How to Enroll This Course for Free :
1, Check this course free offer validity time compleated or not
2, Udemy FREE coupon codes are valid for maximum 1 or 2 days only (Look Free Coupon valid countown ).
3, Read Full Detaild discription of this course and read What you'll learn from this course
4, Must share this course to your friends becaues this is 100% free of cost
5, Buy this course to click "Enroll For Free" button at the end of Description (Please wite 30 sec for Link generateing )
We are update free udemy courses on daily basis if you want daily updates join with us vis Whatsapp and Telegram Groups (link available below)
What you'll learn
- NumPy For Data Analysis
- NumPy For Data Science
- Numerical Computation Using Python
- How To Work With Nd-arrays
- How To Perform Matrix Computation
course 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.
Coupon not working ? I can't Enroll this course for free ?
# One coupon can last maximum for 1 or 2 days and minimum it can be an hour. Your are Late
# Author revoked the coupon. Author have rights to revoke the coupon any time. Bad Luck!!!
But Don’t worry if you missed it, join our whatsapp or Telegram groups using below link to receive all Free Cources instantly whenever it is posted.