DevCourseWeb com Udemy Probability Stats The Foundations Of Machine Learning

DevCourseWeb com Udemy Probability Stats The Foundations Of Machine Learning

Name	[ DevCourseWeb.com ] Udemy - Probability - Stats - The Foundations Of Machine Learning	DOWNLOAD Copy Link
Total Size	2.6 GB
Total Files	154
Last Seen	2024-10-04 23:42
Hash	640531A7ED9BCCBD56CFC675135D9585316FE35F

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Get Bonus Downloads Here.url	0.2 KB
/.../1 - Diving in with code/
1 - Code env setup and Python crash course.mp4	172.6 MB
2 - Getting started with code Feel of data.mp4	88.5 MB
3 - Foundations data types and representing data English.srt	35.7 KB
3 - Foundations data types and representing data.mp4	152.1 MB
4 - Practical note onehot vector encoding English.srt	8.2 KB
4 - Practical note onehot vector encoding.mp4	30.6 MB
5 - Exploring data types in code English.srt	22.0 KB
5 - Exploring data types in code.mp4	146.7 MB
6 - Central tendency mean median mode.mp4	124.3 MB
7 - Section Review Tasks.html	2.2 KB
/.../1 - Diving in with code/__MACOSX/
_pdfs	0.2 KB
_prob-cs	0.2 KB
/.../1 - Diving in with code/__MACOSX/pdfs/
_01-intro-to-data.pdf	0.3 KB
_02-averages.pdf	0.3 KB
_03-variance.pdf	0.3 KB
_05-probability.pdf	0.2 KB
_06-counting.pdf	0.2 KB
_06-prob-rules.pdf	0.3 KB
_07-bayes-rule.pdf	0.3 KB
_08-random-variables.pdf	0.2 KB
_09-distributions.pdf	0.2 KB
_10-continuous-distributions.pdf	0.2 KB
_11-expected-values.pdf	0.2 KB
_12-entropy.pdf	0.2 KB
_13-mcmc.pdf	0.2 KB
_14-kl-divergence.pdf	0.2 KB
/.../1 - Diving in with code/__MACOSX/prob-cs/
_.DS_Store	0.1 KB
_.ipynb_checkpoints	0.2 KB
_00-basic-python-crash-course.ipynb	0.2 KB
_00-nhanes_data_basics.ipynb	0.2 KB
_01-data-types.ipynb	0.2 KB
_02-studying-variables.ipynb	0.2 KB
_03-dispersion.ipynb	0.2 KB
_04-coin-flips.ipynb	0.2 KB
_05-spam-detection.ipynb	0.2 KB
_06-distributions.ipynb	0.2 KB
_06-joints-and-marginals.ipynb	0.2 KB
_07-decision-tree.ipynb	0.2 KB
_08-bayesian-inference.ipynb	0.2 KB
_data	0.2 KB
/.../1 - Diving in with code/__MACOSX/prob-cs/data/
_.ipynb_checkpoints	0.2 KB
_nhanes_2015_2016.csv	0.2 KB
_sleep_data.csv	0.2 KB
_zoo.data	0.2 KB
_zoo.names	0.2 KB
/.../1 - Diving in with code/__MACOSX/prob-cs/data/ipynb_checkpoints/
_nhanes_2015_2016-checkpoint.csv	0.2 KB
_sleep_data-checkpoint.csv	0.2 KB
_zoo-checkpoint.data	0.2 KB
/.../1 - Diving in with code/__MACOSX/prob-cs/ipynb_checkpoints/
_00-basic-python-crash-course-checkpoint.ipynb	0.2 KB
_00-nhanes_data_basics-checkpoint.ipynb	0.2 KB
_01-data-types-checkpoint.ipynb	0.2 KB
_02-studying-variables-checkpoint.ipynb	0.2 KB
_03-dispersion-checkpoint.ipynb	0.2 KB
_04-coin-flips-checkpoint.ipynb	0.2 KB
_05-spam-detection-checkpoint.ipynb	0.2 KB
_06-distributions-checkpoint.ipynb	0.2 KB
_06-joints-and-marginals-checkpoint.ipynb	0.2 KB
_07-decision-tree-checkpoint.ipynb	0.2 KB
_08-bayesian-inference-checkpoint.ipynb	0.2 KB
_Untitled-checkpoint.ipynb	0.2 KB
/.../1 - Diving in with code/pdfs/
01-intro-to-data.pdf	2.7 MB
02-averages.pdf	1.1 MB
03-variance.pdf	1.0 MB
05-probability.pdf	4.9 MB
06-counting.pdf	5.8 MB
06-prob-rules.pdf	7.1 MB
07-bayes-rule.pdf	6.5 MB
08-random-variables.pdf	6.1 MB
09-distributions.pdf	3.6 MB
10-continuous-distributions.pdf	6.0 MB
11-expected-values.pdf	1.7 MB
12-entropy.pdf	5.2 MB
13-mcmc.pdf	3.3 MB
14-kl-divergence.pdf	2.8 MB
/.../1 - Diving in with code/prob-cs/
00-basic-python-crash-course.ipynb	47.5 KB
00-nhanes_data_basics.ipynb	117.9 KB
01-data-types.ipynb	9.2 KB
02-studying-variables.ipynb	303.6 KB
03-dispersion.ipynb	89.1 KB
04-coin-flips.ipynb	151.9 KB
05-spam-detection.ipynb	16.3 KB
06-distributions.ipynb	302.7 KB
06-joints-and-marginals.ipynb	264.8 KB
07-decision-tree.ipynb	30.8 KB
08-bayesian-inference.ipynb	2.8 KB
DS_Store	6.1 KB
/.../1 - Diving in with code/prob-cs/data/ipynb_checkpoints/
nhanes_2015_2016-checkpoint.csv	762.4 KB
sleep_data-checkpoint.csv	287.4 KB
zoo-checkpoint.data	4.1 KB
/.../1 - Diving in with code/prob-cs/data/
nhanes_2015_2016.csv	762.4 KB
sleep_data.csv	287.4 KB
zoo.data	4.1 KB
zoo.names	2.6 KB
/.../1 - Diving in with code/prob-cs/ipynb_checkpoints/
00-basic-python-crash-course-checkpoint.ipynb	47.5 KB
00-nhanes_data_basics-checkpoint.ipynb	117.9 KB
01-data-types-checkpoint.ipynb	2.9 KB
02-studying-variables-checkpoint.ipynb	303.6 KB
03-dispersion-checkpoint.ipynb	7.3 KB
04-coin-flips-checkpoint.ipynb	9.3 KB
05-spam-detection-checkpoint.ipynb	14.5 KB
06-distributions-checkpoint.ipynb	52.4 KB
06-joints-and-marginals-checkpoint.ipynb	7.3 KB
07-decision-tree-checkpoint.ipynb	30.8 KB
08-bayesian-inference-checkpoint.ipynb	2.8 KB
Untitled-checkpoint.ipynb	0.1 KB
/.../2 - Measures of Spread/
10 - Section Review Tasks.html	0.5 KB
8 - Dispersion and spread in data variance standard deviation.mp4	45.1 MB
9 - Dispersion exploration through code English.srt	17.2 KB
9 - Dispersion exploration through code.mp4	69.1 MB
/.../3 - Applications and Rules for Probability/
11 - Intro to uncertainty probability intuition.mp4	60.3 MB
12 - Simulating coin flips for probability.mp4	131.0 MB
13 - Conditional probability the most important concept in stats English.srt	35.2 KB
13 - Conditional probability the most important concept in stats.mp4	119.0 MB
14 - Applying conditional probability Bayes rule English.srt	16.1 KB
14 - Applying conditional probability Bayes rule.mp4	45.2 MB
15 - Application of Bayes rule in real world Spam detection English.srt	13.7 KB
15 - Application of Bayes rule in real world Spam detection.mp4	64.4 MB
16 - Spam detection implementation issues English.srt	17.3 KB
16 - Spam detection implementation issues.mp4	130.3 MB
17 - Section Review Tasks.html	4.2 KB
/4 - Counting/
18 - Rules for counting Mostly optional English.srt	25.9 KB
18 - Rules for counting Mostly optional.mp4	98.4 MB
19 - Section Review Tasks.html	1.2 KB
/.../5 - Random Variables Rationale and Applications/
20 - Quantifying events random variables.mp4	46.1 MB
21 - Two random variables joint probabilities English.srt	21.4 KB
21 - Two random variables joint probabilities.mp4	51.3 MB
22 - Distributions rationale and importance English.srt	30.4 KB
22 - Distributions rationale and importance.mp4	121.8 MB
23 - Discrete distributions through code English.srt	8.9 KB
23 - Discrete distributions through code.mp4	25.5 MB
24 - Continuous distributions probability densities English.srt	35.9 KB
24 - Continuous distributions probability densities.mp4	92.1 MB
25 - Continuous distributions code English.srt	9.5 KB
25 - Continuous distributions code.mp4	29.5 MB
26 - Case study sleep analysis structure and code English.srt	32.3 KB
26 - Case study sleep analysis structure and code.mp4	171.4 MB
27 - Section Review Tasks.html	0.9 KB
/.../6 - Visualization in Intuition Building/
28 - Visualizing joint distributions the road to ML success.mp4	91.4 MB
29 - Dependence and variance of two random variables English.srt	19.1 KB
29 - Dependence and variance of two random variables.mp4	64.1 MB
30 - Section Review Tasks.html	0.8 KB
/.../7 - Applications to the Real World/
31 - Expected values decision making through probabilities English.srt	11.7 KB
31 - Expected values decision making through probabilities.mp4	19.6 MB
32 - Entropy The most important application of expected values.mp4	90.7 MB
33 - Applying entropy coding decision trees for machine learning English.srt	48.1 KB
33 - Applying entropy coding decision trees for machine learning.mp4	148.4 MB
34 - Foundations of Bayesian inference English.srt	20.4 KB
34 - Foundations of Bayesian inference.mp4	27.9 MB
35 - Bayesian inference code through PyMC3 English.srt	11.3 KB
35 - Bayesian inference code through PyMC3.mp4	60.7 MB
36 - Section Review Tasks.html	2.2 KB
/8 - Extra Resources/
37 - Bonus Lecture.html	5.0 KB
/~Get Your Files Here !/
Bonus Resources.txt	0.4 KB
Total files 154