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@w3ak_learner
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never stop learning. interested in data science & computer science
Joined April 2018
[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.
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[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.
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[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
vuemastery.com
In this lesson we’ll be learning how to dynamically style our HTML by binding data to an element’s style attribute, as well as its class.
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[day 2] learning how to bind the method by v-on and event using @ e.g., @ click, @ mouseover #vuejs
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[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
vuemastery.com
Vue Mastery is the ultimate learning resource for Vue.js developers. We release weekly video tutorials and articles as well as the proud producers of the official Vue.js News. You can consume it in...
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wrote about "Introduction to Bayesian Optimization" with the animated visualization. https://t.co/bKxQt6fCSB
#BayesianOptimization #MachineLearning #Bayesian #Visualization #python
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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
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Day 99 wrote about "Prophet 101: a time-series forecasting module" https://t.co/txqGyj2M6A
#timeseries #prophet #python #100DaysOfCode
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Day 98 wrote about "Gradient descent implementation from scratch" https://t.co/iEWidRqTG9
#numpy #gradientdescent #python #100DaysOfCode
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Day 97: wrote about "Saving Machine Learning Models by joblib" https://t.co/6DrPIqgbvO
#sklearn #joblib #modelpersistence #python #100DaysOfCode
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Day 95/96: wrote about "Explain the interaction values by SHAP" https://t.co/uuQHGsactq
#shap #NHANESI #SurvivalAnalysis #Interpretability #python #100DaysOfCode
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Day 94: wrote about "Explain the prediction for ImageNet using SHAP" https://t.co/Cqdiq8QwmE
#shap #VGG16 #DeepLearning #ImageNet #Interpretability #python #100DaysOfCode
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Day 93: wrote about "Sentiment Analysis by SHAP with Logistic Regression" https://t.co/jFy1FBycZc
#shap #TFID #IMDB #movie #python #100DaysOfCode
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Day 92: wrote about "Explain Iris classification by SHAP" https://t.co/c7boCGDtUc
#shap #python #100DaysOfCode
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Day 90/91: wrote about "Explain Image Classification by SHAP Deep Explainer" https://t.co/Fz24fQDTl5
#pytorch #shap #python #100DaysOfCode #jupyter #deepexplainer #deeplearning
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Day 89: wrote about "Time the performance by timeit and cell magic" (link: https://t.co/aypufrDWJM)
#python #performance #100DaysOfCode #timeit #cellmagic #jupyter
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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
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Day 86: wrote about "Implement Perceptron" https://t.co/CrEnNHibmP
#python #neuralnetwork #100DaysOfCode
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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
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