ProjectPro - Solved Big Data and Data Science Projects
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ProjectPro Login - Get Access to Solved End-to-End Projects
Login to ProjectPro - Get Access to Solved Real-World Big Data and Data Science Projects with Guided Videos, Code, Documentation,and Expert Guidance.
Free Online Tutorials, Classes, Trainings, Videos | ProjectPro
Free Online Tutorials for Big Data, Apache Hadoop, Data Science in Python, Data Science in R, Apache Spark, Apache Storm, Node.JS, Angular.JS, IOS, Android, Python Programming.
Loan Default Prediction Project using Explainable AI ML Models
This project aims to predict loan defaults using machine learning models (XGBoost and Random Forest) and then enhance model interpretability using Explainable AI techniques. The project seeks to clearly understand why the models make certain predictions.
Data Science and Big Data Learning Paths by ProjectPro
Start your journey towards expertise in data science and big data technologies with ProjectPro's comprehensive and structured learning paths.
Snowflake Azure Project to build real-time Twitter feed dashboard
Solved End-to-End Snowflake Azure Real Time Project for Beginners to Practice and Build a Real-Time Twitter feed dashboard.
Data Science in Finance - Projects, and Use Cases | ProjectPro
Data Science in Finance - Solved End-to-End Data Science Projects in Finance with Reusable Solution Code, Guided Videos, and One-to-One Expert Sessions.
Machine Learning in Retail Projects, and Use Cases | ProjectPro
Book A Demo. Projects on Machine Learning in Retail and eCommerce - Solved End-to-End Machine Learning Projects in Retail with Reusable Solution Code | ProjectPro.
PySpark Project to Learn Advanced DataFrame Concepts
The first project laid a strong foundation by delving into Spark's architecture, components, and applications, focusing on RDDs as a crucial data structure, DataFrames for efficient data manipulation, and the power of Spark SQL for relational data processing.
How to Build an End-to-End Machine Learning Project?
2024年10月28日 · Our guide covers everything from data gathering and preprocessing to model deployment, helping you build a complete end-to-end machine learning project.