文件名称：实际上是ML：此存储库包含“实际ML”研讨会的第1部分的内容
文件大小：3.59MB
文件格式：ZIP
更新时间：2024-02-25 01:47:43
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实际上是ML：此存储库包含“实际ML”研讨会的第1部分的内容
【文件预览】：
PracticallyML-master
----.DS_Store(10KB)
----img()
--------math.png(127KB)
--------.DS_Store(6KB)
--------kmeans clustering.png(255KB)
--------ml_pipeline.png(54KB)
--------flowchart.png(39KB)
--------lr_4.jpg(36KB)
--------collage.jpg(2.27MB)
--------here.jpg(16KB)
--------meme1.png(68KB)
--------01_spam_filter.png(58KB)
--------lr_1.jpg(30KB)
--------lr_3.jpg(42KB)
--------lr_2.jpg(36KB)
--------reinforcement.jpeg(17KB)
--------01_clustering.png(40KB)
--------end_image.jpeg(55KB)
----Session 2()
--------Session 2 Part 1.3 Practically Linear Regression.ipynb(102KB)
--------Session 2 Part 1.2 Linear Regression from Scratch.ipynb(201KB)
--------Session 2 Part 1.1 Linear Regression-Theory.ipynb(6KB)
----requirements.txt(942B)
----README.md(878B)
----Session 1()
--------Session 1 Part 1.1 Python for Data Science-Copy1.ipynb(12KB)
--------Session 1 Part 2 Machine Learning Basics.ipynb(6KB)
--------Session 1 Part 1.2 Introduction to Numpy .ipynb(15KB)
--------Session 1 Part 1.3 Intro to Pandas.ipynb(20KB)
--------Session 1 Part 1.4 Intro to Matplotlib.ipynb(10KB)
--------Session 1 Part 1.1 Python for Data Science.ipynb(9KB)
----Session 3()
--------Session 3 Part 1.2 - Logistic Regression Sklearn + Theory.ipynb(15KB)
--------Session 3 Part 1.1 - Logistic Regression Intuition.ipynb(46KB)
----data()
--------.DS_Store(6KB)
--------cars.csv(9KB)
--------glass.data(12KB)
--------references.md(349B)
--------Advertising.csv(4KB)
----Session 4()
--------Session 4 Part 1.2 K-means clustering sklearn-solutions.ipynb(46KB)
--------Session 4 Part 1.2 K-means clustering sklearn.ipynb(47KB)
--------Session 4 Part 1.1 K-Means Clustering from scratch.ipynb(411KB)
----.gitignore(1KB)