cloud computing, and data visualizations. You'll gain hands-on experience in data importation, data cleaning, and optimizing your code for efficiency. You'll also learn the key concepts necessary for data engineering such as joining data in SQL, writing tests to validate your code, and using ...
The full data workflow often involves many stages, from importing and processing the data to make it suitable for analysis, followed by some number crunching, and then presenting your insights. In this session, you'll see a full data workflow using some LIGO gravitational wave data (no physics...
PySpark Tutorial for Beginners - Practical Examples in Jupyter Notebook with Spark version 3.4.1. The tutorial covers various topics like Spark Introduction, Spark Installation, Spark RDD Transformations and Actions, Spark DataFrame, Spark SQL, and more. It is completely free on YouTube and is beg...
4. ZuzooVn/machine-learning-for-software-engineers 之前提过的那个大博士的教程,非常的喜欢如果书和公式给你带来的是科学上的理解,这个大博士的教程则给你通俗上的解释了各种不同的机器学习模式,而且他的教程是一步一步教你打代码的,非常适合新手。 5. Applied Machine Learning in Python | Coursera 也是Cours...
Additionally, he serves as a freelance mentor and is the proud owner of the YouTube Channel 'DataScienceOne,' dedicated to showcasing data science projects for aspiring enthusiasts and career-switchers. Taesun's vision is to influence and educate as many individuals as possible, guiding them to...
iterative-stratification - Stratification of multilabel data. Feature Engineering Vincent Warmerdam: Untitled12.ipynb - Using df.pipe() Vincent Warmerdam: Winning with Simple, even Linear, Models sklearn - Pipeline, examples. pdpipe - Pipelines for DataFrames. scikit-lego - Custom transformers for ...
anthem on various online platforms such as YouTube or music streaming services by searching for "...
Libraries for caching data.beaker - A WSGI middleware for sessions and caching. django-cache-machine - Automatic caching and invalidation for Django models. django-cacheops - A slick ORM cache with automatic granular event-driven invalidation. dogpile.cache - dogpile.cache is next generation ...
Prefect is a workflow orchestration framework for building resilient data pipelines in Python. - PrefectHQ/prefect
def load_imdb_data(directory = 'train', datafile = None): ''' Parse IMDB review data sets from Dataset from http://ai.stanford.edu/~amaas/data/sentiment/ and save to csv. ''' labels = {'pos': 1, 'neg': 0} df = pd.DataFrame() for sentiment in ('pos', 'neg'): path =r...