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Python for Data Science and Machine Learning 2024 CourseWikia

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Files:

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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