Python for Data Science and Machine Learning (2024)

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[ CourseWikia.com ] Python for Data Science and Machine Learning (2024)
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - Setting up the Environment.mp4 (91.5 MB)
    • 2 - Introduction to Python Tools.mp4 (153.5 MB)
    2 - Python Crash Course
    • 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)
    3 - Python Pandas
    • 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 (0.0 KB)
    • 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 (0.1 KB)
    • 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)
    4 - Data Exploration and Cleaning
    • 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)
    5 - Financial Returns
    • 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

Description

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.



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seeders:38
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Python for Data Science and Machine Learning (2024)

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3.1 GB
seeders:38
leechers:29
Python for Data Science and Machine Learning (2024)

Torrent hash: A9D21C30345795FF7D99F04ED9BEED0526DB4A90