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利用Miniconda設置Python開發環境
數據科學方法<br>Data Science
Introduction
[1.1] 課程敘述
[1.2] 軟體工具
packages
利用Miniconda設置Python開發環境
先修知識測驗
資料科學是什麼
[2.1] 什麼是資料科學
[2.2] Data
[2.3] Pandas (I)
[2.3] Pandas (I).ipynb
Week 2
Review: probability
[3.1] Probability
[3.2] Random variables
Data manipulation by Pandas
[4] Pandas (II)
[4] Pandas (II)
Week 3
Homework #1
[5] Pandas (III)
[5] Pandas (III).ipynb
[5] Pandas (III)
Homework #2
Homework #1詳解
Homework #2 詳解
Data visualization by matplotlib and seaborn
[7] EDA
[7] EDA
[7] EDA
Homework #3
homework #3 詳解
Introduction to machine learning
[8] Intro2ML
[8] Intro2ML
[8] Intro2ML
Homework #4
homework #4 詳解
Gradient descent
[9] Gradient descent
[9] Gradient descent.ipynb
[9] Gradient Descent
Homework #5
homework #5 詳解
Decision theory
[10] Decision theory
[10] Decision theory
Logistic regression
[11] Classification (I)
[11] Classification (I)
Slides from Data 100, Fall 2020 @ UC Berkeley
MLE
MLE
Homework #6
Homework #6 詳解 二分類
Homework #6 詳解(v2) 二分類
Homework #6 詳解 二分類 (ipynb)
Artificial neural networks
[12] ANN
[12] ANN
[12] Intro2TF2 (I)
[12] Intro2TF2 (I)
[12] Intro2TF2 (I)
Homework #7
Homework #7 詳解 二分類(sequential)
Homework #7 詳解(v2) 二分類(sequential)
Homework #7 詳解 二分類(sequential) (ipynb)
Multiclass logistic regression
[13] Classification (II)
[13] Classification (II)
[13] Classification (II)
[13] Intro2TF2 (II)
[13] Intro2TF2 (II)
[13] Intro2TF2 (II)
Homework #8
Homework #8 詳解 多分類(functional)
Homework #8 詳解(v2) 多分類(functional)
Homework #8 詳解 多分類(functional) (ipynb)
Regression
[14] Regression
[14] Regression
[14] Regression
[14] Regression (II)
Homework #9
Homework #9 詳解 迴歸(functional VS sequential)
Homework #9 詳解(v2) 迴歸(functional VS Ridge)
Homework #9 詳解 迴歸(functional VS sequential) (ipynb)
Tips for DNN
[15] DNN Tips
[15] DNN Tips
[15] DNN Tips
重點回顧
[17] Summary
[17] Summary
期末考
期末考交到這
索引
重點
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1. 利用Miniconda設置Python開發環境
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觀看次數 : 493
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先修知識測驗