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A Layman’s Guide to Data Science

Python basics

0.資料型態：bool, int, float, str
1.資料型態：list與tuple
2.資料型態：dict與set
3.資料型態：進階主題
4.流程控制
5.function
6.進階主題

Pandas basics

Intro to Pandas
Pandas常用操作
Pandas資料分析

Intro to machine learning

Introduction to machine learning
Gradient Descent
Lasso regression, Ridge regression, Elastic-Net
Hyperparameter Tuning Methods & Cross validation
Logistic Regression & classification metrics
Tree-based models

Intro to causal inference

Introduction to Causal Inference

Environment setup

Shell & IDE 介紹
Python安裝與虛擬環境

Repository
Open issue

.md

Introduction to Causal Inference

Introduction to Causal Inference#

Part 1
- causal inference 101

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Tree-based models

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Shell & IDE 介紹

By Curtis Lu

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