DAP391m - FPTU_AI Questions & Answers

DAP391m - FPTU_AI Questions & Answers Matplotlib was created by John Hunter, an American neurobiologist, and was originally developed as an EEG/ECoG visualization tool. A: True. B: False. True. Using the notebook backend, you can modify a figure after it is rendered. A: True. B: False. True. %matplotlib inline is an example of Matplotlib magic functions. A: True. B: False. True. Area plots are stacked by default. A: True B: False True Given a pandas series, series_data, which of the following will create a histogram of series_data and align the bin edges with the horizontal tick marks? A: count, bin_edges = gram(series_data) series_(kind='hist', xticks = count) count, bin_edges = gram(series_data) series_(kind='hist', xticks = count) B: series_(kind='hist') series_(kind='hist') C: count, bin_edges = gram(series_data) series_(kind='hist', xticks = count, bin_edges) count, bin_edges = gram(series_data) series_(kind='hist', xticks = count, bin_edges) D: series_(kind='hist', xticks = bin_edges) count, bin_edges = gram(series_data) series_(kind='hist', xticks = bin_edges) count, bin_edges = gram(series_data) E: series_(type='hist', xticks = bin_edges) count, bin_edges = gram(series_data) series_(type='hist', series_(kind='hist', xticks = bin_edges) count, bin_edges = gram(series_data) The following code will create a horizontal bar chart of the data in a pandas dataframe, question. (kind='barh') A: True. B: False. True. What do the letters in the box plot above represent? A: A = Median, B = Third Quartile, C = First Quartile, D = Inter Quartile Range, E = Minimum, and F = Outliers B: A = Mean, B = Upper Mean Quartile, C = Lower Mean Quartile, D = Inter Quartile Range, E = Minimum, and F = Outliers C: A = Median, B = Third Quartile, C = Mean, D = Inter Quartile Range, E = Lower Quartile, and F = Outliers D: A = Mean, B = Third Quartile, C = First Quartile, D = Inter Quartile Range, E = Minimum, and F = Maximum E: A = Mean, B = Third Quartile, C = First Quartile, D = Inter Quartile Range, E = Minimum, and F = Outliers A = Median, B = Third Quartile, C = First Quartile, D = Inter Quartile Range, E = Minimum, and F = Outliers What is the correct combination of function and parameter to create a box plot in Matplotlib? A: Function = plot, and Parameter = kind with value = "box" B: Function = plot, and Parameter = kind with value = "boxplot" C: Function = box, and Parameter = type with value = "plot" D: Function = plot, and Parameter = type with value = "box" E: Function = boxplot, and Parameter = type with value = "plot" Function = plot, and Parameter = kind with value = "box" Which of the lines of code below will create the following scatter plot, given the pandas dataframe, df_total? A: import t as plt plot(kind='scatter', x='year', y='total', data=df_total) ('Total Immigrant population to Canada from ') ('Year') ('Number of Immigrants') import t as plt plot(kind='scatter', x='year', y='total', data=df_total) ('Total Immigrant population to Canada from ') ('Year') ('Number of Immigrants') B: import t as plt df_(kind='scatter', x='year', y='total') ('Total Immigrant population to Canada from ') ('Year') ('Number of Immigrants') import t as plt df_(kind='scatter', x='year', y='total') ('Total Immigrant population to Canada from ') ('Year') plt.l import t as plt df_(kind='scatter', x='year', y='total') ('Total Immigrant population to Canada from ') l ('Year') l('Number of Immigrants') Seaborn is a Python visualization library that provides a high-level interface for visualizing geospatial data. A: True. B: False. False. Which of the choices below will create the following regression line plot, given a pandas dataframe, data_df? A: data_(kind="regression", color="green", marker="+") B: data_(kind="regplot", color="green", marker="+") C: import seaborn as sns ax = ot(x="year", y="total", data=data_df, color="green") D: import seaborn as sns ax = ot(x="total", y="year", data=data_df, color="green") E: import seaborn as sns ax = ot(x="year", y="total", data=data_df, color="green", marker="+") import seaborn as sns ax = ot(x="year", y="total", data=data_df, color="green", marker="+") The easiest way to create a waffle chart in Python is using the Python package, PyWaffle. A: True. B: False. True. You cluster markers, superimposed onto a map in Folium, using a feature group object. A: False B: True False The following code will generate a map of Spain, displaying its hill shading and natural vegetation. folium.Map(location=[-40.4637, -3.7492], zoom_start=6, tiles='Stamen Toner') A: True. B: False. False. A choropleth map is a thematic map in which areas are shaded or patterned in proportion to the measurement of the statistical variable being displayed on the map. A: True. B: False. True. Dashboards can provide real-time visuals. A: True B: False True Plotly express is a ________ wrapper A: High-level B: Low-level High-level @app_callback is the callback decorator. A: True B: False False Choose correct way of adding callback decorator A: @ack( Output{component_id='bar-plot', component_property='figure'}, Input{component_id='input-yr', component_property='value'}) B: @ack[Output(component_id='bar-plot', component_property='figure'), Input(component_id='input-yr', component_property='value')] C: @ack( Output(component_id='bar-plot', component_property='figure'), Input(component_id='input-yr', component_property='value')) @ack( Output(component_id='bar-plot', component_property='figure'), Input(component_id='input-yr', component_property='value')) Supervised learning deals with unlabeled data, while unsupervised learning deals with labelled data. A: True B: False False The "Regression" technique in Machine Learning is a group of algorithms that are used for: A: Predicting a continuous value; for example predicting the price of a house based on its characteristics. B: Finding items/events that often co-occur; for example grocery items that are usually bought together by a customer. C: Prediction of class/category of a case; for example, a cell is benign or malignant, or a customer will churn or not. Predicting a continuous value; for example predicting the price of a house based on its characteristics. When comparing Supervised with Unsupervised learning, is this sentence True or False? In contrast to Supervised learning, Unsupervised learning has more models and more evaluation methods that can be used in order to ensure the outcome of the model is accurate. A: True B: False False