jupyterbook intro and topic1 done (Yorko#685)

add course program, intro, finalize topic 1

.github/workflows/pre-commit.yml

@@ -17,5 +17,3 @@ jobs:
 
       - name: run pre-commit action
         uses: pre-commit/[email protected]
-        with:
-          extra_args: --all-files

.gitignore

@@ -115,6 +115,9 @@ data/athlete_events.csv
 # other stuff
 .DS_Store
 .idea/
+.pickle
+.dot
+.html
 jupyter_english/assignments_demo/_build/
 jupyter_english/assignments_demo/_config.yml
 jupyter_english/assignments_demo/_toc.yml

.pre-commit-config.yaml

@@ -15,3 +15,5 @@ repos:
     rev: v8.0.0
     hooks:
       - id: yaspeller
+        types: [markdown]
+        files: \.md$

.yaspellerrc.json

@@ -6,7 +6,7 @@
     ],
     "excludeFiles": [
       "mlcourse_ai_jupyter_book/_toc.yml",
-      "mlcourse_ai_jupyter_book/_config.yml", 
+      "mlcourse_ai_jupyter_book/_config.yml",
       ".git",
       ".gitignore",
       "node_modules",
@@ -17,6 +17,7 @@
     "ignoreCapitalization": true,
     "checkYo": false,
     "ignoreText": [
+      "bonus[0-9]*",
       "assignment[0-9]*",
       "topic[0-9]*",
       "\\d{1,3}th",
@@ -33,11 +34,13 @@
       "Kashnitsky",
       "Knyazeva",
       "Manokhina",
+      "ODS", "ods",
+      "OpenDataScience",
       "Pao",
       "Plako",
       "Trunov",
       "Yuanyuan",
-      "Yury",
+      "Yury.*",
       "ai",
       "cheatsheet",
       "dask",
@@ -46,6 +49,7 @@
       "dataset.*",
       "GitHub",
       "groupby",
+      "inclass",
       "Jupyter",
       "jupytext",
       "Kaggle",
@@ -56,12 +60,16 @@
       "myst",
       "numpy",
       "pandas",
+      "Patreon",
       "persay",
+      "Ph. D.", "Ph.D.*",
       "python.*",
       "quartile.*",
       "repo.*",
       "vs",
       "scikit.*",
-      "SVD"
+      "SVD",
+      "videolecture.*",
+      "yorko"
     ]
   }

README.md

@@ -8,7 +8,7 @@
 [![Slack](https://img.shields.io/badge/slack-ods.ai-orange)](https://opendatascience.slack.com/archives/C91N8TL83/p1567408586359500)
 [![Donate](https://img.shields.io/badge/support-patreon-red)](https://www.patreon.com/ods_mlcourse)
 [![Donate](https://img.shields.io/badge/support-ko--fi-red)](https://ko-fi.com/mlcourse_ai)
-    
+
 </div>
 
 [mlcourse.ai](https://mlcourse.ai) is an open Machine Learning course by [OpenDataScience (ods.ai)](https://ods.ai/), led by [Yury Kashnitsky (yorko)](https://yorko.github.io/). Having both a Ph.D. degree in applied math and a Kaggle Competitions Master tier, Yury aimed at designing an ML course with a perfect balance between theory and practice. Thus, you go through math formulae in lectures, and practice with Kaggle Inclass competitions. Currently, the course is in a **self-paced mode**. Check out a thorough [Roadmap](roadmap) guiding you through the self-paced mlcourse.ai.

data/accidental-deaths-in-usa-monthly.csv

@@ -70,4 +70,4 @@
 "1978-09",9110
 "1978-10",9070
 "1978-11",8633
-"1978-12",9240
+"1978-12",9240

data/ads.csv

@@ -1 +1 @@
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data/adult.data.csv

@@ -32560,4 +32560,3 @@ age,workclass,fnlwgt,education,education-num,marital-status,occupation,relations
 58,Private,151910,HS-grad,9,Widowed,Adm-clerical,Unmarried,White,Female,0,0,40,United-States,<=50K
 22,Private,201490,HS-grad,9,Never-married,Adm-clerical,Own-child,White,Male,0,0,20,United-States,<=50K
 52,Self-emp-inc,287927,HS-grad,9,Married-civ-spouse,Exec-managerial,Wife,White,Female,15024,0,40,United-States,>50K
-

data/breast_cancer.csv

@@ -567,4 +567,4 @@
 926682,M,20.13,28.25,131.2,1261,0.0978,0.1034,0.144,0.09791,0.1752,0.05533,0.7655,2.463,5.203,99.04,0.005769,0.02423,0.0395,0.01678,0.01898,0.002498,23.69,38.25,155,1731,0.1166,0.1922,0.3215,0.1628,0.2572,0.06637
 926954,M,16.6,28.08,108.3,858.1,0.08455,0.1023,0.09251,0.05302,0.159,0.05648,0.4564,1.075,3.425,48.55,0.005903,0.03731,0.0473,0.01557,0.01318,0.003892,18.98,34.12,126.7,1124,0.1139,0.3094,0.3403,0.1418,0.2218,0.0782
 927241,M,20.6,29.33,140.1,1265,0.1178,0.277,0.3514,0.152,0.2397,0.07016,0.726,1.595,5.772,86.22,0.006522,0.06158,0.07117,0.01664,0.02324,0.006185,25.74,39.42,184.6,1821,0.165,0.8681,0.9387,0.265,0.4087,0.124
-92751,B,7.76,24.54,47.92,181,0.05263,0.04362,0,0,0.1587,0.05884,0.3857,1.428,2.548,19.15,0.007189,0.00466,0,0,0.02676,0.002783,9.456,30.37,59.16,268.6,0.08996,0.06444,0,0,0.2871,0.07039
+92751,B,7.76,24.54,47.92,181,0.05263,0.04362,0,0,0.1587,0.05884,0.3857,1.428,2.548,19.15,0.007189,0.00466,0,0,0.02676,0.002783,9.456,30.37,59.16,268.6,0.08996,0.06444,0,0,0.2871,0.07039

data/chronic_kidney_disease.csv

@@ -398,4 +398,4 @@ age,bp,sg,al,su,rbc,pc,pcc,ba,bgr,bu,sc,sod,pot,hemo,pcv,wc,rc,htn,dm,cad,appet,
 42,70,1.025,0,0,normal,normal,notpresent,notpresent,75,31,1.2,141,3.5,16.5,54,7800,6.2,no,no,no,good,no,no,notckd
 12,80,1.020,0,0,normal,normal,notpresent,notpresent,100,26,0.6,137,4.4,15.8,49,6600,5.4,no,no,no,good,no,no,notckd
 17,60,1.025,0,0,normal,normal,notpresent,notpresent,114,50,1.0,135,4.9,14.2,51,7200,5.9,no,no,no,good,no,no,notckd
-58,80,1.025,0,0,normal,normal,notpresent,notpresent,131,18,1.1,141,3.5,15.8,53,6800,6.1,no,no,no,good,no,no,notckd
+58,80,1.025,0,0,normal,normal,notpresent,notpresent,131,18,1.1,141,3.5,15.8,53,6800,6.1,no,no,no,good,no,no,notckd