Merge branch 'master' of https://github.com/khuyentran1401/Data_scien…

…ce_on_Medium

README.md

@@ -51,7 +51,7 @@ If you prefer shorter versions of these blogs, subscribe to [Data Science Simpli
 # Machine Learning
 | Title        | Medium article           | Repository  |
 | ------------- |:-------------:| :-----:|
-|How to Efficiently Fine-Tune your Machine Learning Models | [link](https://towardsdatascience.com/how-to-fine-tune-your-machine-learning-models-with-ease-8ca62d1217b1) | [link](https://github.com/khuyentran1401/Machine-learning-pipeline) |
+|How to Efficiently Fine-Tune your Machine Learning Models | <a href="https://towardsdatascience.com/how-to-fine-tune-your-machine-learning-models-with-ease-8ca62d1217b1" target="_blank">link</a>| [link](https://github.com/khuyentran1401/Machine-learning-pipeline) |
 | How to Learn Non-linear Dataset with Support Vector Machines | [link](https://towardsdatascience.com/how-to-learn-non-linear-separable-dataset-with-support-vector-machines-a7da21c6d987) | [link](./machine-learning/SVM_Separate_XOR.ipynb) |
 | Introduction to IBM Federated Learning: A Collaborative Approach to Train ML Models on Private Data | [link](https://towardsdatascience.com/introduction-to-ibm-federated-learning-a-collaborative-approach-to-train-ml-models-on-private-data-2b4221c3839) | [link](https://github.com/IBM/federated-learning-lib)
 | 3 Steps to Improve your Efficiency when Hypertuning ML Models | [link](https://towardsdatascience.com/3-steps-to-improve-your-efficiency-when-hypertuning-ml-models-5a579d57065e) 
@@ -132,6 +132,7 @@ If you prefer shorter versions of these blogs, subscribe to [Data Science Simpli
 | Prettify your Terminal Text With Termcolor and Pyfiglet| [link](https://towardsdatascience.com/prettify-your-terminal-text-with-termcolor-and-pyfiglet-880de83fda6b) | [link](https://github.com/khuyentran1401/Data-science/tree/master/python/prettify_terminal_output) |
 | Stop Using Print to Debug in Python. Use Icecream Instead | [link](https://towardsdatascience.com/stop-using-print-to-debug-in-python-use-icecream-instead-79e17b963fcc) 
 | Rich: Generate Rich and Beautiful Text in the Terminal with Python | [link](https://towardsdatascience.com/rich-generate-rich-and-beautiful-text-in-the-terminal-with-python-541f39abf32e#82f6-71c3ea605859-reply) | [link](https://github.com/khuyentran1401/Data-science/tree/master/terminal/rich)
+| Create a Beautiful Dashboard in your Terminal with Wtfutil | [link](https://towardsdatascience.com/create-a-beautiful-dashboard-in-your-terminal-with-wtfutil-573424fe3684#a02c-a765cf58b4fd-reply) | [link](https://github.com/khuyentran1401/Data-science/blob/master/terminal/wtf/config.yml)
 # Linear Algebra
 | Title        | Medium article           | Repository  |
 | ------------- |:-------------:| :-----:|

terminal/wtf/config.yml

@@ -0,0 +1,128 @@
+wtf:
+  colors:
+    border:
+      focusable: darkslateblue
+      focused: orange
+      normal: gray
+  grid:
+    columns: [32, 32, 32, 32, 90]
+    rows: [10, 10, 10, 4, 4, 90]
+  refreshInterval: 1
+  mods:
+    nvidia-smi:
+      args: []
+      cmd: "nvidia-smi"
+      enabled: true
+      type: "cmdrunner"
+      position:
+        top: 0
+        left: 1
+        height: 1
+        width: 2
+      refreshInterval: 100
+    feedreader:
+      enabled: true
+      feeds:
+      - https://medium.com/feed/@khuyentran1476
+      - https://medium.com/feed/topic/data-science
+      - http://feeds.feedburner.com/DataScienceSimplified
+      feedLimit: 10
+      position:
+        top: 1
+        left: 1
+        width: 2
+        height: 1
+      updateInterval: 14400
+    todo:
+      checkedIcon: "X"
+      colors:
+        checked: gray
+        highlight:
+          fore: "black"
+          back: "orange"
+      enabled: true
+      filename: "todo.yml"
+      position:
+        top: 2
+        left: 1
+        height: 1
+        width: 1
+      refreshInterval: 3600
+    power:
+      enabled: true
+      position:
+        top: 2
+        left: 2
+        height: 1
+        width: 1
+      refreshInterval: 15
+      title: "⚡️"
+    gcal:
+      colors:
+        title: "red"
+        eventTime: "lightblue"
+        description: "yellow"
+        highlights:
+        - ['1on1|1\/11', 'green']
+        - ['apple|google|aws', 'blue']
+        - ['interview|meet', 'magenta']
+        - ['lunch', 'yellow']
+        past: "gray"
+      calendarReadLevel: "reader"
+      conflictIcon: "🚨"
+      currentIcon: "💥"
+      displayResponseStatus: true
+      email: "khuyentran1476@gmail.com"
+      enabled: true
+      eventCount: 15
+      hourFormat: "12"
+      multiCalendar: true
+      position:
+        top: 0
+        left: 0
+        height: 5
+        width: 1
+      refreshInterval: 300
+      secretFile: "~/.config/wtf/credentials.json"
+      showDeclined: true
+      showEndTime: false
+      timezone: "America/Chicago"
+      withLocation: true
+    git:
+      commitCount: 5
+      commitFormat: "[forestgreen]%h [grey]%cd [white]%s [grey]%an[white]"
+      dateFormat: "%H:%M %d %b %y"
+      enabled: true
+      position:
+        top: 3
+        left: 1
+        height: 2
+        width: 2
+      refreshInterval: 8
+      repositories:
+      - "/home/user/Data-science"
+    docker:
+      type: docker
+      enabled: true
+      labelColor: lightblue
+      position:
+        top: 5
+        left: 0
+        height: 2
+        width: 2
+      refreshInterval: 1
+    resourceusage:
+      cpuCombined: false
+      enabled: true
+      position:
+        top: 5
+        left: 2
+        height: 2
+        width: 1
+      refreshInterval: 1
+      showCPU: true
+      showMem: true
+      showSwp: true
+
+
+