Learn or ...

never stop learning. interested in data science & computer science

[Learn or ... @w3ak_learner]

[day 5] learning components. we can separate the blocks into smaller one like LEGO.
using props, we can also pass the variables from a parent to children.

[Learn or ... @w3ak_learner]

[day 4] computed properties .. this is like a method or function you can define in my view.

I like the vue mastery's analogy, which I found the video author made a lot of thoughts on making these contents more intuitive. thanks.

[Learn or ... @w3ak_learner]

[day 3] class & style binding. it's cool.

in my view, this binding is injecting the css based on the condition and variables.
https://t.co/TndsXQIZYT

[Learn or ... @w3ak_learner]

[day 2] learning how to bind the method by v-on and event using @ e.g., @ click, @ mouseover

#vuejs

[Learn or ... @w3ak_learner]

[Day 1]
decided to learn vue.js. This vue mastery is so far a great place to start. https://t.co/ZVcz28GDCW

I finished Lesson 1-4. I learned how to bind the data in the element with dom object using the expression {{}}.

#vuejs #vuemastery
#100DaysOfCode

[Learn or ... @w3ak_learner]

wrote about "Introduction to Bayesian Optimization" with the animated visualization. https://t.co/bKxQt6fCSB #BayesianOptimization #MachineLearning #Bayesian #Visualization #python

[Learn or ... @w3ak_learner]

Finally, I reached 100days. Day 100 wrote about "Time Series Forecasting for Daily Births Dataset by Prophet" https://t.co/igbtntcQtV #timeseries #prophet #python #100DaysOfCode

[Learn or ... @w3ak_learner]

Day 99 wrote about "Prophet 101: a time-series forecasting module" https://t.co/txqGyj2M6A #timeseries #prophet #python #100DaysOfCode

[Learn or ... @w3ak_learner]

Day 98 wrote about "Gradient descent implementation from scratch" https://t.co/iEWidRqTG9 #numpy #gradientdescent #python #100DaysOfCode

[Learn or ... @w3ak_learner]

Day 97: wrote about "Saving Machine Learning Models by joblib" https://t.co/6DrPIqgbvO #sklearn #joblib #modelpersistence #python #100DaysOfCode

[Learn or ... @w3ak_learner]

Day 95/96: wrote about "Explain the interaction values by SHAP" https://t.co/uuQHGsactq #shap #NHANESI #SurvivalAnalysis #Interpretability #python #100DaysOfCode

[Learn or ... @w3ak_learner]

Day 94: wrote about "Explain the prediction for ImageNet using SHAP" https://t.co/Cqdiq8QwmE #shap #VGG16 #DeepLearning #ImageNet #Interpretability #python #100DaysOfCode

[Learn or ... @w3ak_learner]

Day 93: wrote about "Sentiment Analysis by SHAP with Logistic Regression" https://t.co/jFy1FBycZc #shap #TFID #IMDB #movie #python #100DaysOfCode

[Learn or ... @w3ak_learner]

Day 92: wrote about "Explain Iris classification by SHAP" https://t.co/c7boCGDtUc #shap #python #100DaysOfCode

[Learn or ... @w3ak_learner]

Day 90/91: wrote about "Explain Image Classification by SHAP Deep Explainer" https://t.co/Fz24fQDTl5 #pytorch #shap #python #100DaysOfCode #jupyter #deepexplainer #deeplearning

[Learn or ... @w3ak_learner]

Day 89: wrote about "Time the performance by timeit and cell magic" (link: https://t.co/aypufrDWJM) #python #performance #100DaysOfCode #timeit #cellmagic #jupyter

[Learn or ... @w3ak_learner]

Day 88: wrote about "Performance difference between append and insert in Python" https://t.co/QYbBeDc6bp #python #algorithms #100DaysOfCode

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Day 87: wrote about "Draw Perceptron graph by graphviz" (link: https://t.co/wIv6jlvwNE) #python #neuralnetwork #graphviz #100DaysOfCode

[Learn or ... @w3ak_learner]

Day 86: wrote about "Implement Perceptron" https://t.co/CrEnNHibmP #python #neuralnetwork #100DaysOfCode

[Learn or ... @w3ak_learner]

Day 85: fixed the figures which were not shown in the blog posts "Parallel Plot for Categorical and Continuous variable by Plotly Express" and "Visualization Samples by Plotly Express" by using #plotlyio renderer #PlotlyExpress #python #visualization #100DaysOfCode