Zheng


  • PDF File
  • Lesson four Preview
    • 21 / 08 / 2017
    • 09:00 am - 11:30 am
  • Mr. Yin


  • PDF File

Course Instructors

  • Dr. Pei

    The mastery of knowledge is not difficult, as long as the perseverance to learn, and strive to master the law, to reach the familiar situation, can be mastered, easy. Teaching must start with the experience of the learner.

  • Mr. Lanxiang

    We need to understand how to look at problems in a computer way, and we need to understand how to describe real-life data in a computer way.

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