![]() We also see how one can implement a re-usable cross validation framework. In this episode, we talk about the need for #cross #validation and different types of cross-validation. This is the second episode of my video series on applied #machinelearning. Github for this episode: 3) Episode 2: A Cross Validation Framework This is the first video (part2) of my applied machine learning series. ![]() Github for this episode: 2) Episode 1.2: Building an inference for the machine learning framework Please let me know in comments what you want to learn and I will make it happen :) The whole idea behind this episode is to create code which is re-usable, looks good and can be applied to many different kinds of problem without changing a lot of code. In this video, I talk about the motivation for this channel and then show how you can create a re-usable machine learning framework for simple tabular datasets.ĭue to the size of the video, I split them into 2 sub-episodes:Įpisode 1.1 consists of motivation, setting up a web based IDE, creating an empty framework and creating model trainingĮpisode 1.2 shows how the trained model can be used for inference. This is the first video (part1) of my applied machine learning series. I got a chance to try NVIDIA A100 GPU via qblocks.cloudĪpplied Machine Learning Framework 1) Episode 1.1: Intro and building a machine learning framework I hope you like it :) NVIDIA Broadcast App: AI-based application for streaming / broadcasting / meeting (all features) This Christmas #NVIDIA gifted me an #RTX #3090 GPU and I decided to put it to good use.īut before that, I needed to unbox and install it. ![]() NVIDIA Unboxing and Installing NVIDIA RTX 3090: The BFGPU
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