part 2 of top10 python libraries for data science
TensorFlow is a computational framework for building machine learning models.
Used for: – Speech and image recognition – Text-based applications – Time-series analysis – Video detection
XGBoost (Extreme Gradient Boosting) is a scalable, distributed gradient-boosted decision tree
It’s noteworthy for data scientists that XGBoost ml models have the premier combination of prediction performance and processing time compared with other algorithms
features: – High-level commands for data manipulation and visualization – Multidimensional image processing with the SciPy ndimage submodule
Applications: – Multidimensional image operations – Solving differential equations and the Fourier transform – Optimization algorithms
scientific computing package that uses the power of graphics processing units.
– tensor computations with strong GPU acceleration support – building deep neural networks on a tape-based autograd system
"SOUP" refers to syntactically or structurally incorrect HTML written for a web page.
Users can collect data that’s available on some website without a proper CSV or API, and BeautifulSoup can help them scrape it