Manoj Khatua

Don't be the same, be better!

[Manoj Khatua @msk1097]

Customer Segmentation with Machine Learning

https://t.co/4U0nrtJipd

#Python #Pandas #coding #100DaysOfCode #opensource #DataScience #DataAnalytics #EDA #DataVisualization #MachineLearning #AI #medium #kmeans #data

[Manoj Khatua @msk1097]

I'm attending AI Coding Summit with 5k other participants to learn how AI transforms software development and stay up to date with the latest AI tools - get your free remote ticket and join me there!
https://t.co/YBJBB5gzH5
#AICodingSummit

[Manoj Khatua @msk1097]

🔍 Exploring global intelligence trends with Python! Check out the latest analysis on the Top 10 Countries with the Lowest IQ. 🧠💡

From Nepal (42.99) to South Sudan (58.16),

#DataAnalysis #Python #DataViz #IQ #Statistics #Visualization #DataScience

[Manoj Khatua @msk1097]

📊 Data Analysis with Python! 🚀

Check out this visualization of the Top 10 Richest YouTubers in India! Using Python Plotly.
#Python #DataVisualization #DataAnalysis #Plotly #YouTube #RichestYouTubers #DataScience #Analytics #MachineLearning #Programming #TechTrends

[Rohan Paul @rohanpaul_ai]

Interesting question and the Ans is - B) 1

The key learning point from this problem is that - Python's `split()` method divides a string into a list of smaller strings based on a specified delimiter, but when called on an empty string it returns a list containing a single empty string.

Lets dive in

-----------

👉 Firstly, let's break down the code snippet `"".split(" ")`. Here, `split()` is a built-in method in Python which is used to split a string into a list where each word is a separate list item. This method takes a delimiter as an argument, which is the character we want to use to split the string. If we don't pass any argument, the default delimiter is a whitespace.

In this particular case, you're calling `split(" ")` on an empty string (`""`). This means you're asking Python to divide the empty string wherever there's a space (" ").

But since there are no characters (including spaces) in the empty string to begin with, there's nowhere to make a division. As a result, Python just returns a list containing the original, undivided string. In this case, the original string was empty, so Python returns a list with a single item: the empty string. So, the return value of `"".split(" ")` is `[""]`.

👉 Now, let's look at the `len()` function. In Python, `len()` is a built-in function that returns the number of items in an object. When a string is passed as an argument to the `len()` function, it returns the number of characters in that string. But when a list is passed, `len()` will return the number of items present in that list.

So, you're passing the list `[""]` (the result of `"".split(" ")`) to the `len()` function. This list only has one item: the empty string.

So, `len([""])` returns `1`, which is the number of items in the list.

------------------

👉 If you enjoyed this explanation:

✅1. Give me a follow @rohanpaul_ai for more of this every day and
✅2. Like & Retweet this tweet:
✅3. Consider subscribing to my MachineLearning YouTube channel -
https://t.co/l5QgUF1Du5

#python #100daysofcode #softwareengineer #programming #coding #java #javascript #programmer #developer #html #coder #code #computerscience #technology #css #pythonprogramming #linux #php #software #reptilesofinstagram #webdevelopment #webdeveloper #tech #codinglife #algorithms #algorithm #datastructures #statistics #programmers #analytics #leetcode #MachineLearning #ArtificialIntelligence #datascience #nlp #reactjs #100daysofmlcode #nlp #textprocessing #programminglife #hacking #learntocode #softwaredeveloper #interview

[Hypertroph @hypertrophX]

Wisdom through the ages always promotes physical development.

7 Quotes I love from the wisest men who ever lived-

[Jeff Rose, CFP® @jjeffrose]

Youtube has more than 51,000,000 channels.

Here are 13 of the TOP money channels that will teach you how to build wealth faster than a MBA:

[MATT GRAY @matt_gray_]

The morning routine to win your day by 10 AM:

[Tessa Davis @TessaRDavis]

10 must-know Japanese concepts that will improve your life:

[Self-Care Canvas 🦋 @selfcarecanvas]

19 MONEY RULES EVERYONE SHOULD LEARN BY 25:

[Stepan Hlinka @stepanhlinka]

Chrome has 3.2 billion users.

But most people don't know how to unlock its full potential.

Here are 10 chrome extensions you'll wish you knew sooner (all free):

[Manoj Khatua @msk1097]

https://t.co/R9GW3qEbH8

[Manoj Khatua @msk1097]

#Kolkata
Need #Blood Type : Any group, as we need to exchange it from blood bank
At : Medica Hospital, Mukundpur, Kolkata
Blood Component : Blood
Number of Units : 4
Number : 7277452045 / 7986063108
Patient : Shabina Khatoon
Illness : Problem in bone marrow
@BloodDonorsIn

[Santiago @svpino]

Here are 12 skills that you wanna add to your Data Science / Machine Learning resume.

The first 6 are foundational and important. The other 6 are in crazy high demand, harder to build, and will set you apart.

🧵👇

[Thomas Wolf @Thom_Wolf]

Block-sparsity is a smart way to make sparse computations efficient on *any* type of GPU

It's one of the ingredients behind sparse transformers like GPT3

François has released the 1st version of an efficient block-sparse library for PyTorch & I'm very excited about this project

[Machine Learning FLX @machinelearnflx]

Best Machine Learning Books https://t.co/wClhWVAN0x #MachineLearning

[Andrej Karpathy @karpathy]

good quick tutorial on optimizing your PyTorch code ⏲️: https://t.co/7CIDWfrI0J
quick summary:

[Miles Cranmer @MilesCranmer]

Here's a talk I gave at https://t.co/DFwf6jghsC on (1) how to convert a neural network into a symbolic equation, and (2) why I think symbolic regression should be a primary ML algorithm in astrophysics. Lots of insightful questions from the audience!

https://t.co/mjHDdntbMg

[Andrej Karpathy @karpathy]

Exceedingly excellent Ampere GPU commentary, as always from @Tim_Dettmers 👌👌, effectively required reading for deep learning. Explains the present need to pay close attention to memory, size and bandwidth

[Kevin Zakka @kevin_zakka]

Found some free time to release a library I've been using for the last year to abstract away some PyTorch boilerplate. It's pretty lean and only meant to make my research projects cleaner and more reproducible.

https://t.co/0PzgZQJh4Q

[Iain Brown, PhD @IainLJBrown]

Researchers study why neural networks are efficient in their predictions #ArtificialIntelligence #AI #DataScience #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT https://t.co/u2u3orvSQn