Learn Python NumPy for Machine Learning

Learn Python NumPy for Machine Learning, available at Free, has an average rating of 4.25, with 14 lectures, 12 quizzes, based on 76 reviews, and has 3745 subscribers.

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You will learn about How to create?NumPy?arrays, 1D and 2D and nd arrays Some built-in functions of Numpy, Slicing in Numpy Broadcasting, and manipulating arrays Trigonometric function Random sampling String operations Concatenate function Sort, Unique, Union, Intersection etc. This course is ideal for individuals who are Beginners, who want to learn Numpy, Python library from scratch and curious to learn data science and machine learning. It is particularly useful for Beginners, who want to learn Numpy, Python library from scratch and curious to learn data science and machine learning.

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Summary

Title: Learn Python NumPy for Machine Learning

Price: Free

Average Rating: 4.25

Number of Lectures: 14

Number of Quizzes: 12

Number of Published Lectures: 14

Number of Published Quizzes: 12

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

How to create?NumPy?arrays, 1D and 2D and nd arrays

Some built-in functions of Numpy,

Slicing in Numpy

Broadcasting, and manipulating arrays

Trigonometric function

Random sampling

String operations

Concatenate function

Sort, Unique, Union, Intersection etc.

Who Should Attend

Beginners, who want to learn Numpy, Python library from scratch and curious to learn data science and machine learning.

Target Audiences

Beginners, who want to learn Numpy, Python library from scratch and curious to learn data science and machine learning.

Welcome to Learn NumPy for Machine Learning course. My name is Saima Aziz and I will be the instructor for this course.

In this course we will learn how to create Numpy arrays, learn some built-in functions, access values, broadcasting and manipulating arrays etc.

Python is a general purpose and high level programming language. You can use Python for developing desktop GUI applications, websites and web applications. We will learn Numpy from scratch, which is one of the most popular Python programming language library.

Numpy stands for ‘Numerical Python’. It is an open-source Python library used to perform various mathematical and scientific tasks. It contains multi-dimensional arrays and matrices, along with many high-level mathematical functions that operate on these arrays and matrices. Moreover, NumPy forms the foundation of Machine Learning.

NumPy helps to calculate large quantities and common descriptive statistics. It is very useful for handling linear algebra, fourier transforms, and random numbers. It’s high speed coupled with easy to use functions make it a favorite among Data Science and Machine Learning practitioners. Many of its functions are very useful for performing any mathematical or scientific calculation.

I encourage you to take the course from beginning to end to get the full learning experience. Some topics may be very easy for you and others will be challenging, but each topic should offer something of value.

Hope you will enjoy the course!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Introduction to Numpy

Lecture 1: 1D and 2D array

Lecture 2: 3D array

Lecture 3: Full,ones,zeros,empty,eye builtin functions

Lecture 4: Arange,linspace,reshape,ravel,flatten and transpose functions

Lecture 5: Addition, subtraction, multiplication, division, maxmin, standard deviation, mea

Lecture 6: Slicing in Numpy

Lecture 7: Concatenate function

Lecture 8: Trigonometric function

Lecture 9: random sampling

Lecture 10: string operations

Lecture 11: Sort,Unique,Union,Intersection etc. functions

Lecture 12: Broadcasting

Chapter 3: Congratulations

Lecture 1: Congratulations

Instructors

Saima Aziz
Instructor

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 14 votes

4 stars: 32 votes

5 stars: 28 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!