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[ CourseWikia com ] Python for Data Science and Machine Learning (2024)
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Get Bonus Downloads Here.url (Size: 3.11 GB) (Files: 161)
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1 - Introduction
1 - Setting up the Environment.mp4
2 - Introduction to Python Tools.mp4
2 - Python Crash Course
10 - Strings 1.mp4
11 - Strings 2.mp4
12 - 7-Dictionaries-Sets.ipynb
12 - Dictionaries.mp4
13 - Sets.mp4
3 - 1.Arithmetic.ipynb
3 - Arithmetic Operations in Python.mp4
4 - 2.Data-Types.ipynb
4 - Data Types.mp4
5 - 4.Variables.ipynb
5 - Variables.mp4
6 - 5.Lists.ipynb
6 - Intro to Lists.mp4
7 - Lists 2.mp4
8 - Lists 3.mp4
9 - 6.Tuples-and-strings.ipynb
9 - Tuples.mp4
3 - Python Pandas
14 - 1.Pandas-Intro.ipynb
14 - Introduction to Pandas.mp4
15 - 2.Pandas-Series-Part-1.ipynb
15 - Pandas Series Part 1.mp4
16 - 3.Pandas-Series-Part-2.ipynb
16 - Pandas Series Part 2.mp4
17 - 4.Pandas-Series-Unique.ipynb
17 - Pandas Series Unique.mp4
18 - 5.Sorting-a-Series.ipynb
18 - Pandas Series Sorting.mp4
19 - 6.Dataframes-Intro.ipynb
19 - Introduction to DataFrames.mp4
20 - 7-Data-from-csv-file.ipynb
20 - Accessing csv files.mp4
20 - titanic.csv
21 - 8.Data-Inspection.ipynb
21 - Data Inspection.mp4
22 - 9.Dataframes-Index.ipynb
22 - Dataframe Indexing 1.mp4
23 - 11.Indexing-in-Dataframes.ipynb
23 - Dataframe Indexing 2.mp4
24 - 10.Dataframe-Filter.ipynb
24 - Dataframe Filter.mp4
25 - 12.Position-based-Index-iloc.ipynb
25 - IPL.csv
25 - Position based indexing using iloc.mp4
26 - 13.Index-based-Slicing-iloc.ipynb
26 - Dataframe Slicing using iloc.mp4
26 - IPL.csv
27 - 14.Label-based-Slicing-using-loc.ipynb
27 - IPL.csv
27 - Label based Slicing using loc.mp4
28 - 15.loc-with-numeric-index.ipynb
28 - Loc with numeric index.mp4
29 - 16.Reset-index.ipynb
29 - IPL.csv
29 - Reset Index.mp4
30 - 17.Rename-columns.ipynb
30 - Rename Columns.mp4
30 - data.csv
31 - 18.Conditional-Filter.ipynb
31 - Conditional Filter.mp4
31 - titanic.csv
32 - 19.Advanced-Filter-Dataframe.ipynb
32 - Advanced Filter.mp4
32 - titanic.csv
33 - 20.Handling-Missing-Values-Part-1.ipynb
33 - Missing Values Part 1.mp4
33 - missing.csv
34 - 21.Handling-Missing-Values-Part-2.ipynb
34 - Missing Values Part 2.mp4
34 - titanic.csv
35 - 22.Groupby.ipynb
35 - Group by.mp4
4 - Data Exploration and Cleaning
36 - 23.Introduction-to-Time-Series-Data.ipynb
36 - Intro to Time Series.mp4
36 - minute.csv
37 - 27-Downloading-Data-yfinance-API.ipynb
37 - Downloading Data yfinance API.mp4
38 - 24.Convert-string-to-datetime-column.ipynb
38 - String to Datetime.mp4
38 - minute.csv
39 - 10.Accessing-Data.ipynb
39 - Reading Files.mp4
39 - minute.csv
40 - 11-Accessing-MySQL-Database.ipynb
40 - Working with My Sql Database.mp4
41 - 25.Slice-Time-Series-Data.ipynb
41 - Slice Time Series Data.mp4
41 - minute.csv
42 - 28.Pivot.ipynb
42 - Pivot DataFrame.mp4
42 - bank-data.csv
43 - 26.Resample.ipynb
43 - Resample DataFrame.mp4
43 - tick.csv
44 - 29.Data-Normalization.ipynb
44 - Data Normalization.mp4
44 - bank-data.csv
45 - 21-Frequency-Tables.ipynb
45 - Frequency Tables.mp4
45 - titanic.csv
46 - 22-Pandas.ipynb
46 - Visualization Part 1 Pandas.mp4
46 - diamond.csv
47 - Charts-with-Matplotlibs.ipynb
47 - Visualization Part 2 Matplotlib.mp4
47 - minute.csv
5 - Financial Returns
48 - 30.Calculate-Price-Changes.ipynb
48 - Calculate Price Changes.mp4
48 - daily.csv
49 - 31.Calculate-Financial-Returns.ipynb
49 - Calculate Financial Returns.mp4
49 - daily.csv
50 - 33.TVPI-or-multiples.ipynb
50 - TVPI.mp4
50 - daily.csv
51 - 34.CAGR-vs-Annual-Returns.ipynb
51 - CAGR.mp4
52 - 35.Geometric-Returns.ipynb
52 - Geometric Returns.mp4
53 - 32.Risk-vs-Reward.ipynb
53 - Risk vs Returns.mp4
53 - daily.csv
54 - 36.Simple-vs-Compound-Interest.ipynb
54 - Simple vs Compound Interest.mp4
55 - 37-Continuous-Compounding.ipynb
55 - Continuous Compounding.mp4
56 - 38.Intro-to-Log-Returns.ipynb
56 - Intro to log Returns.mp4
57 - 39.Daily-Returns-vs-Log-Returns.ipynb
57 - Daily Return vs Log Returns.mp4
58 - 40.More-about-Log-Returns.ipynb
58 - More About Log Returns.mp4
6 - Basic Statistics
59 - 25.Intro-to-Statistics.ipynb
59 - Descriptive Statistics.mp4
59 - marks.csv
60 - Five Point Summary.mp4
60 - Five-point-Summary.ipynb
61 - Moving Averages.mp4
61 - Moving-Averages.ipynb
61 - nifty.csv
62 - 27.Confidence-Intervals.ipynb
62 - Confidence Intervals.mp4
7 - Inferential Statistics
63 - 26.Distributions.ipynb
63 - Statistical Distributions.mp4
64 - 28.Hypothesis.ipynb
64 - Hypothesis Testing.mp4
65 - 29-Analysis-of-variance.ipynb
65 - Analysis of Variance.mp4
8 - Predictive Modeling
66 - 30-Linear-Regression.ipynb
66 - Linear Regression.mp4
66 - mtcars.csv
67 - 31-Logistic-Regression.ipynb
67 - Logistic Regression.mp4
67 - titanic.csv
68 - 32-Decision-Trees.ipynb
68 - Decision Trees.mp4
69 - 33-Random-Forests.ipynb
69 - Random Forests.mp4
Bonus Resources.txt
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