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Data Engineering as a subset of Data Science, which receives data from Big Data and prepares them to be used in a Machine Learning Model.
Understand Python API and various ways to read and perform queries in CSV files with SQL script in DuckDB with this comprehensive guide.
Learn how to analyze the text in order to find its sentiment score with Normalization, Semi-Normalization and Vader in Python.
Ensemble learning in python is a meta approach that works on predictive performance by mixing different combinations of the prediction.
Optuna is the SOTA algorithm for fine-tuning ML and deep learning models. It depends on the Bayesian fine-tuning technique.
ETL is a type of three-step data integration: Extraction, Transformation, Load are processing, used to combine data from multiple sources.
Get a thorough understanding of ARIMA and how the Auto ARIMAX model can be used on a stock market dataset to forecast results.
Python String is a one of the most basic and most important data structure. Learn how to create , access and manipulate strings in depth.
Docker system makes Machine Learning Engineers' lives much easier. It helps to easily deploy and manage applications by using containers.
Inferrd makes it easy to deploy machine learning models to the GPU without having to deal with the underlying infrastructure.
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