Python Numpy: Machine Learning & Data Science Course
Learn Numpy Python and get comfortable with Python Numpy in order to start into Data Science and Machine Learning.
4.46 (92 reviews)
7,802
students
9 hours
content
Feb 2025
last update
$59.99
regular price
What you will learn
Fundamentals of Numpy Library and a little bit more
Installation of Anaconda and how to use
Using Jupyter notebook
Learn Fundamentals of Python for effectively using Numpy Library
Numpy arrays
Numpy functions
Linear Algebra
Most importantly you will learn the Mathematics beyond the Neural Network
Also, why you should learn Python and Numpy Library
The most important aspect of Numpy arrays is that they are optimized for speed. We’re going to do a demo where I prove to you that using a Numpy.
You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms
OAK offers highly-rated data science courses that will help you learn how to visualize and respond to new data, as well as develop innovative new technologies
Whether you’re interested in machine learning, data mining, or data analysis, Udemy has a course for you.
Data science is everywhere. Better data science practices are allowing corporations to cut unnecessary costs, automate computing, and analyze markets.
Data science is the key to getting ahead in a competitive global climate.
Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction.
Data Scientists use machine learning to discover hidden patterns in large amounts of raw data to shed light on real problems.
Python is the most popular programming language for data science. It is a universal language that has a lot of libraries available.
Data science requires lifelong learning, so you will never really finish learning.
It is possible to learn data science on your own, as long as you stay focused and motivated. Luckily, there are a lot of online courses and boot camps available
Some people believe that it is possible to become a data scientist without knowing how to code, but others disagree.
A data scientist requires many skills. They need a strong understanding of statistical analysis and mathematics, which are essential pillars of data science.
The demand for data scientists is growing. We do not just have data scientists; we have data engineers, data administrators, and analytics managers.
Numpy python
machine learning data science course
machine learning python
Data analysis, numpy python
Data analysis with pandas and python
Machine learning a-z
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3525856
udemy ID
9/25/2020
course created date
10/1/2020
course indexed date
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