NumPy Bootcamp for Data Science and ML in Python - 2023
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | 4 hours 23 minutes | 49 lectures | 1.13 GB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | 4 hours 23 minutes | 49 lectures | 1.13 GB
Genre: eLearning | Language: English
Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python.
Why Learn Numpy?
The central object in Numpy is the Numpy array, on which you can do various operations.
The key is that a Numpy array isn’t just a regular array you’d see in a language like Java or C++, but instead is like a mathematical object like a vector or a matrix.
That means you can do vector and matrix operations like addition, subtraction, and multiplication.
The most important aspect of Numpy arrays is that they are optimized for speed. So we’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list.
Then we’ll look at some more complicated matrix operations, like products, inverses, determinants, and solving linear systems.
Key Features:
Video Lectures: Learn the best ways to learn Numpy
Course Certificate: Complete the course and show off your skills with the course certificate.
Learn from experts: Your expert instructor will teach you Numpy skills you can apply immediately.
Full Excess: There is no time limit, so take the course at your own pace and retake lessons as you need.
Use any Device: Join the course using any modern browser on your phone, tablet and computer.
Ask Question: Ask questions and share ideas with other students in the course community.
What's included?
High quality video lessons to build your knowledge and skills.
Guided walk-throughs with techniques and tips.
14 pre-built dashboards you can use and customize.
Practical exercises to apply your skills.
Quizzes to reinforce learnings and test your knowledge.
Private discussion area where you can ask questions.
Course certificate for completing the lessons and assignment.
Full access lets you review lessons whenever you need.
Updates when lessons in the course are refreshed.