100% Off Udemy Coupon Code NumPy For Data Science and Machine Learning Free Course: From Beginner To Advanced. Udemy free online courses with certificates. 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.
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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.
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Learn About:
- NumPy For Data Analysis
- NumPy For Data Science
- Numerical Computation Using Python
- How To Work With Nd-arrays
- How To Perform Matrix Computation
Requirements:
- If students know 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 program
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