rea.kal @reakal2

Athens, Greece Joined September 2020

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rea.kal @reakal2

8 months ago

#Δεν_Εχω_Οξυγονο #Δεν_Εχουμε_Οξυγονο Δικαιοσύνη για τα Τέμπη! Δικαιοσύνη για όλους! Δικαίωμα σε ένα καλύτερο μέλλον.

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Exciting News! Our team at the @BSRC_Fleming - @ReczkoMartin, @adimopoulos0, Rea Kalampaliki - shares our latest project: "A Root Mean Square Deviation Estimation Algorithm (REA) for Improved RNA Structure Prediction" biorxiv.org/content/10.110… #RNA #Bioinformatics #research

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rea.kal @reakal2

5 years ago

#66daysofdata

paulx.Ξth @paulapivat

5 years ago

#66daysofdata

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rea.kal @reakal2

5 years ago

Day 52 of #66daysofdata by @KenJee_DS! I've completed the Intro to SQL course on Kaggle! kaggle.com/learn/certific… Fundamental SQL clauses is one more thing that I earned on my journey.

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rea.kal @reakal2

5 years ago

Day 47 and 48 of #66daysofdata! - Completed the Lessons 1 and 2 of intro to SQL Kaggle course. Learnt how to accessing BigQuery datasets and tables and create simple SQL queries. - Also got into the concept of time complexity.

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rea.kal @reakal2

5 years ago

Day 46 of #66daysofdata! I read of the book "Python for Data Analysis" by W.Mackinney. I studied some examples of: - applying list comprehensions on a column of a DataFrame, changing the indexing of multi-indexed DFs, picking entries with argsort() and take() pandas functions.

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rea.kal @reakal2

5 years ago

Day 45 of #66DaysofData! - I returned to dataset with climat data, I had used for a university assay, semesters ago. I tried an EDA on those data using Python! - I read more of the book "Python for Data Analysis" by Wes MacKinney. - I also started intro to SQL Kaggle course.

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rea.kal @reakal2

5 years ago

Day 44 of #66DaysofData! Completed reading through the "Break into Data Science - 01 - Pandas" Kaggle notebook by Rudy Mizrahi. I got to study about: - subplot, add_subplot and subplots matplotlib.pyplot functions - Pivot tables - random.rand() numpy function.

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Ken Jee @KenJee_DS

5 years ago

git checkout ken_video_on_github youtube.com/watch?v=_0rHU6…

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rea.kal @reakal2

5 years ago

Days 40 and 41 of #66daysofdata! I tried to apply EDA on titanic data. I was very inspired by the way Manav Sehgal and Ken Jee have done the EDA on the same dataset. I also started reading the book 'Python for Data Analysis' written by Wes Kinney.

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rea.kal @reakal2

5 years ago

Day 39 of #66daysofdata by @KenJee_DS. I've completed the Data Visualization course on Kaggle! kaggle.com/learn/certific… I had the chance to navigate into a dataset ofmy choice!

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KDnuggets @kdnuggets

5 years ago

Text Mining with R: The Free eBook - KDnuggets #RStats buff.ly/34YDTBD

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rea.kal @reakal2

5 years ago

Day 37 of #66DaysofData! - Completed lessons 3 and 4 of Data Vizualization Kaggle course. - Moved a bit further in studying Tatinic Solution notebook by Manav Seghal.

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Ken Jee @KenJee_DS

5 years ago

Day 43 of the #66DaysOfData! Next week I am planning to do a "git for data scientists video". That means this week I will be brushing up on git quite a bit! This is something I've been wanting to do for a while!

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rea.kal @reakal2

5 years ago

Day 34 of #66daysofdata! I continued studying through "Titanic Data Science Solutions" Kaggle notebook by Manav Seghal. It's a bit demanding process for me but I enjoy it so far. I also started Data Vizualization Kaggle microcourse.

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rea.kal @reakal2

5 years ago

Day 33 of #66daysofdata! I continued studying through the "Titanic Data Science Solutions" Kaggle notebook (by Manav Seghal). I really like the comments on this notebook.

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rea.kal @reakal2

5 years ago

Day 32 of #66DayofData! I started studying the "Titanic Data Science Solution" Kaggle notebook by Manav Seghal.

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rea.kal @reakal2

5 years ago

Day 30 of #66DaysofData by @KenJee_DS! I did a mini revision on the Pandas Kaggle microcourse. I got better in: - Using .iloc and .loc methods. - Selecting rows from a Dataframe based on a condition. - Using map() and apply() on Series and DataFrames. - Combining two DataFrames.

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Pabs Lopez @pabs_lopez

5 years ago

#66daysofdata @KenJee_DS Hi everybody please go checkout our community page on github where you'll find lots of information on how to get started on Data Science. Thank you to all the contributors. Special thanks to Ken for getting this started. github.com/66daysofdata