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Learn to debug logs and web applications in Heroku with Krish Naik. In less than an hour, gain understanding in troubleshooting, testing, fixing, and deploying.
Krish Naik offers a concise, less than 1-hour deep dive into LSTM Recurrent Neural Networks, covering memory cells, pointwise operations, and input/output layers.
Learn to query JSON documents using MongoDB with Python in less than an hour with Krish Naik. Ideal for data science enthusiasts.
Learn about performance metrics for machine learning classification problems with Krish Naik. In less than an hour, delve into binary classification, recall, and precision.
Krish Naik's brief tutorial (under 1 hour) provides an introduction to Python's numpy library, covering array concepts, indexing, and inbuilt functions.
Learn Python lists and Boolean variables in less than an hour with Krish Naik. The material covers introduction, Boolean functions, logical operations, and inbuilt functions.
Learn to build artificial neural networks with Krish Naik in under an hour. Topics include feature scaling, initialization, and activation functions.
Learn to set up and deploy a machine learning project on Github with Krish Naik in under an hour. The material covers environment creation, repository initialization, and setup requirements.
Krish Naik's concise guide to feature transformation in machine learning, covering standardization, scaling, and Gaussian transformation in under an hour.
Krish Naik's short online program teaches how to use the EvalML AutoML library to automate various aspects of a Data Science project, including feature engineering and model tuning.
Dive into SVM Kernels with Krish Naik's online material, focusing on polynomial kernels, use cases, and hyperparameter tuning in under an hour.
Krish Naik's short program offers insights into machine learning retraining approaches, focusing on incremental model training. Includes practical examples and performance metrics.
Explore the intricacies of Alexnet Architecture with Krish Naik in less than an hour. Dive into deep learning, CNN, and coding with comprehensive materials and live streaming.
This course covers the fundamentals of data transformation and ingestion using libraries & pipelines.
Learn to deploy ML applications using CI CD pipelines, GitHub actions, ECR, and EC2 instances in under an hour with Krish Naik.
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