Key Features, Put machine learning principles into practice to solve real-world problemsGet to grips with Python's impressive range of Machine Learning libraries and frameworksFrom retrieving data from APIs to cleaning and visualization, become more confident at tackling every stage of the data pipeline, Book Description, Machine Learning is transforming the way we understand and interact with the world around us. But how much do you really understand it? How confident are you interacting with the tools and models that drive it?, Python Machine Learning Blueprints puts your skills and knowledge to the test, guiding you through the development of some awesome machine learning applications and algorithms with real-world examples that demonstrate how to put concepts into practice., You’ll learn how to use cluster techniques to discover bargain air fares, and apply linear regression to find yourself a cheap apartment – and much more. Everything you learn is backed by a real-world example, whether its data manipulation or statistical modelling., That way you’re never left floundering in theory – you’ll be simply collecting and analyzing data in a way that makes a real impact., What you will learn, Explore and use Python's impressive machine learning ecosystemSuccessfully evaluate and apply the most effective models to problemsLearn the fundamentals of NLP - and put them into practiceVisualize data for maximum impact and clarityDeploy machine learning models using third party APIsGet to grips with feature engineering, About the Author, Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City., Table of Contents, The Python Machine Learning EcosystemBuild an App to Find Underpriced ApartmentsBuild an App to Find Cheap AirfaresForecast the IPO Market using Logistic RegressionCreate a Custom NewsfeedPredict whether Your Content Will Go ViralForecast the Stock Market with Machine LearningBuild an Image Similarity EngineBuild a ChatbotBuild a Recommendation Engine
Traceback (most recent call last): File "C:\Users\X\Desktop\2023夏\Supplement-shop-main\backend\blueprints\address_bp.py", line 3, in <module> from config import db ImportError: cannot import name 'db' from 'config' (D:\pycharm\anaconda3.6\lib\site-packages\config\__init__.py)
Traceback (most recent call last): File "C:\Users\cypo\Desktop\DataAnalysis\venv\lib\site-packages\flask\app.py", line 2551, in __call__ return self.wsgi_app(environ, start_response) File "C:\Users\cypo\Desktop\DataAnalysis\venv\lib\site-packages\flask\app.py", line 2531, in wsgi_app response = self.handle_exception(e) File "C:\Users\cypo\Desktop\DataAnalysis\venv\lib\site-packages\flask\app.py", line 2528, in wsgi_app response = self.full_dispatch_request() File "C:\Users\cypo\Desktop\DataAnalysis\venv\lib\site-packages\flask\app.py", line 1825, in full_dispatch_request rv = self.handle_user_exception(e) File "C:\Users\cypo\Desktop\DataAnalysis\venv\lib\site-packages\flask\app.py", line 1823, in full_dispatch_request rv = self.dispatch_request() File "C:\Users\cypo\Desktop\DataAnalysis\venv\lib\site-packages\flask\app.py", line 1799, in dispatch_request return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) File "C:\Users\cypo\Desktop\flasks\blueprints\activity.py", line 279, in download_file with open(filepath, 'rb') as f: PermissionError: [Errno 13] Permission denied: 'static/activity/PoetryAndTheDistance/file'
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