NumPy For Data Science & Machine Learning

From Beginner to Advanced Level

Created by : Rated :4.1 64330 views

Last Updated: 2022-07-22 11:07:28 English Course Type: Self Learning

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

Section 1 : Introduction - Installation and Setup 3 Lectures 00:27:26
Lecture 1 :
What Is NumPy Preview
Lecture 2 :
How To Install And Setup NumPy & Pandas
Lecture 3 :
How To Work With The Jupyter Notebook
Section 2 : NumPy Basics 4 Lectures 00:31:52
Lecture 1 :
Numpy Initialization
Lecture 2 :
Creating An Ndarrays
Lecture 3 :
Data Types
Lecture 4 :
Pseudorandom Number Generation
Section 3 : Indexing In NumPy 3 Lectures 00:27:50
Lecture 1 :
Indexing and Slicing
Lecture 2 :
Boolean Indexing
Lecture 3 :
Fancy Indexing
Section 4 : File Handling In NumPy 1 Lectures 00:03:33
Lecture 1 :
How To Save And Load In Numpy
Section 5 : Numerical Computation In NumPy 6 Lectures 00:31:35
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 2 Lectures 00:04:45
Lecture 1 :
Methods Applied To Boolean Arrays
Lecture 2 :
Sorting In Numpy

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Pruthviraja L,

296202 Course Views

3 Courses

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.