| 1 - Setting up the Environment.mp4 | 91.5 MB | ||
| 10 - Strings 1.mp4 | 28.9 MB | ||
| 11 - Strings 2.mp4 | 28.8 MB | ||
| 12 - 7-Dictionaries-Sets.ipynb | 9 KB | ||
| 12 - Dictionaries.mp4 | 25.3 MB | ||
| 13 - Sets.mp4 | 107.3 MB | ||
| 14 - 1.Pandas-Intro.ipynb | 1.5 KB | ||
| 14 - Introduction to Pandas.mp4 | 135 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 | ||
| 2 - Introduction to Python Tools.mp4 | 153.5 MB | ||
| 20 - 7-Data-from-csv-file.ipynb | 2.4 KB | ||
| 20 - Accessing csv files.mp4 | 73 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 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 | ||
| 3 - 1.Arithmetic.ipynb | 8.6 KB | ||
| 3 - Arithmetic Operations in Python.mp4 | 33.3 MB | ||
| 30 - 17.Rename-columns.ipynb | 5.4 KB | ||
| 30 - Rename Columns.mp4 | 16.8 MB | ||
| 30 - data.csv | 0 B | ||
| 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 | 102.4 B | ||
| 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 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 MB | ||
| 39 - minute.csv | 16.9 KB | ||
| 4 - 2.Data-Types.ipynb | 6.4 KB | ||
| 4 - Data Types.mp4 | 31.2 MB | ||
| 40 - 11-Accessing-MySQL-Database.ipynb | 5.1 KB | ||
| 40 - Working with My Sql Database.mp4 | 57 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 KB | ||
| 47 - Charts-with-Matplotlibs.ipynb | 9.9 KB | ||
| 47 - Visualization Part 2 Matplotlib.mp4 | 64 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 MB | ||
| 49 - daily.csv | 98.8 KB | ||
| 5 - 4.Variables.ipynb | 3.1 KB | ||
| 5 - Variables.mp4 | 30.7 MB | ||
| 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 | 204.8 B | ||
| 6 - 5.Lists.ipynb | 11.2 KB | ||
| 6 - Intro to Lists.mp4 | 22.6 MB | ||
| 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 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 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 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 | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 161 total files | |||
Python for Data Science & Machine Learning (2024)
https://CourseWikia.com
Published 9/2024
Duration: 7h20m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 3.1 GB
Genre: eLearning | Language: English
Learn to use Pandas, Statistics , Matplotlib , Scikit-Learn , Machine Learning, and more!
What you'll learn
Learn the basics of Python Programming
Collect, Clean & Prepare data before Analysis
Learn to visualize data using various tools
Learn to use Python for Statistics
Learn to use Python for Machine Learning
Requirements
No programming experience needed. You will learn everything you need to know.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 234.3 MB | SeedHash | 1 week | 23 | 7 | |
| 1.8 GB | freecoursewb | 3 weeks | 49 | 5 | |
| 2.2 GB | freecoursewb | 3 weeks | 34 | 5 | |
| 1 GB | freecoursewb | 1 month | 0 | 0 | |
|
Udemy - Python Programming for Beginners - Learn Python from Scratch Posted by
freecoursewb in Other
|
3.9 GB | freecoursewb | 1 month | 41 | 6 |
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