Python for Data Science and Machine Learning Bootcamp Notes === :::success Notes for [Python for Data Science and Machine Learning Bootcamp](https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/) on Udemy :computer: ::: Questions Faced --- 1. Data cleaning is hard... 2. How to interpret the data? 3. How to decide which tool to use under different scenario? 可以用 [roadmap](https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html) 大致分類? 4. Not clear of the rationale and details behind each algorithm (need further study?) 5. How to know what features to use? Home --- - [Python for Data Science and Machine Learning Bootcamp](/vuBlvd4bTv2BmVeP3UiEDA) Notes --- - [Chap 4 | Python Crash Course](/r9-xn1JsTJO6Nc9rIF8mUw) - [Chap 5 | Python for Data Analysis - NumPy](/F4hxuLjdQUaH9v4xp7SVAQ) - [Chap 6 | Python for Data Analysis - Pandas](/xhNdFKXWT8q1kXQyxVMtFQ) - [Chap 7 | Python for Data Analysis - Pandas Exercise](/MEWh3hF3Ql62uJObdg9n0g) - [Chap 8 | Python for Data Visualization - Matplotlib](/Rl_vJI66QdixRfR2iA3qag) - [Chap 9 | Python for Data Visualization - Seaborn](/WDRkRWigROCCUxc_OJ419g) - [Chap 10 | Python for Data Visualization - Pandas Built-in Data Visualization](/5uDrcc69Txmb8JXQU0iXcw) - [Chap 11 | Python for Data Visualization - Plotly and Cufflinks](/XRnW2ZNFSxCFwoAF_DSUWA) - [Chap 12 | Python for Data Visualization - Geographical Plotting](/3G-v9YL0R7mGhSZCXBoPiQ) - [Chap 13 | Data Capstone Project](/v5SzJxtrRUCR-iitsccLkw) - [Chap 14 | Introduction to Machine Learning](/jfrgYYCESpu8kjh89PaiLA) - [Chap 15 | Linear Regression](/utuI26o7TFuK3cr-BA2tBw) - [Chap 16 | Cross Validation and Bias-Variance Trade-Off](/LEmSlTz7Tq6cP91y-CdqGQ) - [Chap 17 | Logistic Regression](/sGk-c7AhSAOmRg-hAUaQqA) - [Chap 18 | K Nearest Neighbors](/AtRC1xvXQt6I2P-pmsgXRQ) - [Chap 19 | Decision Trees and Random Forests](/Nfie4neARhG_8zH6ucCAEA) - [Chap 20 | Support Vector Machines](/DvrLzdK3Qfqrk6PRgOQeuw) - [Chap 21 | K Means Clustering](/hBocUqw8Q2uMgZgNa7htdg) - [Chap 22 | Principal Component Analysis](/hZpBeedLQdCm9z0q1rnFgA) - [Chap 23 | Recommender Systems](/4kBRyGPASOGDdo92nJbBoA) - [Chap 24 | Natural Language Processing](/Z6jyWG1kTVy0Ew1zuN_oaw) - [Chap 25 | Neural Nets and Deep Learning](/FaX96rgdTxqUyVJU4cpIVA) - [Chap 26 | Big Data and Spark with Python](/PVzwgv-uQ-KVJFTOdoYlbw) ###### tags: `Python for Data Science and Machine Learning Bootcamp`
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