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Learn to perform 1) Twitter Sentiment Analysis using Spark Streaming, NiFi and Kafka, and 2) Build an Interactive Data Visualization for the analysis using Python Plotly.
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In this Big Data Project, you will learn to implement PySpark Partitioning Best Practices.
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In this Python and MongoDB Project for Beginners, you will learn how to use Apache Sedona and perform advanced analysis on the Transportation dataset.
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Collaborative Filtering Recommender System Project - Comparison of different model based and memory based methods to build recommendation system using collaborative filtering.
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In this deep learning project, you will learn to build a neural network from scratch using NumPy
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In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
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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
A comprehensive guide on LLama2 architecture, applications, fine-tuning, tokenization, and implementation in Python.
8 Deep Learning Architectures Data Scientists Must Master
From artificial neural networks to transformers, explore 8 deep learning architectures every data scientist must know.
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