Bitcoin price checking/playing became the world wide, morning/all day activity of all white collars. As a data scientist, I think real latent Bitcoin function is white noise(returns), random walk(price), totally real function seems very complicated.
In this post, I will try to show some simple/base case for Bitcoin prediction. At past…


In this post I will try to show some different visualizations for ACF and PACF. There are already lots of nice tutorials, but visualization is not sufficient I think. …


In this post I will make Topic Modelling both with LDA (Latent Dirichlet Allocation, which is designed for this purpose) and using word embedding. I will try to apply Topic Modeling for different combination of algorithms(TF-IDF, LDA and Bert) with different dimension reductions(PCA, TSNE, UMAP).

The code is at github…


In this post I will try show how Bert learned to reply our custom questions for custom sets through training. I will try to reveal intermediate steps and what changes in these steps.

The code is at github : Link
You can view in nbviewer : Link

I will try…


In the previous post I showed basic usage of Bert for Question Answering. Now I will try to show how we can fine tune Bert for QA.

The code is at github : Link
You can view in nbviewer : Link

I found an open health set for generating data…


In this post I will show the basic usage of “Bert Question Answering” ( Bert QA) and in the next posts I will show how to fine tune.
The github code : Link

As like all transformers, usage is very simple. We give 2 parameters context and question. …


In former post I played with SVD for Recommendation. Now I will play with heartbreaking “Surprise library”. They make everything a few lines, so soon our job could be a excel plugin.
The code if at github. ( Link )

In this post, I will be using Surpise and compare…


In this post I will try to visualize what SVD does for us. I will try to predict my personal likes with algorithm. I will use standard dataset MovieLens. This will be series of post for Recommender Systems with:
SVD
Surprise Recommender Library
Neural Network

Dataset everyone is using for Recommender Systems

The code is at github…


In this post, I will try to show simple usage and training of GPT-2. I assume you have basic knowledge about GPT-2. GPT is a auto-regressive Language model. It can generate text for us with it’s huge pretrained models. I want to fine tune GPT-2 so that it generates better…


In this post, I will show simple XLNet usage and try to explain with simple visualizations. There are already pretty nice tutorials. So here I assume you have basic knowledge about XLNet. Like my other posts(attention,Bert) I try to show meaningful examples with simplest dataset possible.

The code is at…

mustafac

Data Scientist & Machine Learning

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