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Machine Learning & Artificial Intelligence with Python

Learn Complete Machine learning Python Artificial Intelligence Data Science Data Analysis and Deep Learning using Python

4.13 / 5.0
23307 students1 hours 42 minutes

Created by Homework Helper Proz, offered on Udemy

bestcourses score™

Student feedback

6.7/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 23307 students which left 323 reviews at an average rating of 4.13, which is average.

Course length

9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 1 hours 42 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 4 hours 58 minutes.

Overall score

6.9/10

This course currently has a bestcourses score of 6.9/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

Description

Looking to master Machine Learning for your job or as a career enhancement?

Goals of this course:

  • Be completely ready to get a full time Python Developer Course at the end of the Course

  • Have projects to impress your Employer and land that dream job!

Go from beginner to advance in Python Programming! Apply your knowledge in Machine Learning Data Science & Data Analysis in this intensive course!

Python is the most widely used programming language on the planet. In the United States, the average pay for a Python developer is $116k. That's almost $30k more than the competition!


This course (Python Programming Beginner to Advance + Machine Learning) will help you reach your dreams!


Python, Machine Learning, Data Science and Data Analysis is utilized by large corporations like as Google, Facebook, Dropbox, Reddit, Spotify, Quora, and others.


Its clear and beautiful syntax appeals to mathematicians, scientists, engineers, and developers.


It's the most popular language for AI and machine learning, and it's also the best language for novices to learn. Much less difficult than C++ or JavaScript! It is also used for various lucrative fields such as Machine Learning, Data Science and Data Analysis.


This course covers all Python has to offer, from the fundamentals to more advanced subjects.


A great blend of theory and practice, jam-packed with real-world examples, exercises, and step-by-step answers - devoid of "fluff" and long explanation!


Learn how to use Python to automation, web development, and machine learning.


You will learn the following:


Introduction to Python course:


Intermediate Python- Functions, Modules, Classes and Exceptions


Introduction Data Analysis in Python


Applied Data Analysis in Python - Machine learning and Data science


Introduction to Deep Learning - Tensorflow for image analysis


Machine learning specialized libraries and frameworks are available in a large number of Python distributions, making the development process easier and decreasing development time. Python's straightforward syntax and readability enable it to be used for fast testing of complicated algorithms while also making it accessible to those who are not programmers.


Data science with Python is made simpler by the availability of a plethora of libraries, such as NumPy, Pandas, and Matplotlib, which facilitate data cleaning, data analysis, data visualization, and machine learning activities.


In data analysis using python python's ability to create and manage data structures quickly, for example, is one of the most common applications of the language in data analysis — Pandas, for example, provides a plethora of tools for manipulating, analyzing, and even representing complex datasets — and this is one of the most common applications of Python in data analysis.


We had a team people editing and marketing the course, the editing was done by Mohammad Chowdhury and the marketing was done by Mohammad Fahmid Chowdhury.

The course was created by professors with years of Python experience. The course content was created by Matt Williams, he is a professor with years of Python and Data Science experience, under the CC Attribution license.


Attributions:

Editing: Mohammad Chowdhury

Music: from Bensound

Thumbnail: by Andras Vas on Unsplash

Author of the course: Tyler Caraza-Harter

License: Creative Commons Attribution license (reuse allowed)

What you will learn

  • Use Python for Data Science and Machine Learning
  • Learn basic machine learning
  • Understand the uses of Machine Learning
  • Apply Machine learning in real world

Requirements

  • Interested and motivation to learn Machine Learning
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Frequently asked questions

  • Price: Free
  • Platform: Udemy
  • Language: English
  • 1 hours 42 minutes
Machine Learning & Artificial Intelligence with Python thumbnail

bestcourses score: 6.9/10

There might be better courses available for this topic.