Exploring a Multi Label Classification Dataset using Python

In this video, we will be a Multi Label Classification Dataset using Python.
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00:00 What was said and what is going to be said!
00:26 Starting with the Jupyter Notebook
00:37 Importing packages: Numpy, Pandas, Matplotlib.pyplot, tqdm, os, PIL.image
01:37 Reading the dataset using pandas: pd.read_csv()
03:57: Renaming the dataframe column names: pd.rename()
06:09 Extract the multi label ground-truth labels from the data frame
09:56 Reading the images in the multi label dataset: Image.open()
15:21 Visualizing the images in the multi label dataset: plt.imshow()
16:42 Generate some statistics regarding the class labels using a pie chart: plt.pie()
20:28 Outro
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