Assignments
Indians from my era would know we rarely had assignments in college as a form of evaluation. Apparently, here, as you move up to Masters, there are more of assignments and less of 'exams'.
Between four courses this semester, I have 15 assignments that range as under:
- Python led data cleaning and time series analysis on NZ demographic data. (the sweet professor has taken the effort of extra pain to tamper the data)
- SAS Enterprise Guide led analysis on PCA, MDS and Factor Analysis on Pizza and Crime data
- SAS EG led multiple regression on AIRBNB data
- SAS Miner led analysis on Decision Trees and Neural Networks
- A group project from a local client (ESPNZ - curtailing energy wastage) on their own data trying to fill the missing values with whatever technique one wants to use. Client is expecting, as usual, that we, data scientists, will be using our wands to write spells!
While these are mostly approach and somewhat coding led assignments, there is a strong plagiarism check with a rather sophisticated tool that gives a % plagiarism output for each submission.
The classes are fast paced and often seem cumulus. For someone with no coding, machine learning and advanced stats experience, I find most of what is taught challenging. In spite of putting 10-12 hours everyday, I am struggling. Well, nothing of this is unexpected. But envisaging and experiencing are two different things.
And then there are seductions of Netflix and the old run-down Nissan I recently bought which is calling me to explore Auckland.
Meanwhile NZ closed its borders for all non residents and the virus is spreading its tentacles. I used some of my course learnigs and applied linear and logistic regression to predict that at current rate, one billion might be effected by May! I just hope I am wrong as envisaging and experiencing are two different things.
There are no friends. Beer outings with Rupali are a memory. Weather is not particularly cheery.
This fucking post is depressing!
Between four courses this semester, I have 15 assignments that range as under:
- Python led data cleaning and time series analysis on NZ demographic data. (the sweet professor has taken the effort of extra pain to tamper the data)
- SAS Enterprise Guide led analysis on PCA, MDS and Factor Analysis on Pizza and Crime data
- SAS EG led multiple regression on AIRBNB data
- SAS Miner led analysis on Decision Trees and Neural Networks
- A group project from a local client (ESPNZ - curtailing energy wastage) on their own data trying to fill the missing values with whatever technique one wants to use. Client is expecting, as usual, that we, data scientists, will be using our wands to write spells!
While these are mostly approach and somewhat coding led assignments, there is a strong plagiarism check with a rather sophisticated tool that gives a % plagiarism output for each submission.
The classes are fast paced and often seem cumulus. For someone with no coding, machine learning and advanced stats experience, I find most of what is taught challenging. In spite of putting 10-12 hours everyday, I am struggling. Well, nothing of this is unexpected. But envisaging and experiencing are two different things.
And then there are seductions of Netflix and the old run-down Nissan I recently bought which is calling me to explore Auckland.
Meanwhile NZ closed its borders for all non residents and the virus is spreading its tentacles. I used some of my course learnigs and applied linear and logistic regression to predict that at current rate, one billion might be effected by May! I just hope I am wrong as envisaging and experiencing are two different things.
There are no friends. Beer outings with Rupali are a memory. Weather is not particularly cheery.
This fucking post is depressing!
Comments
Post a Comment