Udemy

Python for Data Science and Machine Learning beginners

立即報名
  • 16,060 名學生
  • 更新於 6/2023
4.3
(1,080 個評分)
CTgoodjobs 嚴選優質課程,為職場人士提升競爭力。透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期
全年招生
課程級別
學習模式
修業期
7 小時 40 分鐘
教學語言
英語
授課導師
Jay Bhatt
評分
4.3
(1,080 個評分)
4次瀏覽

課程簡介

Python for Data Science and Machine Learning beginners

A Complete Machine learning Bootcamp learn Numpy, Pandas, Matplotlib, Stats, Plotly , EDA , Scikit-learn and more!

Hi all Its Jay I am a data scientist by profession and Instructor by passion I have around 4 years of experience as data scientist,  I started my career as analyst as gradually moved to data scientist hence  I can understand what are programming prerequisites for data scientist. This course is created for absolute beginners of data science and machine learning.  It covers all aspect of python languages required in data science machine learning and deep learning.

課程章節

  • 10 個章節
  • 64 堂課
  • 第 1 章 Introduction to python
  • 第 2 章 Setting up environment and jupyter notebook
  • 第 3 章 Module -2 python Arithmetic operations
  • 第 4 章 module 3- python basics list string dictionary
  • 第 5 章 Numpy -Array Attributes
  • 第 6 章 Pandas
  • 第 7 章 Matplotlib- Introduction
  • 第 8 章 Introduction to Data Science
  • 第 9 章 Create simple machine learning models with sklearn
  • 第 10 章 Flight Delay Prediction with real world data

課程內容

  • Implement Machine Learning Algorithms
  • Use python for Data science and Machine Learning
  • Use Numpy and multidimensional array operations
  • Do exploratory Data analysis with pandas profiling
  • Create complex visualization with matplotlib and plotly
  • Use Scikit-learn for Machine Learning Task
  • Linear Regression
  • Random Forest and Decision Tree
  • Statistics For Data Science and Machine Learning


評價

  • P
    Pinky Dembla
    4.0

    for beginners this can be little tough

  • Y
    Yashna Sachdev
    1.0

    Instructor not responding to questions in a timely manner. Still hasn't responded to some of mine that I asked weeks ago.

  • R
    Roshni D'cruz
    5.0

    The best course and well explained.

  • K
    Kannan Ramalingam
    2.5

    The pronunciation of some of the frequently used words could be improved which were really distracting (for eg., like "Example" being pronounced as "Ejjample") while trying to follow the actual content.

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