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Master Python With NumPy For Data Science & Machine Learning

Pruthviraja L
by Pruthviraja L
Categories Development, IT & Software

Description

Hi, welcome to the ‘NumPy For Data Science & Machine Learning’ course. This forms the basis for everything else. The central object in Numpy is the Numpy array, on which you can do various operations. We know that the matrix and arrays play an important role in numerical computation and data analysis. Pandas and other ML or AI tools need tabular or array-like data to work efficiently, so using NumPy in Pandas and ML packages can reduce the time and improve the performance of the data computation. NumPy based arrays are 10 to 100 times (even more than 100 times) faster than the Python Lists, hence if you are planning to work as a Data Analyst or Data Scientist or Big Data Engineer with Python, then you must be familiar with the NumPy as it offers a more convenient way to work with Matrix-like objects like Nd-arrays. And also we’re going to do a demo where we prove that using a Numpy vectorized operation is faster than normal Python lists.

So if you want to learn about the fastest python-based numerical multidimensional data processing framework, which is the foundation for many data science packages like pandas for data analysis, sklearn, scikit-learn for the machine learning algorithm, you are at the right place and right track. The course contents are listed in the “Course content” section of the course, please go through it.

I wish you all the very best and good luck with your future endeavors. Looking forward to seeing you inside the course.

Towards your success:

Pruthviraja L

What I will learn?

  • After completing the course students can able to learn and get skillful knowledge on:
  • NumPy For Data Analysis
  • NumPy For Data Science
  • Numerical Computation Using Python
  • How To Work With Nd-arrays
  • How To Perform Matrix Computation

Topics for this course

Introduction-Installation and Setup

  • What is NumPy
    03:30
  • How To Install And Setup NumPy & Pandas
    07:01
  • How To Work With The Jupyter Notebook
    16:56

NumPy Basics

  • Numpy Initialization
    07:55
  • Creating An Ndarrays
    09:24
  • Data Types
    06:41
  • Pseudorandom Number Generation
    07:54
  • Course Material (Includes Jupyter Notebooks For Practice)
    00:00

Indexing In NumPy

  • Indexing And Slicing
    14:36
  • Boolean Indexing
    06:47
  • Fancy Indexing
    06:28

File Handling In NumPy

  • How To Save And Load In Numpy
    03:34

Numerical Computation In NumPy

  • Mathematical & Statistical Methods
    05:14
  • Arithmetic Operations
    05:17
  • Universal Functions In Numpy
    08:12
  • Conditional Logics In Numpy
    04:37
  • Linear Algebra
    04:10

Boolean Arrays and Sorting In NumPy

  • Methods Applied To Boolean Arrays
    02:52
  • Sorting In Numpy
    01:55
  • Unique and Set Logic In NumPy
    04:09

About the instructors

Pruthviraja L
Pruthviraja L
Hi, I am Pruthviraja L, with more than 7+ years of Training and Teaching experience from Technical Institutes, Teaching is my passion. I've obtained my both PG( M.Tech) in Power Systems Engineering and UG(B.E) in Electrical and Electronics Engineering from V.T.U - Belgaum, Karnataka, India. I'm a Certified Data Analyst. I got certifications from various eLearning centers including Udemy, Intellipaat-Bengaluru, LinkedIn eLearning center, Coursera-IBM, Tableau, etc. I've successfully published and presented 6 + research papers in various 'National & International Journals and Conferences'. I'm a member of various National and International Journals including Elsevier and IEEE. I'm a multi-faceted software professional aspirant with demonstrated capability in deploying analytical and programming methodologies to extract insights for boosting and bolstering user requirements. Adept at conducting statistical analysis and data modeling for transforming raw data into actionable strategies. Proficient in visualizing data to execute projects & set organizations on the path to profitability. 6 + years of teaching experience in engineering institutes with programming skills in Matlab, Python, SAS, R and enthusiasm in developing AI and Machine learning skills motivated me to involve in the dynamic working environment to utilize skills and maximize the profit for the organization. I've written a student-friendly textbook in the electrical engineering field titled 'Elements of Electrical Engineering (ISBN: 9789386768001)' under the publication of 'I.K. International Publishing House Pvt Ltd', New Delhi-110016 India. The book is available in many countries including the USA and UK via Amazon and many other seller portals. The book is now started distributing under Wiley India Pvt. Ltd (ISBN: 9789389583939).
47 Students
1 Courses

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₹200
  • Level
    Intermediate
  • Total Enrolled
    47
  • Duration
    02 hours 07 minutes
  • Last Updated
    July 13, 2021
  • Certificate
    Yes

All Lurnweb courses come with

  • 14-Day Money-Back Guarantee
  • Certificate of completion
  • Self-paced lectures

Material Includes

  • Complete NumPy Course Material in Jupyter Notebook Format
  • The PDF File having all the code cells to work Or use as a guide

Requirements

  • If students knows Python, that is well & good
  • Anaconda Installation to work with the NumPy and Python
  • Basic mathematics
  • Willing to learn data analysis, data science or numerical computation for programm

Tags

Target Audience

  • Data Analyst Beginners
  • Business Analyst and AI Enthusiasts
  • Python Developers Beginners
  • Who Is Interested In ML, AI and Other Big Data Engineering

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