In this Numpy Tutorial for beginners in Tamil Episode 5, we are going to learn about one of the most commonly used random number generation functions in NumPy, np.random.rand() and np.random.random().
🔥If you want to master Numpy step by step in Tamil, check out my complete Numpy playlist. start from Episode 1 and grow your skills like a pro! : • Complete Numpy Tutorial in Tamil | Numpy T...
🔥If you want to master Pandas step by step in Tamil, check out my complete Pandas playlist. start from Episode 1 and grow your skills like a pro! : • Pandas Full Course Python | Python Pandas ...
🔥If you want to master Tensorflow step by step in Tamil, check out my complete Tensorflow playlist. start from Episode 1 and grow your skills like a pro! : • Tensorflow Tutorial for beginners in Tamil...
👉 First, we will explore how NumPy generates random floating-point numbers between 0 and 1.
👉 Then, we will clearly understand the difference in syntax between rand() and random(), why one accepts separate integers and the other expects a shape tuple.
👉 With simple examples, you will see how both functions produce the same type of random arrays but differ only in how we pass the shape.
00:00 Introduction
00:23 2D Random float array with random.rand
03:23 1D Random float array with random.rand
05:11 3D Random float array with random.rand
07:08 2D Random float array with random.random
09:31 3D Random float array with random.random
11:30 Next Video
We will also cover:
✔️ How to create random arrays of different shapes (1D, 2D, 3D).
✔️ How to change the range of random numbers from [0, 1) to any custom interval using scaling.
✍By the end of this episode, you will have a clear understanding of when to use np.random.rand() vs np.random.random() in your data science and machine learning projects.
🔥 Don’t miss the challenge at the end , generate a 3D random array with both methods and share your results in the comments!
#NumPy #Python #DataScience #TamilTutorial
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