Python for Data Science and Machine Learning 2024 CourseWikia
Torrent Info
| Category | Other |
| Added | Wednesday 11th September 2024 05:44:54 PM (2 years ago) |
| Size | 3.1 GB |
| Peers | 2 Peers (2 Seeders and 0 leechers) update |
| Downloaded | 2105 times |
| Uploader | FreeCourseWeb Thank You (0) Report Torrent 00/0 |
| Comments | None |
| Uploader Comments | None |
| Tags | English |
| Seeders | 2 |
| Leechers | 0 |
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| Filename | Size |
|---|---|
| Get Bonus Downloads Here.url | 181 bytes |
| 1 - Setting up the Environment.mp4 | 91.5 MB |
| 2 - Introduction to Python Tools.mp4 | 153.5 MB |
| 10 - Strings 1.mp4 | 28.9 MB |
| 11 - Strings 2.mp4 | 28.8 MB |
| 12 - 7-Dictionaries-Sets.ipynb | 9.0 KB |
| 12 - Dictionaries.mp4 | 25.3 MB |
| 13 - Sets.mp4 | 107.3 MB |
| 3 - 1.Arithmetic.ipynb | 8.6 KB |
| 3 - Arithmetic Operations in Python.mp4 | 33.3 MB |
| 4 - 2.Data-Types.ipynb | 6.4 KB |
| 4 - Data Types.mp4 | 31.2 MB |
| 5 - 4.Variables.ipynb | 3.1 KB |
| 5 - Variables.mp4 | 30.7 MB |
| 6 - 5.Lists.ipynb | 11.2 KB |
| 6 - Intro to Lists.mp4 | 22.6 MB |
| 7 - Lists 2.mp4 | 40.8 MB |
| 8 - Lists 3.mp4 | 39.8 MB |
| 9 - 6.Tuples-and-strings.ipynb | 8.6 KB |
| 9 - Tuples.mp4 | 30.9 MB |
| 14 - 1.Pandas-Intro.ipynb | 1.5 KB |
| 14 - Introduction to Pandas.mp4 | 135.0 MB |
| 15 - 2.Pandas-Series-Part-1.ipynb | 5.2 KB |
| 15 - Pandas Series Part 1.mp4 | 19.6 MB |
| 16 - 3.Pandas-Series-Part-2.ipynb | 3.6 KB |
| 16 - Pandas Series Part 2.mp4 | 28.4 MB |
| 17 - 4.Pandas-Series-Unique.ipynb | 3.6 KB |
| 17 - Pandas Series Unique.mp4 | 24.2 MB |
| 18 - 5.Sorting-a-Series.ipynb | 6.3 KB |
| 18 - Pandas Series Sorting.mp4 | 19.7 MB |
| 19 - 6.Dataframes-Intro.ipynb | 4.5 KB |
| 19 - Introduction to DataFrames.mp4 | 19.7 MB |
| 20 - 7-Data-from-csv-file.ipynb | 2.4 KB |
| 20 - Accessing csv files.mp4 | 73.0 MB |
| 20 - titanic.csv | 58.9 KB |
| 21 - 8.Data-Inspection.ipynb | 3.7 KB |
| 21 - Data Inspection.mp4 | 54.8 MB |
| 22 - 9.Dataframes-Index.ipynb | 3.3 KB |
| 22 - Dataframe Indexing 1.mp4 | 38.4 MB |
| 23 - 11.Indexing-in-Dataframes.ipynb | 2.6 KB |
| 23 - Dataframe Indexing 2.mp4 | 17.6 MB |
| 24 - 10.Dataframe-Filter.ipynb | 2.9 KB |
| 24 - Dataframe Filter.mp4 | 25.4 MB |
| 25 - 12.Position-based-Index-iloc.ipynb | 4.0 KB |
| 25 - IPL.csv | 37.3 KB |
| 25 - Position based indexing using iloc.mp4 | 84.8 MB |
| 26 - 13.Index-based-Slicing-iloc.ipynb | 3.4 KB |
| 26 - Dataframe Slicing using iloc.mp4 | 22.9 MB |
| 26 - IPL.csv | 37.3 KB |
| 27 - 14.Label-based-Slicing-using-loc.ipynb | 92.9 KB |
| 27 - IPL.csv | 37.3 KB |
| 27 - Label based Slicing using loc.mp4 | 39.9 MB |
| 28 - 15.loc-with-numeric-index.ipynb | 2.5 KB |
| 28 - Loc with numeric index.mp4 | 14.4 MB |
| 29 - 16.Reset-index.ipynb | 3.3 KB |
| 29 - IPL.csv | 37.3 KB |
| 29 - Reset Index.mp4 | 35.5 MB |
| 30 - 17.Rename-columns.ipynb | 5.4 KB |
| 30 - Rename Columns.mp4 | 16.8 MB |
| 30 - data.csv | 16 bytes |
| 31 - 18.Conditional-Filter.ipynb | 3.8 KB |
| 31 - Conditional Filter.mp4 | 41.1 MB |
| 31 - titanic.csv | 58.9 KB |
| 32 - 19.Advanced-Filter-Dataframe.ipynb | 2.6 KB |
| 32 - Advanced Filter.mp4 | 18.4 MB |
| 32 - titanic.csv | 58.9 KB |
| 33 - 20.Handling-Missing-Values-Part-1.ipynb | 2.1 KB |
| 33 - Missing Values Part 1.mp4 | 10.2 MB |
| 33 - missing.csv | 54 bytes |
| 34 - 21.Handling-Missing-Values-Part-2.ipynb | 4.9 KB |
| 34 - Missing Values Part 2.mp4 | 54.1 MB |
| 34 - titanic.csv | 58.9 KB |
| 35 - 22.Groupby.ipynb | 5.8 KB |
| 35 - Group by.mp4 | 32.7 MB |
| 36 - 23.Introduction-to-Time-Series-Data.ipynb | 1.3 KB |
| 36 - Intro to Time Series.mp4 | 23.0 MB |
| 36 - minute.csv | 16.9 KB |
| 37 - 27-Downloading-Data-yfinance-API.ipynb | 2.8 KB |
| 37 - Downloading Data yfinance API.mp4 | 62.3 MB |
| 38 - 24.Convert-string-to-datetime-column.ipynb | 4.4 KB |
| 38 - String to Datetime.mp4 | 36.5 MB |
| 38 - minute.csv | 16.9 KB |
| 39 - 10.Accessing-Data.ipynb | 25.9 KB |
| 39 - Reading Files.mp4 | 88.0 MB |
| 39 - minute.csv | 16.9 KB |
| 40 - 11-Accessing-MySQL-Database.ipynb | 5.1 KB |
| 40 - Working with My Sql Database.mp4 | 57.0 MB |
| 41 - 25.Slice-Time-Series-Data.ipynb | 2.4 KB |
| 41 - Slice Time Series Data.mp4 | 12.1 MB |
| 41 - minute.csv | 16.9 KB |
| 42 - 28.Pivot.ipynb | 2.2 KB |
| 42 - Pivot DataFrame.mp4 | 19.5 MB |
| 42 - bank-data.csv | 244.3 KB |
| 43 - 26.Resample.ipynb | 3.5 KB |
| 43 - Resample DataFrame.mp4 | 33.3 MB |
| 43 - tick.csv | 598.1 KB |
| 44 - 29.Data-Normalization.ipynb | 2.2 KB |
| 44 - Data Normalization.mp4 | 52.4 MB |
| 44 - bank-data.csv | 244.3 KB |
| 45 - 21-Frequency-Tables.ipynb | 37.4 KB |
| 45 - Frequency Tables.mp4 | 84.6 MB |
| 45 - titanic.csv | 58.9 KB |
| 46 - 22-Pandas.ipynb | 311.5 KB |
| 46 - Visualization Part 1 Pandas.mp4 | 91.7 MB |
| 46 - diamond.csv | 4.0 KB |
| 47 - Charts-with-Matplotlibs.ipynb | 9.9 KB |
| 47 - Visualization Part 2 Matplotlib.mp4 | 64.0 MB |
| 47 - minute.csv | 16.9 KB |
| 48 - 30.Calculate-Price-Changes.ipynb | 2.1 KB |
| 48 - Calculate Price Changes.mp4 | 14.6 MB |
| 48 - daily.csv | 98.8 KB |
| 49 - 31.Calculate-Financial-Returns.ipynb | 2.1 KB |
| 49 - Calculate Financial Returns.mp4 | 8.0 MB |
| 49 - daily.csv | 98.8 KB |
| 50 - 33.TVPI-or-multiples.ipynb | 46.4 KB |
| 50 - TVPI.mp4 | 33.1 MB |
| 50 - daily.csv | 98.8 KB |
| 51 - 34.CAGR-vs-Annual-Returns.ipynb | 64.6 KB |
| 51 - CAGR.mp4 | 27.1 MB |
| 52 - 35.Geometric-Returns.ipynb | 92.7 KB |
| 52 - Geometric Returns.mp4 | 24.7 MB |
| 53 - 32.Risk-vs-Reward.ipynb | 2.3 KB |
| 53 - Risk vs Returns.mp4 | 17.3 MB |
| 53 - daily.csv | 98.8 KB |
| 54 - 36.Simple-vs-Compound-Interest.ipynb | 5.8 KB |
| 54 - Simple vs Compound Interest.mp4 | 22.8 MB |
| 55 - 37-Continuous-Compounding.ipynb | 5.1 KB |
| 55 - Continuous Compounding.mp4 | 24.2 MB |
| 56 - 38.Intro-to-Log-Returns.ipynb | 2.3 KB |
| 56 - Intro to log Returns.mp4 | 19.1 MB |
| 57 - 39.Daily-Returns-vs-Log-Returns.ipynb | 47.9 KB |
| 57 - Daily Return vs Log Returns.mp4 | 46.4 MB |
| 58 - 40.More-about-Log-Returns.ipynb | 148.8 KB |
| 58 - More About Log Returns.mp4 | 45.2 MB |
| 59 - 25.Intro-to-Statistics.ipynb | 231.5 KB |
| 59 - Descriptive Statistics.mp4 | 108.4 MB |
| 59 - marks.csv | 226 bytes |
| 60 - Five Point Summary.mp4 | 34.1 MB |
| 60 - Five-point-Summary.ipynb | 15.2 KB |
| 61 - Moving Averages.mp4 | 89.3 MB |
| 61 - Moving-Averages.ipynb | 240.3 KB |
| 61 - nifty.csv | 98.8 KB |
| 62 - 27.Confidence-Intervals.ipynb | 69.2 KB |
| 62 - Confidence Intervals.mp4 | 77.0 MB |
| 63 - 26.Distributions.ipynb | 135.3 KB |
| 63 - Statistical Distributions.mp4 | 83.9 MB |
| 64 - 28.Hypothesis.ipynb | 42.6 KB |
| 64 - Hypothesis Testing.mp4 | 87.5 MB |
| 65 - 29-Analysis-of-variance.ipynb | 21.5 KB |
| 65 - Analysis of Variance.mp4 | 40.0 MB |
| 66 - 30-Linear-Regression.ipynb | 150.5 KB |
| 66 - Linear Regression.mp4 | 78.1 MB |
| 66 - mtcars.csv | 1.7 KB |
| 67 - 31-Logistic-Regression.ipynb | 30.7 KB |
| 67 - Logistic Regression.mp4 | 56.8 MB |
| 67 - titanic.csv | 58.9 KB |
| 68 - 32-Decision-Trees.ipynb | 175.3 KB |
| 68 - Decision Trees.mp4 | 83.6 MB |
| 69 - 33-Random-Forests.ipynb | 5.8 KB |
| 69 - Random Forests.mp4 | 39.0 MB |
| Bonus Resources.txt | 386 bytes |
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