2. Session recap
Session Number What is covered
1 Python basics โ recap
2 pandas dataframes and histograms
3 Bar charts โ REST API
4 REST API and Precision Recall
5 Scatter plots and ROC curve
6 ROC curve and line plots
7 Model boundary visualization
8 Final Projects
3. Appointment Planning dataset - kaggle
โข Plot a histogram of the label column `No-show`
โข What do you observe?
4. How do you overcome the skew problem?
โข Resample the data to have equal frequency for the categories
โข https://repl.it/@AIClubAcademy/appointmentData#main.py
10. Scatter Plots โ categorical variables
Both variables are categories. Create a matrix that shows
the number of occurrences in each combination
11. Scatter Plots โ categorical variables
Both variables are categories. Create a matrix that shows
the number of occurrences in each combination
Sex/Pclass Male Female
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