HIP_HOP

True. I also don't have a need to jailbreak anymore.

This is going to be interesting!

simply switch to old reddit

Interesting article. Thanks for sharing it.

The first rule of Fight Club is: You do not talk about Fight Club. The second rule of Fight Club is: You do not talk about Fight Club.

Just boring data science stuff. Don't read it!

https://medium.com/@romanorac

That is a useful one, yes.

use incognito

you have it above

TLDR;

5 lesser-known pandas tricks:

1. Date Ranges

2. Merge with indicator

3. Nearest merge by timestamp

4. Create an Excel report from pandas

5. Use gzip with when saving to csv

YARJW - Yet Another Remote Job Website

Can someone write an ELI5 of BPF, please?

YARW - Yet Another RemoteWork Website

I made the one with binary averages on redshift

just follow me on medium

What is the difference between join and merge?

Most probably you would get very similar results

I'm a machine learning engineer with notable successes in improving systems for document classification and item recommendation. I have experience with managing small teams, mentoring beginners and explaining complex concepts to non-engineers.

https://www.linkedin.com/in/romanorac

https://github.com/romanorac

    Location: Slovenia, Europe
    Remote: Yes
    Willing to relocate: No
    Technologies: Data Science, Machine Learning, Data Engineer
        - (ML stack) numpy, scipy, pandas, scikit-learn, keras, jupyterlab
        - (coding) python, java, go, sql
        - (big data) experience with Spark, MLlib and Elasticsearch
    Résumé/CV: https://drive.google.com/file/d/16p_1AWGFA8HzF9chXzk79r8HHhsTtflM/view
    Email: in CV

I'm a machine learning engineer with notable successes in improving systems for document classification and item recommendation. I have experience with managing small teams, mentoring beginners and explaining complex concepts to non-engineers.

https://www.linkedin.com/in/romanorac

https://github.com/romanorac

    Location: Slovenia, Europe
    Remote: Yes
    Willing to relocate: No
    Technologies: Data Science, Machine Learning
        - (ML stack) numpy, scipy, pandas, scikit-learn, keras, jupyterlab
        - (coding) python, java, go, sql
        - (big data) experience with Spark, MLlib and Elasticsearch
    Résumé/CV: https://drive.google.com/open?id=17pgQ6StJegjnlOL3rzVQp5ikwtwtRoRJ
    Email: in CV

tnx... I should add the test, yes.

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thank you. Gonna look at it

They have the dollar as a unit, just y-axis scale is different. For BTC is from $4000 to $20000 and for LTC is from $50 to $350. This is a useful technique to check if curves move together or not.

I am going to try. I am not saying I developed it.

I agree, I just wanted to make sure some noob doesn't think he'll invest and make a guaranteed profit.

My next step is to implement strategy testing. I would like to end this series with a classifier that predicts buy or hold.

Follow me on Twitter to get the latest updates: https://twitter.com/romanorac

Thx... I intend to use it next time. This is going to be a series of blog posts about cryptocurrency analysis.

He fits and transforms Kmeans on the output of TfIdfVectorizer and not tSNE. tSNE is only used for 2D visualisation.

kmeans = kmeans_model.fit(vz)

kmeans_clusters = kmeans.predict(vz)