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NumPy For Data Science & Machine Learning

From Beginner to Advanced Level

Instructed by Pruthviraja L

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  • High Quality Recorded Lectures
  • Learn Online from Mobile/PC/Tablet
  • Download Course for Offline Viewing
  • Inlcudes Real Projects
  • Free Instructor Support
  • Able To Perform Matrix Computation
  • How to work with Jupyter notebook as a Data Analyst beginner
  • Python style coding
  • What is Numerical analysis in Data

Hi, welcome to the 'NumPy For Data Science And 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 are 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

  • Python Basics, but not necessary.
  • Anaconda Installation to work with the NumPy and Python
  • Willing to learn data analysis, data science or numerical computation for programm
  • Data Analyst Beginners
  • Business Analyst and AI Enthusiasts
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Section 1 : Introduction - Installation and Setup

  • Lecture 1 :
  • Lecture 2 :
  • How To Install And Setup NumPy & Pandas
  • Lecture 3 :
  • How To Work With The Jupyter Notebook

Section 2 : NumPy Basics

  • Lecture 1 :
  • Numpy Initialization
  • Lecture 2 :
  • Creating An Ndarrays
  • Lecture 3 :
  • Data Types
  • Lecture 4 :
  • Pseudorandom Number Generation

Section 3 : Indexing In NumPy

  • Lecture 1 :
  • Indexing and Slicing
  • Lecture 2 :
  • Boolean Indexing
  • Lecture 3 :
  • Fancy Indexing

Section 4 : File Handling In NumPy

  • Lecture 1 :
  • How To Save And Load In Numpy

Section 5 : Numerical Computation In NumPy

  • Lecture 1 :
  • Mathematical & Statistical Methods
  • Lecture 2 :
  • Arithmetic Operations
  • Lecture 3 :
  • Universal Functions In Numpy
  • Lecture 4 :
  • Conditional Logics In Numpy
  • Lecture 5 :
  • Unique and Set Logic In NumPy
  • Lecture 6 :
  • Linear Algebra

Section 6 : Boolean Array and Sorting In NumPy

  • Lecture 1 :
  • Methods Applied To Boolean Arrays
  • Lecture 2 :
  • Sorting In Numpy
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Pruthviraja L,

Hi, I am Pruthivraja L, with more than 7 plus years of teaching and training experience from various technical institutes. Teaching is my passion. I'm a Certified Data Analyst. I got certifications from various eLearning centers including Udemy, Intellipaat-Bengaluru, LinkedIn eLearning center, etc. My teaching skills are Matlab, Python, SAS, R, AI and Machine learning, Data Science and Data Analysis. I love teaching and training because I knew sharing knowledge with the globe through digital media makes us feel proud and we also get satisfaction for empowering and enlightening the new learning aspirants & enthusiasts of different skills. 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. I've written a student-friendly textbook in the electrical engineering field titled 'Elements of Electrical Engineering' under the publication of 'I.K. International Publishing House Pvt Ltd', New Delhi, 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.
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