Udemy

Practical Machine Learning with Python

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  • 329 Students
  • Updated 10/2020
4.4
(23 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 24 Minute(s)
Language
English
Taught by
Arunachala Damodar
Rating
4.4
(23 Ratings)
2 views

Course Overview

Practical Machine Learning with Python

Python, Numpy, Pandas, Matplotlib, Seaborn, Statistics And Machine Learning (both Supervised and Unsupervised Learning)

This course is about Machine Learning with Python. You will learn Python Programming, Numpy, Pandas, Matplotlib, Seaborn and Sklearn packages, Statistics and Machine Learning step by step practically. Basic understanding of Programming concepts like If Condition, Loops is necessary. Python programming, Packages, Statistics, Data Visualization, Supervised Learning and Unsupervsed Learning, etc., will be explained from scratch.

Course Content

  • 10 section(s)
  • 164 lecture(s)
  • Section 1 Introduction
  • Section 2 Python Programming
  • Section 3 Numpy
  • Section 4 Pandas
  • Section 5 Time Series Analysis
  • Section 6 Matplotlib
  • Section 7 Seaborn
  • Section 8 Statistics
  • Section 9 Machine Learning Basics
  • Section 10 Projects

What You’ll Learn

  • Python, Statistics, Data Visualization And Machine Learning


Reviews

  • E
    Ehud Gluzberg
    3.0

    I was expecting more theoratical stuff

  • R
    Ralph Shelly
    5.0

    Tremendous value for the amount of content.

  • S
    Sharanu B
    3.0

    This is one of the best course for very beginners, it'll introduce some important ML, Pandas, Numpy, Matplotlib and python topics. If you're looking for complete practical course, go for this. there are few topics missing(Python classes/inheritant etc) and course materials(datasheet) are not available completely.

  • S
    Syed Haider Zaidi
    4.5

    A good beginner course on python and machine Learning

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