/reflections-on-presentations-anqis929

reflections-on-presentations-anqis929 created by GitHub Classroom

reflections-on-presentations

For each presentation, copy-and-paste then fill-in-the-blanks. You must comment on at least one thing.

Title of presentation:Fragile Family

What were aspects of the presentation that you liked: use lasso and cross validation. Not throw away columns with na, especially when the purpose is predicting.

What were aspects of the presentations for which you had concerns or questions: Goal fine the factors related to their lives Is there a threshold of deciding Want the predicted values of 15? Impute 0 for the columns Comparison across different years Explain why the results are not good

Title of presentation:Mass Shootings

What were aspects of the presentation that you liked:

What were aspects of the presentations for which you had concerns or questions: Is it possible because some event happens, then people start to get alarmed, then this would…

Title of presentation: Voting

What were aspects of the presentation that you liked: I like they state everything clearly Spend longer Did data treatment before, not just putting all the variables in the lasso and to let machine process it Good that they try to fix the problem

What were aspects of the presentations for which you had concerns or questions:

Title of presentation:Yelp

What were aspects of the presentation that you liked: put much effort on source gathering and web scrapping

What were aspects of the presentations for which you had concerns or questions: with lovers only? Have you considered other types of guests?

Title of presentation:crime

What were aspects of the presentation that you liked: good explanation on the graphs

What were aspects of the presentations for which you had concerns or questions:

why you think affected by the time but add the weather? You merged the four datasets by date?

Title of presentation: Game LOL

What were aspects of the presentation that you liked: many methods used, fun topic

What were aspects of the presentations for which you had concerns or questions: Too much methods but little explanation throw away variables with a lot of missing or rows with missing values?

Title of presentation: H1B

What were aspects of the presentation that you liked:presentation is clear, have explanations on the results and the descrepency of the results stated the limitations of the method

What were aspects of the presentations for which you had concerns or questions: need more explanations on the preliminary analysis graphs result indirect

Title of presentation: Traffic (fatal car accident)

What were aspects of the presentation that you liked: detailed explanation about the missing value treatment simple and clear exploratory graphs

What were aspects of the presentations for which you had concerns or questions: Thesis statment is more like conclusion careful on the transformations have you considered using other types of regressions?

Title of presentation:songs

What were aspects of the presentation that you liked: good visualizations Detailed explanation on the variables

What were aspects of the presentations for which you had concerns or questions: Indirect conclusions Comparing the word rank, we can’t really see the change be careful when you are trying to make conclusions based on the graph too lengthy did you calculate the scores yourself or its from a definition?

Title of presentation: NBA

What were aspects of the presentation that you liked: explained the dataset and the meaning of each variables explained why we have this grpah

What were aspects of the presentations for which you had concerns or questions: heat maps dis not convey a very clear information shot rate for CLE is larger than not versus CLE? But shot times for CLE is less?

Title of presentation: Terrorism

What were aspects of the presentation that you liked: cool animation of the graph explined the potential limitations

What were aspects of the presentations for which you had concerns or questions: too much information on the same graph be careful when making conclusions directly from graph we can only know what factors are sgnificantly related to the casaulty but not the effect size and how they affect the attack