[GigaCourse.Com] Udemy - Master Statistics & Machine Learning - Intuition, Math, Code

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[GigaCourse.Com] Udemy - Master statistics & machine learning - intuition, math, code[GigaCourse.Com] Udemy - Master statistics & machine learning - intuition, math, code

NAME
[GigaCourse.Com] Udemy - Master statistics & machine learning - intuition, math, code.torrent
CATEGORY
Other
INFOHASH
4c7f614ecf69937c739c2fdba84cf93f73205b17
SIZE
12.8 GB in 95 files
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Uploaded on 08-01-2022 by our crawler pet called "Spidey".
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Description

Master statistics & machine learning: intuition, math, code

A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.

Created by Mike X Cohen
Last updated 12/2021
English
English [Auto]

For More Udemy Courses Visit: https://gigacourse.com
For More Courses Visit: https://Courseclub.me

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Files in this torrent

FILENAMESIZE
01 - Introductions/001 [Important] Getting the most out of this course.mp438.3 MB
01 - Introductions/001 [Important] Getting the most out of this course_en.srt6.1 KB
01 - Introductions/001 [Important] Getting the most out of this course_en.vtt5.4 KB
01 - Introductions/002 About using MATLAB or Python.mp427.1 MB
01 - Introductions/002 About using MATLAB or Python_en.srt5.9 KB
01 - Introductions/002 About using MATLAB or Python_en.vtt5.2 KB
01 - Introductions/003 Statistics guessing game_.mp448.4 MB
01 - Introductions/003 Statistics guessing game__en.srt13.3 KB
01 - Introductions/003 Statistics guessing game__en.vtt11.5 KB
01 - Introductions/004 Using the Q&A forum.mp424.4 MB
01 - Introductions/004 Using the Q&A forum_en.srt8.1 KB
01 - Introductions/004 Using the Q&A forum_en.vtt7.1 KB
01 - Introductions/005 (optional) Entering time-stamped notes in the Udemy video player.mp47.1 MB
01 - Introductions/005 (optional) Entering time-stamped notes in the Udemy video player_en.srt3.1 KB
01 - Introductions/005 (optional) Entering time-stamped notes in the Udemy video player_en.vtt2.7 KB
01 - Introductions/25299297-stats-intro-GuessTheTest.zip3.7 KB
02 - Math prerequisites/001 Should you memorize statistical formulas_.mp428 MB
02 - Math prerequisites/001 Should you memorize statistical formulas__en.srt4.2 KB
02 - Math prerequisites/001 Should you memorize statistical formulas__en.vtt3.7 KB
02 - Math prerequisites/002 Arithmetic and exponents.mp47.6 MB
02 - Math prerequisites/002 Arithmetic and exponents_en.srt5.6 KB
02 - Math prerequisites/002 Arithmetic and exponents_en.vtt4.9 KB
02 - Math prerequisites/003 Scientific notation.mp412.9 MB
02 - Math prerequisites/003 Scientific notation_en.srt8.7 KB
02 - Math prerequisites/003 Scientific notation_en.vtt7.5 KB
02 - Math prerequisites/004 Summation notation.mp47.7 MB
02 - Math prerequisites/004 Summation notation_en.srt6 KB
02 - Math prerequisites/004 Summation notation_en.vtt5.2 KB
02 - Math prerequisites/005 Absolute value.mp46.9 MB
02 - Math prerequisites/005 Absolute value_en.srt4.2 KB
02 - Math prerequisites/005 Absolute value_en.vtt3.7 KB
02 - Math prerequisites/006 Natural exponent and logarithm.mp412.2 MB
02 - Math prerequisites/006 Natural exponent and logarithm_en.srt8.1 KB
02 - Math prerequisites/006 Natural exponent and logarithm_en.vtt7 KB
02 - Math prerequisites/007 The logistic function.mp417.9 MB
02 - Math prerequisites/007 The logistic function_en.srt13.1 KB
02 - Math prerequisites/007 The logistic function_en.vtt11.3 KB
02 - Math prerequisites/008 Rank and tied-rank.mp412.9 MB
02 - Math prerequisites/008 Rank and tied-rank_en.srt9.5 KB
02 - Math prerequisites/008 Rank and tied-rank_en.vtt8.2 KB
03 - IMPORTANT_ Download course materials/001 Download materials for the entire course_.mp414.5 MB
03 - IMPORTANT_ Download course materials/001 Download materials for the entire course__en.srt5.4 KB
03 - IMPORTANT_ Download course materials/001 Download materials for the entire course__en.vtt4.8 KB
03 - IMPORTANT_ Download course materials/32684220-statsML.zip1.4 MB
04 - What are (is_) data_/001 Is _data_ singular or plural_______.mp410.9 MB
04 - What are (is_) data_/001 Is _data_ singular or plural________en.srt2.3 KB
04 - What are (is_) data_/001 Is _data_ singular or plural________en.vtt2 KB
04 - What are (is_) data_/002 Where do data come from and what do they mean_.mp435.5 MB
04 - What are (is_) data_/002 Where do data come from and what do they mean__en.srt8.4 KB
04 - What are (is_) data_/002 Where do data come from and what do they mean__en.vtt7.3 KB
04 - What are (is_) data_/003 Types of data_ categorical, numerical, etc.mp459.4 MB
04 - What are (is_) data_/003 Types of data_ categorical, numerical, etc_en.srt20.9 KB
04 - What are (is_) data_/003 Types of data_ categorical, numerical, etc_en.vtt18.1 KB
04 - What are (is_) data_/004 Code_ representing types of data on computers.mp447.8 MB
04 - What are (is_) data_/004 Code_ representing types of data on computers_en.srt13.1 KB
04 - What are (is_) data_/004 Code_ representing types of data on computers_en.vtt11.2 KB
04 - What are (is_) data_/005 Sample vs. population data.mp437.1 MB
04 - What are (is_) data_/005 Sample vs. population data_en.srt17.2 KB
04 - What are (is_) data_/005 Sample vs. population data_en.vtt14.9 KB
04 - What are (is_) data_/006 Samples, case reports, and anecdotes.mp417.8 MB
04 - What are (is_) data_/006 Samples, case reports, and anecdotes_en.srt7.7 KB
04 - What are (is_) data_/006 Samples, case reports, and anecdotes_en.vtt6.7 KB
04 - What are (is_) data_/007 The ethics of making up data.mp419.7 MB
04 - What are (is_) data_/007 The ethics of making up data_en.srt10.3 KB
04 - What are (is_) data_/007 The ethics of making up data_en.vtt8.9 KB
05 - Visualizing data/001 Bar plots.mp436.8 MB
05 - Visualizing data/001 Bar plots_en.srt17 KB
05 - Visualizing data/001 Bar plots_en.vtt15.3 KB
05 - Visualizing data/002 Code_ bar plots.mp4100 MB
05 - Visualizing data/002 Code_ bar plots_en.srt25.4 KB
05 - Visualizing data/002 Code_ bar plots_en.vtt22.7 KB
05 - Visualizing data/003 Box-and-whisker plots.mp411.1 MB
05 - Visualizing data/003 Box-and-whisker plots_en.srt7.8 KB
05 - Visualizing data/003 Box-and-whisker plots_en.vtt6.8 KB
05 - Visualizing data/004 Code_ box plots.mp483.7 MB
05 - Visualizing data/004 Code_ box plots_en.srt12.8 KB
05 - Visualizing data/004 Code_ box plots_en.vtt10.9 KB
05 - Visualizing data/005 _Unsupervised learning__ Boxplots of normal and uniform noise.mp48.2 MB
05 - Visualizing data/005 _Unsupervised learning__ Boxplots of normal and uniform noise_en.srt3.7 KB
05 - Visualizing data/005 _Unsupervised learning__ Boxplots of normal and uniform noise_en.vtt3.3 KB
05 - Visualizing data/006 Histograms.mp443.7 MB
05 - Visualizing data/006 Histograms_en.srt15.8 KB
05 - Visualizing data/006 Histograms_en.vtt13.7 KB
05 - Visualizing data/007 Code_ histograms.mp4133.5 MB
05 - Visualizing data/007 Code_ histograms_en.srt24.2 KB
05 - Visualizing data/007 Code_ histograms_en.vtt20.8 KB
05 - Visualizing data/008 _Unsupervised learning__ Histogram proportion.mp411.8 MB
05 - Visualizing data/008 _Unsupervised learning__ Histogram proportion_en.srt3.4 KB
05 - Visualizing data/008 _Unsupervised learning__ Histogram proportion_en.vtt3 KB
05 - Visualizing data/009 Pie charts.mp416.5 MB
05 - Visualizing data/009 Pie charts_en.srt8.5 KB
05 - Visualizing data/009 Pie charts_en.vtt7.3 KB
05 - Visualizing data/010 Code_ pie charts.mp478.9 MB
05 - Visualizing data/010 Code_ pie charts_en.srt19.4 KB
05 - Visualizing data/010 Code_ pie charts_en.vtt16.7 KB

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