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Data Science with Python | Pulkit Aneja | June 21

Revathi_17

Administrator
Simplilearn Support
Customer
Can someone help in uploading the assignment?
1- Writeup - do we need to copy all the answers to the doc file and upload it?
2- screenshot - Do we need to take a screenshot of all the code and upload it?
3- Sourcecode - What we need to upload in the sourcecode?
Hi, Please raise ticket using help & support, Team will assist you.

Please follow the steps below to raise
"Help and support" ticket.
>Login to LMS account,
>Select "help" icon on the top right hand side of the LMS page
>Select any query
>Connect to "Arya" the virtual assistant
>Select "other"
>To raise a ticket select " yes"
 
Hi Pulkit,
I have some questions on project,

Q1. Do we have to perform only given analysis task or some extra task also we have to perform???

Q2. while doing project on Movielens Case Study, I get confuse with the analysis question i.e.
  1. Top 25 movies by viewership rating
what is actually expected in this ,
do we have to find movies with rating 5 for this I performed
movie_rating = pd.DataFrame((Master_data.groupby('Title')['Rating'].mean()).sort_values(ascending=False))
so as an output I got movies with rating 5

OR

do we have to find movies having maximum count of rating for this I performed
most_rated_movie =pd.DataFrame( Master_data.groupby('Title').size().sort_values(ascending = False)[:25] )

which analysis is correct????? please guide
 

akarsh k

Administrator
Simplilearn Support
Hi Pulkit,
I have some questions on project,

Q1. Do we have to perform only given analysis task or some extra task also we have to perform???

Q2. while doing project on Movielens Case Study, I get confuse with the analysis question i.e.
  1. Top 25 movies by viewership rating
what is actually expected in this ,
do we have to find movies with rating 5 for this I performed
movie_rating = pd.DataFrame((Master_data.groupby('Title')['Rating'].mean()).sort_values(ascending=False))
so as an output I got movies with rating 5

OR

do we have to find movies having maximum count of rating for this I performed
most_rated_movie =pd.DataFrame( Master_data.groupby('Title').size().sort_values(ascending = False)[:25] )

which analysis is correct????? please guide
Hi Kanchan, Seems both are the perfect way of analysis task.
 

pulkitaneja

Active Member
Can someone help in uploading the assignment?
1- Writeup - do we need to copy all the answers to the doc file and upload it?
2- screenshot - Do we need to take a screenshot of all the code and upload it?
3- Sourcecode - What we need to upload in the sourcecode?
For everyone who is yet to submit the assignment:
My recommendation would be. Prepare the notebook with story telling.
1. Create writeups in markdown.
2. Showcase results with the right metrics and explain the interpretation of the metric
3. Support your EDA and results with data visualization wherever possible
4. Using the same description and graphs as in markdown, prepare a word doc/pdf writeup
5. Upload the writup + working notebook after zipping

Cheers,
Pulkit
 

pulkitaneja

Active Member
Hi Pulkit

Can you please post a link/reading material for business example of K-Means Clustering using Python?
Hi,
K-means clustering can be used in all those circumstances where using unsupervised learning would make sense. When you want to group items together without in-advance having the label to group them.

The following links will offer some use cases where K-means can be applied:

Regards,
Pulkit
 

pulkitaneja

Active Member
Hi Pulkit,

My query what I tried asking was as below
while importing pyplot we can do it like
"import matplotlib.pyplot"

but when I try to import style in similar way
"import matplotlib.style"
It does not work
but
"from matplotlib import style"
works

So why can't we import style using the dot operator
Because as I understand style is also another class within matplotlib right?

Hopefully I could make my query clear now.
Hi Dev,

Interesting take. Actually import matplotlib.style works too. It will not throw any error. The problem could be in how do you use it now. If you use the aliasing like we do in case of matplotlib.pyplot as plt. This strategy would work for matplotlib.style also.

You can do something like this:
import matplotlib.style as style
Then you can use the style word to call out all functions within style using the dot operator.

Hope this helps,
Pulkit
 
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