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| _.DS_Store |
120B |
| _.ipynb_checkpoints |
178B |
| _.ipynb_checkpoints |
178B |
| _00-basic-python-crash-course.ipynb |
178B |
| _00-basic-python-crash-course-checkpoint.ipynb |
178B |
| _00-nhanes_data_basics.ipynb |
178B |
| _00-nhanes_data_basics-checkpoint.ipynb |
178B |
| _01-data-types.ipynb |
178B |
| _01-data-types-checkpoint.ipynb |
178B |
| _01-intro-to-data.pdf |
291B |
| _02-averages.pdf |
291B |
| _02-studying-variables.ipynb |
178B |
| _02-studying-variables-checkpoint.ipynb |
178B |
| _03-dispersion.ipynb |
178B |
| _03-dispersion-checkpoint.ipynb |
178B |
| _03-variance.pdf |
291B |
| _04-coin-flips.ipynb |
177B |
| _04-coin-flips-checkpoint.ipynb |
177B |
| _05-probability.pdf |
178B |
| _05-spam-detection.ipynb |
178B |
| _05-spam-detection-checkpoint.ipynb |
178B |
| _06-counting.pdf |
178B |
| _06-distributions.ipynb |
178B |
| _06-distributions-checkpoint.ipynb |
177B |
| _06-joints-and-marginals.ipynb |
177B |
| _06-joints-and-marginals-checkpoint.ipynb |
177B |
| _06-prob-rules.pdf |
291B |
| _07-bayes-rule.pdf |
291B |
| _07-decision-tree.ipynb |
178B |
| _07-decision-tree-checkpoint.ipynb |
178B |
| _08-bayesian-inference.ipynb |
178B |
| _08-bayesian-inference-checkpoint.ipynb |
178B |
| _08-random-variables.pdf |
178B |
| _09-distributions.pdf |
178B |
| _10-continuous-distributions.pdf |
178B |
| _11-expected-values.pdf |
178B |
| _12-entropy.pdf |
178B |
| _13-mcmc.pdf |
178B |
| _14-kl-divergence.pdf |
178B |
| _data |
178B |
| _nhanes_2015_2016.csv |
178B |
| _nhanes_2015_2016-checkpoint.csv |
178B |
| _pdfs |
178B |
| _prob-cs |
178B |
| _sleep_data.csv |
178B |
| _sleep_data-checkpoint.csv |
178B |
| _Untitled-checkpoint.ipynb |
178B |
| _zoo.data |
178B |
| _zoo.names |
178B |
| _zoo-checkpoint.data |
178B |
| 00-basic-python-crash-course.ipynb |
46.37KB |
| 00-basic-python-crash-course-checkpoint.ipynb |
46.37KB |
| 00-nhanes_data_basics.ipynb |
115.17KB |
| 00-nhanes_data_basics-checkpoint.ipynb |
115.17KB |
| 01-data-types.ipynb |
8.98KB |
| 01-data-types-checkpoint.ipynb |
2.85KB |
| 01-intro-to-data.pdf |
2.53MB |
| 02-averages.pdf |
1.02MB |
| 02-studying-variables.ipynb |
296.51KB |
| 02-studying-variables-checkpoint.ipynb |
296.51KB |
| 03-dispersion.ipynb |
87.02KB |
| 03-dispersion-checkpoint.ipynb |
7.12KB |
| 03-variance.pdf |
1001.26KB |
| 04-coin-flips.ipynb |
148.36KB |
| 04-coin-flips-checkpoint.ipynb |
9.10KB |
| 05-probability.pdf |
4.68MB |
| 05-spam-detection.ipynb |
15.91KB |
| 05-spam-detection-checkpoint.ipynb |
14.20KB |
| 06-counting.pdf |
5.52MB |
| 06-distributions.ipynb |
295.56KB |
| 06-distributions-checkpoint.ipynb |
51.13KB |
| 06-joints-and-marginals.ipynb |
258.57KB |
| 06-joints-and-marginals-checkpoint.ipynb |
7.17KB |
| 06-prob-rules.pdf |
6.74MB |
| 07-bayes-rule.pdf |
6.16MB |
| 07-decision-tree.ipynb |
30.04KB |
| 07-decision-tree-checkpoint.ipynb |
30.04KB |
| 08-bayesian-inference.ipynb |
2.71KB |
| 08-bayesian-inference-checkpoint.ipynb |
2.71KB |
| 08-random-variables.pdf |
5.85MB |
| 09-distributions.pdf |
3.44MB |
| 10-continuous-distributions.pdf |
5.68MB |
| 10 - Section Review Tasks.html |
548B |
| 11-expected-values.pdf |
1.63MB |
| 11 - Intro to uncertainty probability intuition.mp4 |
57.49MB |
| 12-entropy.pdf |
4.98MB |
| 12 - Simulating coin flips for probability.mp4 |
124.93MB |
| 13 - Conditional probability the most important concept in stats.mp4 |
113.45MB |
| 13 - Conditional probability the most important concept in stats English.srt |
34.37KB |
| 13-mcmc.pdf |
3.13MB |
| 14 - Applying conditional probability Bayes rule.mp4 |
43.13MB |
| 14 - Applying conditional probability Bayes rule English.srt |
15.68KB |
| 14-kl-divergence.pdf |
2.67MB |
| 15 - Application of Bayes rule in real world Spam detection.mp4 |
61.43MB |
| 15 - Application of Bayes rule in real world Spam detection English.srt |
13.40KB |
| 16 - Spam detection implementation issues.mp4 |
124.29MB |
| 16 - Spam detection implementation issues English.srt |
16.87KB |
| 17 - Section Review Tasks.html |
4.15KB |
| 18 - Rules for counting Mostly optional.mp4 |
93.89MB |
| 18 - Rules for counting Mostly optional English.srt |
25.33KB |
| 19 - Section Review Tasks.html |
1.14KB |
| 1 - Code env setup and Python crash course.mp4 |
164.63MB |
| 20 - Quantifying events random variables.mp4 |
44.00MB |
| 21 - Two random variables joint probabilities.mp4 |
48.93MB |
| 21 - Two random variables joint probabilities English.srt |
20.89KB |
| 22 - Distributions rationale and importance.mp4 |
116.16MB |
| 22 - Distributions rationale and importance English.srt |
29.73KB |
| 23 - Discrete distributions through code.mp4 |
24.33MB |
| 23 - Discrete distributions through code English.srt |
8.73KB |
| 24 - Continuous distributions probability densities.mp4 |
87.88MB |
| 24 - Continuous distributions probability densities English.srt |
35.06KB |
| 25 - Continuous distributions code.mp4 |
28.12MB |
| 25 - Continuous distributions code English.srt |
9.23KB |
| 26 - Case study sleep analysis structure and code.mp4 |
163.49MB |
| 26 - Case study sleep analysis structure and code English.srt |
31.55KB |
| 27 - Section Review Tasks.html |
896B |
| 28 - Visualizing joint distributions the road to ML success.mp4 |
87.16MB |
| 29 - Dependence and variance of two random variables.mp4 |
61.17MB |
| 29 - Dependence and variance of two random variables English.srt |
18.64KB |
| 2 - Getting started with code Feel of data.mp4 |
84.42MB |
| 30 - Section Review Tasks.html |
830B |
| 31 - Expected values decision making through probabilities.mp4 |
18.66MB |
| 31 - Expected values decision making through probabilities English.srt |
11.39KB |
| 32 - Entropy The most important application of expected values.mp4 |
86.46MB |
| 33 - Applying entropy coding decision trees for machine learning.mp4 |
141.54MB |
| 33 - Applying entropy coding decision trees for machine learning English.srt |
46.98KB |
| 34 - Foundations of Bayesian inference.mp4 |
26.65MB |
| 34 - Foundations of Bayesian inference English.srt |
19.93KB |
| 35 - Bayesian inference code through PyMC3.mp4 |
57.92MB |
| 35 - Bayesian inference code through PyMC3 English.srt |
11.05KB |
| 36 - Section Review Tasks.html |
2.11KB |
| 37 - Bonus Lecture.html |
4.85KB |
| 3 - Foundations data types and representing data.mp4 |
145.08MB |
| 3 - Foundations data types and representing data English.srt |
34.90KB |
| 4 - Practical note onehot vector encoding.mp4 |
29.17MB |
| 4 - Practical note onehot vector encoding English.srt |
7.98KB |
| 5 - Exploring data types in code.mp4 |
139.92MB |
| 5 - Exploring data types in code English.srt |
21.52KB |
| 6 - Central tendency mean median mode.mp4 |
118.55MB |
| 7 - Section Review Tasks.html |
2.16KB |
| 8 - Dispersion and spread in data variance standard deviation.mp4 |
42.98MB |
| 9 - Dispersion exploration through code.mp4 |
65.89MB |
| 9 - Dispersion exploration through code English.srt |
16.83KB |
| Bonus Resources.txt |
386B |
| DS_Store |
6.00KB |
| Get Bonus Downloads Here.url |
182B |
| nhanes_2015_2016.csv |
744.50KB |
| nhanes_2015_2016-checkpoint.csv |
744.50KB |
| sleep_data.csv |
280.63KB |
| sleep_data-checkpoint.csv |
280.63KB |
| Untitled-checkpoint.ipynb |
72B |
| zoo.data |
4.03KB |
| zoo.names |
2.53KB |
| zoo-checkpoint.data |
4.03KB |