CourseWikia com Python for Data Science and Machine Learning 2024

CourseWikia com Python for Data Science and Machine Learning 2024

Name	[ CourseWikia.com ] Python for Data Science and Machine Learning (2024)	DOWNLOAD Copy Link
Total Size	3.3 GB
Total Files	161
Last Seen	2024-12-22 00:45
Hash	A9D21C30345795FF7D99F04ED9BEED0526DB4A90

/
Get Bonus Downloads Here.url	0.2 KB
/1 - Introduction/
1 - Setting up the Environment.mp4	95.9 MB
2 - Introduction to Python Tools.mp4	160.9 MB
/.../2 - Python Crash Course/
10 - Strings 1.mp4	30.3 MB
11 - Strings 2.mp4	30.2 MB
12 - 7-Dictionaries-Sets.ipynb	9.2 KB
12 - Dictionaries.mp4	26.5 MB
13 - Sets.mp4	112.5 MB
3 - 1.Arithmetic.ipynb	8.8 KB
3 - Arithmetic Operations in Python.mp4	34.9 MB
4 - 2.Data-Types.ipynb	6.5 KB
4 - Data Types.mp4	32.7 MB
5 - 4.Variables.ipynb	3.2 KB
5 - Variables.mp4	32.2 MB
6 - 5.Lists.ipynb	11.4 KB
6 - Intro to Lists.mp4	23.7 MB
7 - Lists 2.mp4	42.8 MB
8 - Lists 3.mp4	41.7 MB
9 - 6.Tuples-and-strings.ipynb	8.9 KB
9 - Tuples.mp4	32.4 MB
/3 - Python Pandas/
14 - 1.Pandas-Intro.ipynb	1.6 KB
14 - Introduction to Pandas.mp4	141.6 MB
15 - 2.Pandas-Series-Part-1.ipynb	5.3 KB
15 - Pandas Series Part 1.mp4	20.6 MB
16 - 3.Pandas-Series-Part-2.ipynb	3.7 KB
16 - Pandas Series Part 2.mp4	29.8 MB
17 - 4.Pandas-Series-Unique.ipynb	3.7 KB
17 - Pandas Series Unique.mp4	25.3 MB
18 - 5.Sorting-a-Series.ipynb	6.5 KB
18 - Pandas Series Sorting.mp4	20.7 MB
19 - 6.Dataframes-Intro.ipynb	4.7 KB
19 - Introduction to DataFrames.mp4	20.6 MB
20 - 7-Data-from-csv-file.ipynb	2.5 KB
20 - Accessing csv files.mp4	76.6 MB
20 - titanic.csv	60.3 KB
21 - 8.Data-Inspection.ipynb	3.8 KB
21 - Data Inspection.mp4	57.5 MB
22 - 9.Dataframes-Index.ipynb	3.3 KB
22 - Dataframe Indexing 1.mp4	40.3 MB
23 - 11.Indexing-in-Dataframes.ipynb	2.7 KB
23 - Dataframe Indexing 2.mp4	18.5 MB
24 - 10.Dataframe-Filter.ipynb	3.0 KB
24 - Dataframe Filter.mp4	26.6 MB
25 - 12.Position-based-Index-iloc.ipynb	4.1 KB
25 - IPL.csv	38.2 KB
25 - Position based indexing using iloc.mp4	89.0 MB
26 - 13.Index-based-Slicing-iloc.ipynb	3.5 KB
26 - Dataframe Slicing using iloc.mp4	24.0 MB
26 - IPL.csv	38.2 KB
27 - 14.Label-based-Slicing-using-loc.ipynb	95.1 KB
27 - IPL.csv	38.2 KB
27 - Label based Slicing using loc.mp4	41.8 MB
28 - 15.loc-with-numeric-index.ipynb	2.6 KB
28 - Loc with numeric index.mp4	15.1 MB
29 - 16.Reset-index.ipynb	3.4 KB
29 - IPL.csv	38.2 KB
29 - Reset Index.mp4	37.2 MB
30 - 17.Rename-columns.ipynb	5.5 KB
30 - Rename Columns.mp4	17.7 MB
30 - data.csv	0.0 KB
31 - 18.Conditional-Filter.ipynb	3.9 KB
31 - Conditional Filter.mp4	43.1 MB
31 - titanic.csv	60.3 KB
32 - 19.Advanced-Filter-Dataframe.ipynb	2.6 KB
32 - Advanced Filter.mp4	19.3 MB
32 - titanic.csv	60.3 KB
33 - 20.Handling-Missing-Values-Part-1.ipynb	2.1 KB
33 - Missing Values Part 1.mp4	10.7 MB
33 - missing.csv	0.1 KB
34 - 21.Handling-Missing-Values-Part-2.ipynb	5.1 KB
34 - Missing Values Part 2.mp4	56.7 MB
34 - titanic.csv	60.3 KB
35 - 22.Groupby.ipynb	5.9 KB
35 - Group by.mp4	34.3 MB
/.../4 - Data Exploration and Cleaning/
36 - 23.Introduction-to-Time-Series-Data.ipynb	1.3 KB
36 - Intro to Time Series.mp4	24.1 MB
36 - minute.csv	17.3 KB
37 - 27-Downloading-Data-yfinance-API.ipynb	2.9 KB
37 - Downloading Data yfinance API.mp4	65.4 MB
38 - 24.Convert-string-to-datetime-column.ipynb	4.5 KB
38 - String to Datetime.mp4	38.2 MB
38 - minute.csv	17.3 KB
39 - 10.Accessing-Data.ipynb	26.5 KB
39 - Reading Files.mp4	92.3 MB
39 - minute.csv	17.3 KB
40 - 11-Accessing-MySQL-Database.ipynb	5.3 KB
40 - Working with My Sql Database.mp4	59.7 MB
41 - 25.Slice-Time-Series-Data.ipynb	2.4 KB
41 - Slice Time Series Data.mp4	12.7 MB
41 - minute.csv	17.3 KB
42 - 28.Pivot.ipynb	2.2 KB
42 - Pivot DataFrame.mp4	20.5 MB
42 - bank-data.csv	250.1 KB
43 - 26.Resample.ipynb	3.5 KB
43 - Resample DataFrame.mp4	35.0 MB
43 - tick.csv	612.5 KB
44 - 29.Data-Normalization.ipynb	2.3 KB
44 - Data Normalization.mp4	54.9 MB
44 - bank-data.csv	250.1 KB
45 - 21-Frequency-Tables.ipynb	38.3 KB
45 - Frequency Tables.mp4	88.7 MB
45 - titanic.csv	60.3 KB
46 - 22-Pandas.ipynb	319.0 KB
46 - Visualization Part 1 Pandas.mp4	96.1 MB
46 - diamond.csv	4.1 KB
47 - Charts-with-Matplotlibs.ipynb	10.1 KB
47 - Visualization Part 2 Matplotlib.mp4	67.1 MB
47 - minute.csv	17.3 KB
/5 - Financial Returns/
48 - 30.Calculate-Price-Changes.ipynb	2.1 KB
48 - Calculate Price Changes.mp4	15.4 MB
48 - daily.csv	101.1 KB
49 - 31.Calculate-Financial-Returns.ipynb	2.2 KB
49 - Calculate Financial Returns.mp4	8.4 MB
49 - daily.csv	101.1 KB
50 - 33.TVPI-or-multiples.ipynb	47.5 KB
50 - TVPI.mp4	34.7 MB
50 - daily.csv	101.1 KB
51 - 34.CAGR-vs-Annual-Returns.ipynb	66.1 KB
51 - CAGR.mp4	28.4 MB
52 - 35.Geometric-Returns.ipynb	94.9 KB
52 - Geometric Returns.mp4	25.9 MB
53 - 32.Risk-vs-Reward.ipynb	2.4 KB
53 - Risk vs Returns.mp4	18.2 MB
53 - daily.csv	101.1 KB
54 - 36.Simple-vs-Compound-Interest.ipynb	6.0 KB
54 - Simple vs Compound Interest.mp4	23.9 MB
55 - 37-Continuous-Compounding.ipynb	5.3 KB
55 - Continuous Compounding.mp4	25.3 MB
56 - 38.Intro-to-Log-Returns.ipynb	2.4 KB
56 - Intro to log Returns.mp4	20.0 MB
57 - 39.Daily-Returns-vs-Log-Returns.ipynb	49.1 KB
57 - Daily Return vs Log Returns.mp4	48.6 MB
58 - 40.More-about-Log-Returns.ipynb	152.3 KB
58 - More About Log Returns.mp4	47.4 MB
/6 - Basic Statistics/
59 - 25.Intro-to-Statistics.ipynb	237.1 KB
59 - Descriptive Statistics.mp4	113.7 MB
59 - marks.csv	0.2 KB
60 - Five Point Summary.mp4	35.7 MB
60 - Five-point-Summary.ipynb	15.5 KB
61 - Moving Averages.mp4	93.7 MB
61 - Moving-Averages.ipynb	246.0 KB
61 - nifty.csv	101.1 KB
62 - 27.Confidence-Intervals.ipynb	70.9 KB
62 - Confidence Intervals.mp4	80.7 MB
/7 - Inferential Statistics/
63 - 26.Distributions.ipynb	138.5 KB
63 - Statistical Distributions.mp4	87.9 MB
64 - 28.Hypothesis.ipynb	43.6 KB
64 - Hypothesis Testing.mp4	91.8 MB
65 - 29-Analysis-of-variance.ipynb	22.0 KB
65 - Analysis of Variance.mp4	41.9 MB
/8 - Predictive Modeling/
66 - 30-Linear-Regression.ipynb	154.1 KB
66 - Linear Regression.mp4	81.9 MB
66 - mtcars.csv	1.7 KB
67 - 31-Logistic-Regression.ipynb	31.4 KB
67 - Logistic Regression.mp4	59.6 MB
67 - titanic.csv	60.3 KB
68 - 32-Decision-Trees.ipynb	179.5 KB
68 - Decision Trees.mp4	87.6 MB
69 - 33-Random-Forests.ipynb	6.0 KB
69 - Random Forests.mp4	40.8 MB
/~Get Your Files Here !/
Bonus Resources.txt	0.4 KB
Total files 161