handson-ml2
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ageron
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Hello, My question refers to chapter 16 (NLP - Sentiment Analysis - TensorFlow Hub) I didn't get why the authors changed the network architeture, using a dense layer after the...
This is a warning I got while running the Binary Classifier (5 Detector) code from Chapter 3 specifically when I was creating the subset of the dataset with only 5's...
Not sure if this is intentional, but there are some districts with very unreasonable household sizes in the housing dataset, going up to 1000+ persons per household: **To Reproduce** ```python...
I am working through this fantastic book, "Hands on ML", and for learning purposes have made modifications to the corresponding source code and uploaded to my github repo. I was...
Hi sir, I have recently started reading your book and I'm in 2nd chapter now. till transformation pipeline I have got good knowledge and have implemented each line of code...
This code doesn't work for me: ```python import os import tarfile import urllib DOWNLOAD_ROOT = "https://raw.githubusercontent.com/ageron/handson-ml2/master/" HOUSING_PATH = os.path.join("datasets", "housing") HOUSING_URL = DOWNLOAD_ROOT + "datasets/housing/housing.tgz" def fetch_housing_data(housing_url=HOUSING_URL, housing_path=HOUSING_PATH): os.makedirs(housing_path, exist_ok=True)...
- AutoML provides tools to automatically discover good machine learning model pipelines for a dataset with very little user intervention. - It is ideal for domain experts new to machine...
I wonder after reading Chapter 7 that in Ada Boost Ensemble Algorithm multiple types of base learning algorithms can be used ex: decision trees, svm, logistic regression, etc. But in...
It appears that the data used to test the trained linear regression model on page 75 of the 2nd edition of "Hands-on..." is using the unprocessed `housing` data frame. If...
