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Learn using GCP BigQuery for exploring and preparing data for analysis and transformation of your datasets.
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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 Microsoft Azure Project, you will learn how to create delta live tables in Azure Databricks.
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In this Deep Learning Project, you will learn how to optimally tune the hyperparameters (learning rate, epochs, dropout, early stopping) of a neural network model in PyTorch to improve model performance.
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In this Project we will build an ARCH and a GARCH model using Python
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Multilabel Classification Project to build a machine learning model that predicts the appropriate mode of transport for each shipment, using a transport dataset with 2000 unique products. The project explores and compares four different approaches to multilabel classification, including naive independent models, classifier chains, natively multilabel models, and multilabel to multiclass approaches.
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A comprehensive guide on LLama2 architecture, applications, fine-tuning, tokenization, and implementation in Python.
Learning Optimizers in Deep Learning Made Simple
Understand the basics of optimizers in deep learning for building efficient algorithms.
20+ Natural Language Processing Datasets for Your Next Project
Use these 20+ Natural Language Processing Datasets for your next project and make your portfolio stand out.
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