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| 10 - Strings 1.mp4 |
28.89Мб |
| 11 - Strings 2.mp4 |
28.84Мб |
| 12 - 7-Dictionaries-Sets.ipynb |
8.98Кб |
| 12 - Dictionaries.mp4 |
25.29Мб |
| 13 - Sets.mp4 |
107.25Мб |
| 14 - 1.Pandas-Intro.ipynb |
1.54Кб |
| 14 - Introduction to Pandas.mp4 |
135.00Мб |
| 15 - 2.Pandas-Series-Part-1.ipynb |
5.22Кб |
| 15 - Pandas Series Part 1.mp4 |
19.60Мб |
| 16 - 3.Pandas-Series-Part-2.ipynb |
3.61Кб |
| 16 - Pandas Series Part 2.mp4 |
28.39Мб |
| 17 - 4.Pandas-Series-Unique.ipynb |
3.63Кб |
| 17 - Pandas Series Unique.mp4 |
24.16Мб |
| 18 - 5.Sorting-a-Series.ipynb |
6.34Кб |
| 18 - Pandas Series Sorting.mp4 |
19.74Мб |
| 19 - 6.Dataframes-Intro.ipynb |
4.55Кб |
| 19 - Introduction to DataFrames.mp4 |
19.69Мб |
| 1 - Setting up the Environment.mp4 |
91.45Мб |
| 20 - 7-Data-from-csv-file.ipynb |
2.41Кб |
| 20 - Accessing csv files.mp4 |
73.02Мб |
| 20 - titanic.csv |
58.89Кб |
| 21 - 8.Data-Inspection.ipynb |
3.72Кб |
| 21 - Data Inspection.mp4 |
54.80Мб |
| 22 - 9.Dataframes-Index.ipynb |
3.26Кб |
| 22 - Dataframe Indexing 1.mp4 |
38.45Мб |
| 23 - 11.Indexing-in-Dataframes.ipynb |
2.65Кб |
| 23 - Dataframe Indexing 2.mp4 |
17.61Мб |
| 24 - 10.Dataframe-Filter.ipynb |
2.91Кб |
| 24 - Dataframe Filter.mp4 |
25.39Мб |
| 25 - 12.Position-based-Index-iloc.ipynb |
3.99Кб |
| 25 - IPL.csv |
37.27Кб |
| 25 - Position based indexing using iloc.mp4 |
84.83Мб |
| 26 - 13.Index-based-Slicing-iloc.ipynb |
3.45Кб |
| 26 - Dataframe Slicing using iloc.mp4 |
22.86Мб |
| 26 - IPL.csv |
37.27Кб |
| 27 - 14.Label-based-Slicing-using-loc.ipynb |
92.86Кб |
| 27 - IPL.csv |
37.27Кб |
| 27 - Label based Slicing using loc.mp4 |
39.88Мб |
| 28 - 15.loc-with-numeric-index.ipynb |
2.53Кб |
| 28 - Loc with numeric index.mp4 |
14.38Мб |
| 29 - 16.Reset-index.ipynb |
3.34Кб |
| 29 - IPL.csv |
37.27Кб |
| 29 - Reset Index.mp4 |
35.47Мб |
| 2 - Introduction to Python Tools.mp4 |
153.47Мб |
| 30 - 17.Rename-columns.ipynb |
5.38Кб |
| 30 - data.csv |
16б |
| 30 - Rename Columns.mp4 |
16.83Мб |
| 3 - 1.Arithmetic.ipynb |
8.57Кб |
| 31 - 18.Conditional-Filter.ipynb |
3.82Кб |
| 31 - Conditional Filter.mp4 |
41.08Мб |
| 31 - titanic.csv |
58.89Кб |
| 32 - 19.Advanced-Filter-Dataframe.ipynb |
2.58Кб |
| 32 - Advanced Filter.mp4 |
18.36Мб |
| 32 - titanic.csv |
58.89Кб |
| 33 - 20.Handling-Missing-Values-Part-1.ipynb |
2.10Кб |
| 33 - missing.csv |
54б |
| 33 - Missing Values Part 1.mp4 |
10.23Мб |
| 34 - 21.Handling-Missing-Values-Part-2.ipynb |
4.94Кб |
| 34 - Missing Values Part 2.mp4 |
54.07Мб |
| 34 - titanic.csv |
58.89Кб |
| 35 - 22.Groupby.ipynb |
5.79Кб |
| 35 - Group by.mp4 |
32.72Мб |
| 36 - 23.Introduction-to-Time-Series-Data.ipynb |
1.31Кб |
| 36 - Intro to Time Series.mp4 |
22.97Мб |
| 36 - minute.csv |
16.92Кб |
| 37 - 27-Downloading-Data-yfinance-API.ipynb |
2.82Кб |
| 37 - Downloading Data yfinance API.mp4 |
62.32Мб |
| 38 - 24.Convert-string-to-datetime-column.ipynb |
4.36Кб |
| 38 - minute.csv |
16.92Кб |
| 38 - String to Datetime.mp4 |
36.48Мб |
| 39 - 10.Accessing-Data.ipynb |
25.89Кб |
| 39 - minute.csv |
16.92Кб |
| 39 - Reading Files.mp4 |
88.00Мб |
| 3 - Arithmetic Operations in Python.mp4 |
33.28Мб |
| 40 - 11-Accessing-MySQL-Database.ipynb |
5.15Кб |
| 40 - Working with My Sql Database.mp4 |
56.98Мб |
| 41 - 25.Slice-Time-Series-Data.ipynb |
2.38Кб |
| 41 - minute.csv |
16.92Кб |
| 41 - Slice Time Series Data.mp4 |
12.13Мб |
| 4 - 2.Data-Types.ipynb |
6.38Кб |
| 42 - 28.Pivot.ipynb |
2.18Кб |
| 42 - bank-data.csv |
244.29Кб |
| 42 - Pivot DataFrame.mp4 |
19.53Мб |
| 43 - 26.Resample.ipynb |
3.45Кб |
| 43 - Resample DataFrame.mp4 |
33.33Мб |
| 43 - tick.csv |
598.14Кб |
| 44 - 29.Data-Normalization.ipynb |
2.25Кб |
| 44 - bank-data.csv |
244.29Кб |
| 44 - Data Normalization.mp4 |
52.40Мб |
| 45 - 21-Frequency-Tables.ipynb |
37.43Кб |
| 45 - Frequency Tables.mp4 |
84.63Мб |
| 45 - titanic.csv |
58.89Кб |
| 46 - 22-Pandas.ipynb |
311.52Кб |
| 46 - diamond.csv |
3.99Кб |
| 46 - Visualization Part 1 Pandas.mp4 |
91.67Мб |
| 47 - Charts-with-Matplotlibs.ipynb |
9.89Кб |
| 47 - minute.csv |
16.92Кб |
| 47 - Visualization Part 2 Matplotlib.mp4 |
64.02Мб |
| 48 - 30.Calculate-Price-Changes.ipynb |
2.10Кб |
| 48 - Calculate Price Changes.mp4 |
14.64Мб |
| 48 - daily.csv |
98.76Кб |
| 49 - 31.Calculate-Financial-Returns.ipynb |
2.12Кб |
| 49 - Calculate Financial Returns.mp4 |
7.99Мб |
| 49 - daily.csv |
98.76Кб |
| 4 - Data Types.mp4 |
31.20Мб |
| 50 - 33.TVPI-or-multiples.ipynb |
46.42Кб |
| 50 - daily.csv |
98.76Кб |
| 50 - TVPI.mp4 |
33.09Мб |
| 51 - 34.CAGR-vs-Annual-Returns.ipynb |
64.58Кб |
| 51 - CAGR.mp4 |
27.08Мб |
| 52 - 35.Geometric-Returns.ipynb |
92.70Кб |
| 52 - Geometric Returns.mp4 |
24.68Мб |
| 53 - 32.Risk-vs-Reward.ipynb |
2.31Кб |
| 53 - daily.csv |
98.76Кб |
| 53 - Risk vs Returns.mp4 |
17.32Мб |
| 5 - 4.Variables.ipynb |
3.13Кб |
| 54 - 36.Simple-vs-Compound-Interest.ipynb |
5.82Кб |
| 54 - Simple vs Compound Interest.mp4 |
22.82Мб |
| 55 - 37-Continuous-Compounding.ipynb |
5.13Кб |
| 55 - Continuous Compounding.mp4 |
24.17Мб |
| 56 - 38.Intro-to-Log-Returns.ipynb |
2.33Кб |
| 56 - Intro to log Returns.mp4 |
19.09Мб |
| 57 - 39.Daily-Returns-vs-Log-Returns.ipynb |
47.92Кб |
| 57 - Daily Return vs Log Returns.mp4 |
46.38Мб |
| 58 - 40.More-about-Log-Returns.ipynb |
148.77Кб |
| 58 - More About Log Returns.mp4 |
45.21Мб |
| 59 - 25.Intro-to-Statistics.ipynb |
231.53Кб |
| 59 - Descriptive Statistics.mp4 |
108.43Мб |
| 59 - marks.csv |
226б |
| 5 - Variables.mp4 |
30.69Мб |
| 60 - Five-point-Summary.ipynb |
15.17Кб |
| 60 - Five Point Summary.mp4 |
34.09Мб |
| 61 - Moving-Averages.ipynb |
240.28Кб |
| 61 - Moving Averages.mp4 |
89.34Мб |
| 61 - nifty.csv |
98.76Кб |
| 62 - 27.Confidence-Intervals.ipynb |
69.20Кб |
| 62 - Confidence Intervals.mp4 |
77.00Мб |
| 63 - 26.Distributions.ipynb |
135.25Кб |
| 63 - Statistical Distributions.mp4 |
83.86Мб |
| 64 - 28.Hypothesis.ipynb |
42.58Кб |
| 64 - Hypothesis Testing.mp4 |
87.52Мб |
| 6 - 5.Lists.ipynb |
11.16Кб |
| 65 - 29-Analysis-of-variance.ipynb |
21.48Кб |
| 65 - Analysis of Variance.mp4 |
40.00Мб |
| 66 - 30-Linear-Regression.ipynb |
150.51Кб |
| 66 - Linear Regression.mp4 |
78.08Мб |
| 66 - mtcars.csv |
1.66Кб |
| 67 - 31-Logistic-Regression.ipynb |
30.67Кб |
| 67 - Logistic Regression.mp4 |
56.83Мб |
| 67 - titanic.csv |
58.89Кб |
| 68 - 32-Decision-Trees.ipynb |
175.26Кб |
| 68 - Decision Trees.mp4 |
83.58Мб |
| 69 - 33-Random-Forests.ipynb |
5.81Кб |
| 69 - Random Forests.mp4 |
38.95Мб |
| 6 - Intro to Lists.mp4 |
22.57Мб |
| 7 - Lists 2.mp4 |
40.85Мб |
| 8 - Lists 3.mp4 |
39.81Мб |
| 9 - 6.Tuples-and-strings.ipynb |
8.65Кб |
| 9 - Tuples.mp4 |
30.94Мб |
| Bonus Resources.txt |
386б |
| Get Bonus Downloads Here.url |
181б |