Data Science with Python Pandas by Athena Kan




[ad_1]

Harvard Business Review named data scientist “the sexiest job of the 21st century.” Python pandas is a commonly-used tool in the industry to easily and efficiently clean, analyze, and visualize data of varying sizes and types. In this seminar, we’ll learn how to use pandas to extract meaningful insights and recommendations from real-world datasets.

Source


[ad_2]

Comment List

  • CS50
    November 17, 2020

    A good introduction to data science. I downloaded the same kaggle dataset and worked through the steps and noticed the following…
    – average land temperatures at between 1750 – 1754 at 32:44 are different to what I obtained.
    – running the line reg.predict(2050) returned an error (ValueError: Expected 2D array, got scalar array instead:

    array=2050.

    Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.)

    anyone encountered the same problem?

  • CS50
    November 17, 2020

    It seems like there are only 2 people there.

  • CS50
    November 17, 2020

    Pros: Clear and concise
    Cons: Political and the csv file is unnecessarily big

  • CS50
    November 17, 2020

    The data was faulty. Hillary had 84% chance to win. No no no no and no

  • CS50
    November 17, 2020

    this is very helpful – thank you

  • CS50
    November 17, 2020

    Data is the most valuable commodity these days. More so than oil and diamonds.

  • CS50
    November 17, 2020

    This is great

  • CS50
    November 17, 2020

    I wonder how big the word "like" will appear on a word cloud generated from the transcript of this video. Thanks for the great tutorial anyways.

  • CS50
    November 17, 2020

    Thank you for the great video, Athena.

  • CS50
    November 17, 2020

    i m confused what i was actually learning when hillary clinton showed 84%. :'D

  • CS50
    November 17, 2020

    Like This Lesson,Please Send More Code Info To My Email Address nyearlbiz@gmail.com

  • CS50
    November 17, 2020

    She didnt show the on your own lambda example lol

  • CS50
    November 17, 2020

    Great it was nice and interesting

  • CS50
    November 17, 2020

    What the heck.. I'm a working data analyst and your Clinton vs Trump probabilities example was an embarrassment to our the data profession and Harvard!

  • CS50
    November 17, 2020

    thanks really, i find your video helpful. when i wanted to know how to read with pandas a csv file imports from google. the method of reading is not working, I have tried so much. here is my email: adyfall5000@hotmail.com

  • CS50
    November 17, 2020

    Hi Athena thanks for your video.It was very informative

  • CS50
    November 17, 2020

    Stop using 'like' in every sentence please.

  • CS50
    November 17, 2020

    Muito bacana, gostei da sua palestra.. estou iniciando nesta area

  • CS50
    November 17, 2020

    Great Video!! Very easy to follow

  • CS50
    November 17, 2020

    YEAH!!!!!!!!!!!!!!!!!!!!!!

  • CS50
    November 17, 2020

    Nice one; this will also add some info
    https://youtu.be/q2czpYm81dY

  • CS50
    November 17, 2020

    Very clear walk through. Thanks.

  • CS50
    November 17, 2020

    Mr. Trump played it smartly

  • CS50
    November 17, 2020

    can't believe she was a freshmen in undergrad when she filmed this…

  • CS50
    November 17, 2020

    14:21 df.apply(lambda x: np.mean(x))

Write a comment