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In this PySpark Project, you will learn to implement regression machine learning models in SparkMLlib.
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In this Big Data Project, you will learn to implement PySpark Partitioning Best Practices.
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In this Flask Project, you will use Flask APIs, Databricks, and Unity Catalog to build a secure data processing platform focusing on climate data. You will also explore advanced features like Docker containerization, data encryption, and detailed data lineage tracking.
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Time Series Analysis Project - Use the Facebook Prophet and Cesium Open Source Library for Time Series Forecasting in Python
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Perform model deployment on GCP for resume parsing model using Streamlit App.
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In this Machine Learning Regression project, you will learn to build a polynomial regression model to predict points scored by the sports team.
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A Beginner’s Guide to Building a Data Science Pipeline
From data collection to visualization, learn step-by-step how to build a data science pipeline to tackle real-world challenges head-on. | ProjectPro
30+ NumPy Interview Questions and Answers for Data Analysts
Prepare for success in data analyst interviews with our curated list of 30+ NumPy Interview Questions and Answers. | ProjectPro
Adam Optimizer Simplified for Beginners in ML
Unlock the power of Adam Optimizer: from theory, tutorials, to navigating limitations.
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