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1 - Setting up the Environment.mp4
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MP4
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91.5 MB
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10 - Strings 1.mp4
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MP4
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28.9 MB
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11 - Strings 2.mp4
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MP4
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28.8 MB
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12 - 7-Dictionaries-Sets.ipynb
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IPYNB
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9 KB
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12 - Dictionaries.mp4
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MP4
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25.3 MB
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13 - Sets.mp4
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MP4
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107.3 MB
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14 - 1.Pandas-Intro.ipynb
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IPYNB
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1.5 KB
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14 - Introduction to Pandas.mp4
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MP4
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135 MB
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15 - 2.Pandas-Series-Part-1.ipynb
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IPYNB
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5.2 KB
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15 - Pandas Series Part 1.mp4
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MP4
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19.6 MB
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16 - 3.Pandas-Series-Part-2.ipynb
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IPYNB
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3.6 KB
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16 - Pandas Series Part 2.mp4
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MP4
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28.4 MB
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17 - 4.Pandas-Series-Unique.ipynb
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IPYNB
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3.6 KB
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17 - Pandas Series Unique.mp4
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MP4
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24.2 MB
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18 - 5.Sorting-a-Series.ipynb
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IPYNB
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6.3 KB
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18 - Pandas Series Sorting.mp4
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MP4
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19.7 MB
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19 - 6.Dataframes-Intro.ipynb
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IPYNB
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4.5 KB
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19 - Introduction to DataFrames.mp4
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MP4
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19.7 MB
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2 - Introduction to Python Tools.mp4
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MP4
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153.5 MB
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20 - 7-Data-from-csv-file.ipynb
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IPYNB
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2.4 KB
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20 - Accessing csv files.mp4
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MP4
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73 MB
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20 - titanic.csv
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CSV
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58.9 KB
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21 - 8.Data-Inspection.ipynb
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IPYNB
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3.7 KB
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21 - Data Inspection.mp4
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MP4
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54.8 MB
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22 - 9.Dataframes-Index.ipynb
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IPYNB
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3.3 KB
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22 - Dataframe Indexing 1.mp4
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MP4
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38.4 MB
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23 - 11.Indexing-in-Dataframes.ipynb
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IPYNB
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2.6 KB
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23 - Dataframe Indexing 2.mp4
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MP4
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17.6 MB
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24 - 10.Dataframe-Filter.ipynb
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IPYNB
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2.9 KB
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24 - Dataframe Filter.mp4
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MP4
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25.4 MB
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25 - 12.Position-based-Index-iloc.ipynb
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IPYNB
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4 KB
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25 - IPL.csv
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CSV
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37.3 KB
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25 - Position based indexing using iloc.mp4
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MP4
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84.8 MB
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26 - 13.Index-based-Slicing-iloc.ipynb
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IPYNB
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3.4 KB
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26 - Dataframe Slicing using iloc.mp4
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MP4
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22.9 MB
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26 - IPL.csv
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CSV
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37.3 KB
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27 - 14.Label-based-Slicing-using-loc.ipynb
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IPYNB
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92.9 KB
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27 - IPL.csv
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CSV
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37.3 KB
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27 - Label based Slicing using loc.mp4
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MP4
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39.9 MB
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28 - 15.loc-with-numeric-index.ipynb
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IPYNB
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2.5 KB
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28 - Loc with numeric index.mp4
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MP4
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14.4 MB
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29 - 16.Reset-index.ipynb
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IPYNB
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3.3 KB
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29 - IPL.csv
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CSV
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37.3 KB
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29 - Reset Index.mp4
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MP4
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35.5 MB
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3 - 1.Arithmetic.ipynb
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IPYNB
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8.6 KB
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3 - Arithmetic Operations in Python.mp4
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MP4
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33.3 MB
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30 - 17.Rename-columns.ipynb
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IPYNB
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5.4 KB
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30 - Rename Columns.mp4
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MP4
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16.8 MB
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30 - data.csv
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CSV
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0 B
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31 - 18.Conditional-Filter.ipynb
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IPYNB
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3.8 KB
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31 - Conditional Filter.mp4
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MP4
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41.1 MB
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31 - titanic.csv
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CSV
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58.9 KB
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32 - 19.Advanced-Filter-Dataframe.ipynb
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IPYNB
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2.6 KB
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32 - Advanced Filter.mp4
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MP4
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18.4 MB
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32 - titanic.csv
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CSV
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58.9 KB
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33 - 20.Handling-Missing-Values-Part-1.ipynb
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IPYNB
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2.1 KB
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33 - Missing Values Part 1.mp4
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MP4
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10.2 MB
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33 - missing.csv
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CSV
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102.4 B
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34 - 21.Handling-Missing-Values-Part-2.ipynb
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IPYNB
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4.9 KB
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34 - Missing Values Part 2.mp4
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MP4
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54.1 MB
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34 - titanic.csv
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CSV
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58.9 KB
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35 - 22.Groupby.ipynb
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IPYNB
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5.8 KB
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35 - Group by.mp4
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MP4
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32.7 MB
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36 - 23.Introduction-to-Time-Series-Data.ipynb
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IPYNB
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1.3 KB
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36 - Intro to Time Series.mp4
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MP4
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23 MB
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36 - minute.csv
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CSV
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16.9 KB
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37 - 27-Downloading-Data-yfinance-API.ipynb
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IPYNB
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2.8 KB
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37 - Downloading Data yfinance API.mp4
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MP4
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62.3 MB
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38 - 24.Convert-string-to-datetime-column.ipynb
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IPYNB
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4.4 KB
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38 - String to Datetime.mp4
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MP4
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36.5 MB
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38 - minute.csv
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CSV
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16.9 KB
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39 - 10.Accessing-Data.ipynb
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IPYNB
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25.9 KB
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39 - Reading Files.mp4
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MP4
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88 MB
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39 - minute.csv
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CSV
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16.9 KB
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4 - 2.Data-Types.ipynb
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IPYNB
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6.4 KB
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4 - Data Types.mp4
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MP4
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31.2 MB
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40 - 11-Accessing-MySQL-Database.ipynb
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IPYNB
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5.1 KB
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40 - Working with My Sql Database.mp4
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MP4
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57 MB
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41 - 25.Slice-Time-Series-Data.ipynb
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IPYNB
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2.4 KB
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41 - Slice Time Series Data.mp4
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MP4
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12.1 MB
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41 - minute.csv
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CSV
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16.9 KB
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42 - 28.Pivot.ipynb
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IPYNB
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2.2 KB
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42 - Pivot DataFrame.mp4
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MP4
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19.5 MB
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42 - bank-data.csv
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CSV
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244.3 KB
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43 - 26.Resample.ipynb
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IPYNB
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3.5 KB
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43 - Resample DataFrame.mp4
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MP4
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33.3 MB
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43 - tick.csv
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CSV
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598.1 KB
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44 - 29.Data-Normalization.ipynb
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IPYNB
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2.2 KB
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44 - Data Normalization.mp4
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MP4
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52.4 MB
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44 - bank-data.csv
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CSV
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244.3 KB
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45 - 21-Frequency-Tables.ipynb
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IPYNB
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37.4 KB
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45 - Frequency Tables.mp4
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MP4
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84.6 MB
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45 - titanic.csv
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CSV
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58.9 KB
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46 - 22-Pandas.ipynb
|
IPYNB
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311.5 KB
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46 - Visualization Part 1 Pandas.mp4
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MP4
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91.7 MB
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46 - diamond.csv
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CSV
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4 KB
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47 - Charts-with-Matplotlibs.ipynb
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IPYNB
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9.9 KB
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47 - Visualization Part 2 Matplotlib.mp4
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MP4
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64 MB
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47 - minute.csv
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CSV
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16.9 KB
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48 - 30.Calculate-Price-Changes.ipynb
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IPYNB
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2.1 KB
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48 - Calculate Price Changes.mp4
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MP4
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14.6 MB
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48 - daily.csv
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CSV
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98.8 KB
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49 - 31.Calculate-Financial-Returns.ipynb
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IPYNB
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2.1 KB
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49 - Calculate Financial Returns.mp4
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MP4
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8 MB
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49 - daily.csv
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CSV
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98.8 KB
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5 - 4.Variables.ipynb
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IPYNB
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3.1 KB
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5 - Variables.mp4
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MP4
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30.7 MB
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50 - 33.TVPI-or-multiples.ipynb
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IPYNB
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46.4 KB
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50 - TVPI.mp4
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MP4
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33.1 MB
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50 - daily.csv
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CSV
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98.8 KB
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51 - 34.CAGR-vs-Annual-Returns.ipynb
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IPYNB
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64.6 KB
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51 - CAGR.mp4
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MP4
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27.1 MB
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52 - 35.Geometric-Returns.ipynb
|
IPYNB
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92.7 KB
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52 - Geometric Returns.mp4
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MP4
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24.7 MB
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53 - 32.Risk-vs-Reward.ipynb
|
IPYNB
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2.3 KB
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53 - Risk vs Returns.mp4
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MP4
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17.3 MB
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53 - daily.csv
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CSV
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98.8 KB
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54 - 36.Simple-vs-Compound-Interest.ipynb
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IPYNB
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5.8 KB
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54 - Simple vs Compound Interest.mp4
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MP4
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22.8 MB
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55 - 37-Continuous-Compounding.ipynb
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IPYNB
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5.1 KB
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55 - Continuous Compounding.mp4
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MP4
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24.2 MB
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56 - 38.Intro-to-Log-Returns.ipynb
|
IPYNB
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2.3 KB
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56 - Intro to log Returns.mp4
|
MP4
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19.1 MB
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57 - 39.Daily-Returns-vs-Log-Returns.ipynb
|
IPYNB
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47.9 KB
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57 - Daily Return vs Log Returns.mp4
|
MP4
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46.4 MB
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58 - 40.More-about-Log-Returns.ipynb
|
IPYNB
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148.8 KB
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58 - More About Log Returns.mp4
|
MP4
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45.2 MB
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59 - 25.Intro-to-Statistics.ipynb
|
IPYNB
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231.5 KB
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59 - Descriptive Statistics.mp4
|
MP4
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108.4 MB
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59 - marks.csv
|
CSV
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204.8 B
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6 - 5.Lists.ipynb
|
IPYNB
|
11.2 KB
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6 - Intro to Lists.mp4
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MP4
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22.6 MB
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60 - Five Point Summary.mp4
|
MP4
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34.1 MB
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60 - Five-point-Summary.ipynb
|
IPYNB
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15.2 KB
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61 - Moving Averages.mp4
|
MP4
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89.3 MB
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61 - Moving-Averages.ipynb
|
IPYNB
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240.3 KB
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61 - nifty.csv
|
CSV
|
98.8 KB
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62 - 27.Confidence-Intervals.ipynb
|
IPYNB
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69.2 KB
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62 - Confidence Intervals.mp4
|
MP4
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77 MB
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63 - 26.Distributions.ipynb
|
IPYNB
|
135.3 KB
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63 - Statistical Distributions.mp4
|
MP4
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83.9 MB
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64 - 28.Hypothesis.ipynb
|
IPYNB
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42.6 KB
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64 - Hypothesis Testing.mp4
|
MP4
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87.5 MB
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65 - 29-Analysis-of-variance.ipynb
|
IPYNB
|
21.5 KB
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|
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65 - Analysis of Variance.mp4
|
MP4
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40 MB
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66 - 30-Linear-Regression.ipynb
|
IPYNB
|
150.5 KB
|
|
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66 - Linear Regression.mp4
|
MP4
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78.1 MB
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66 - mtcars.csv
|
CSV
|
1.7 KB
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67 - 31-Logistic-Regression.ipynb
|
IPYNB
|
30.7 KB
|
|
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67 - Logistic Regression.mp4
|
MP4
|
56.8 MB
|
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67 - titanic.csv
|
CSV
|
58.9 KB
|
|
|
68 - 32-Decision-Trees.ipynb
|
IPYNB
|
175.3 KB
|
|
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68 - Decision Trees.mp4
|
MP4
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83.6 MB
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69 - 33-Random-Forests.ipynb
|
IPYNB
|
5.8 KB
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69 - Random Forests.mp4
|
MP4
|
39 MB
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7 - Lists 2.mp4
|
MP4
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40.8 MB
|
|
|
8 - Lists 3.mp4
|
MP4
|
39.8 MB
|
|
|
9 - 6.Tuples-and-strings.ipynb
|
IPYNB
|
8.6 KB
|
|
|
9 - Tuples.mp4
|
MP4
|
30.9 MB
|
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Bonus Resources.txt
|
TXT
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409.6 B
|
|
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Get Bonus Downloads Here.url
|
URL
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204.8 B
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