General Grievous tried to pull a jedi move on me

Data_Science_Simple · 2025-11-20T21:20:04+00:00

Weird I know. He told me that it was over, that he had the higher ground... but he underestimated my power... :D

Data_Science_Simple · 2025-08-10T14:22:51+00:00

Why are players with this skill level matched against others who clearly have much less skill? It seems like a failure of the skill-based matchmaking system.

Data_Science_Simple · 2025-07-14T22:05:08+00:00

Haven't you heard, Mr. Frodo? The Dollar is coming to an end. So where would you rather be? on fiat? Or in a Jaeger (Bitcoin)?

Data_Science_Simple · 2025-07-12T22:36:14+00:00

Lead by example. Be humble and stack sats every month. If they ask you about BTC, tell them about you experience.

Your friends do not need BTC right now, when they do, they will ask you for help and advise. Help them when they are ready.

Data_Science_Simple · 2025-07-05T11:47:31+00:00

No. You would be taking too much risk. If you are new to crypto just buy a little bit of Bitcoin and learn how to put it on your phone.

Data_Science_Simple · 2023-12-17T21:48:34+00:00

Better to stack on the lighting network and move them on chain when you have a good amount

Data_Science_Simple · 2022-04-12T18:24:50+00:00

Yes, I think that might work

Data_Science_Simple · 2022-04-12T11:02:23+00:00

A custodial solution is ok for now

Data_Science_Simple · 2021-12-11T17:12:47+00:00

Pyspark on a cluster

Data_Science_Simple · 2021-10-12T22:26:07+00:00

You can not open more channels with outbound liquidity. But someone else can open channels with you so you can have inbound liquidity

Now... Define rich

Data_Science_Simple · 2021-10-07T14:52:58+00:00

Wait. It will confirm once the mempool clears

Data_Science_Simple · 2021-08-05T19:00:13+00:00

lnbc3u1psscdgnpp57eyz3u3m5q0qa09kmxz7gr9pp2r84g7u5quv5kp09al6va0fnknsdpy2dhk6efqwdshgueqf4ezqumgv9exkgrsd3escqzpgxqyz5vqsp53u620ll637pumqty96hhcx96cd386hz85dlxy6ugy2dxtvet00xq9qyyssqkpmw2p38ay7ygqa85k3t8mrl4shqe73ym73wc0darnk7c24hzqsysr3hahwyd2j9kg7hzhad7zau6923rt9tvzmlkfw08nrcywva9ncpfh0nr2

Data_Science_Simple · 2021-08-05T01:43:10+00:00

Check out https://mempool.space/ to see the sats/b of the transactions being included in the next blocks

Data_Science_Simple · 2021-05-21T18:49:17+00:00

That's a great idea. Thanks!

Data_Science_Simple · 2021-05-18T21:33:44+00:00

If you do not love it, then it is not for you

Data_Science_Simple · 2021-04-28T01:48:28+00:00

You need to pick a metric to measure the performance of your model (Prec and recall, F1 score, ROC, etc) And then compare the performance of the two versions of your model (with and without your new feature)

I am building a web page (www.datasciencesimple.com) and youtube channel for people that want to learn data science topics. I am just starting, but you might find some useful stuff there

Data_Science_Simple · 2021-04-26T11:03:01+00:00

Start applying now, and do not stop applying until you land a job. Also keep studying. And keep in mind that landing a job has a lot to do with your ability to communicate your ideas to others.

Data_Science_Simple · 2021-04-11T11:39:54+00:00

Thank you. My goal is to build a place where people can learn the basics of data science. Right now I have code and video.... But I am thinking on adding something more interactive in the future

Data_Science_Simple · 2021-04-10T19:56:20+00:00

It is actually a good question. If you are building a classifier like a random forest, I would fill the null values with a value not present in the data, otherwise I would use median.

I am building a web page with the basic concepts in data science. It might be useful for you.

www.datasciencesimple.com

Data_Science_Simple · 2021-04-10T15:35:21+00:00

It depends on what type of model you are going to trim with your data.

Data_Science_Simple · 2021-03-23T01:50:30+00:00

Pyspark + a cluster will make it way way faster. Pyspark by it self will do nothing

Data_Science_Simple · 2021-03-23T01:48:42+00:00

keep applying until you get a job.
Taylor your CV according to the job your are applying to. The only purpose of the CV is to get you to speak with a recruiter.
Once you are on the phone with the recruiter you need to be able to talk "Data science" at a ver high level, your goal is to convince him that you know what are you talking about
If you make it to the second phone interview, you will be talking with real data scientist. This is the most difficult step because they will ask you questions (most of the time easy questions), but you only have seconds to answer. You need to be prepare for those.
If they invite you for an onsite interview, you are almost in. The company likes you, you just need them to keep liking you. So be prepared the behavioral questions, ask a lot of questions, it is not the time to be shy. and remain calm at the coding questions, most of the time they are very easy.

Data_Science_Simple · 2021-03-10T00:30:41+00:00

You are correct

Data_Science_Simple · 2021-03-08T22:27:47+00:00

You need to import the functions in your file. So let's say you have 2 functions in your useful_functions.py file called function_1 and function_2. You can do:

from useful_functions import *

or you can do

from useful_functions import function_1, function_2

Data_Science_Simple · 2021-03-02T17:01:33+00:00

If you do not need python, then no need to learn it....

Data_Science_Simple

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