Bnei Brak buying weed

Bnei Brak buying weed

Bnei Brak buying weed

Bnei Brak buying weed

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Bnei Brak buying weed

The use of marijuana for recreational purposes is illegal in Israel. But where is a demand, there is always a supply. Telegrass is a network for purchasing marijuana in Israel. The network offers quick deliveries with the option to write reviews about the sellers. Users can read reviews about the sellers so they can make a better decision from who they are going to make a purchase. There is a conventional bot that helps the user to write a review and rate the seller on 4 points while each ratings is between 0 to 5. We are only interested in the message body, since the reviews are submitted by bots after some human review so the message metadata is not particularly interesting. So the next step that we need to apply is prepared the data for analysis. Before we can query and analyze the data, we would need to prepare it for the analysis i. However, writing the code that will to this is a very time consuming and relatively dull task with a lot of trial and error. Cloud Dataprep is serverless and works at any scale. There is no infrastructure to deploy or manage. Easy data preparation with clicks and no code. So in just 60 trivial steps or so listed below and without writing a single line of code I was able to create a structured data from the ratings. The DataPrep UI allows you to see in real time the transformation and therefore to visually debug and adjust the process. Some steps involved splitting the data based on charters or patterns and dropping rows with invalid values. Finally, Cloud Dataprep natively supports writing the resulting data to a large variety of data sources. As you can see the highest correlation to the satisfaction is the price and the quality of the product. Should we trust the rating? Well, the online rating is often subjected to self-selection bias. We can see that there is a high correlation between the high scores and the most common bigram in the reviews. If I had to imagine, I would say sometime during the late evening, or the night, however, the actual data proved me wrong:. We will start by getting the top 20 reviews generating cities. Now will will add a new coulmen population and we will populate pun intended it with data from the the Israel Central Bureau of Statistics data is for end of Before we start to compare the results, one thing is standing out. We will take a look at the first and the last results. Tel-Aviv is a city with young population and a center for many high tech companies, it is the most liberal city in Israel. People are very tech savvy and like to state their opinion. Now it is time to play a bit with ML using TensorFlow. First I created a training set and a test data set. I took the code written by Akshay Pai and adjusted it a bit to my needs. I loaded the test set and calculated the RSME. The RMSE is 1. Then you can analyze it using BigQuery and TensorFlow to get some interesting insights. With the growth of multicloud environments as well as the need for scalable, flexible, and powerful cloud-based data warehouse. The hallmark of any effective FinOps or cloud management practice is the ability to not only detect and visualize. You will receive a calendar invite to the email address provided below for a minute call with one of our team members to discuss your needs. Aviv Laufer Date: January 8, How was communication with the seller? What was the quality of the product? Was the price fair? Was it delivered on time? View the code on Gist. Subscribe to updates, news and more. Related blogs. Monitor and manage Snowflake costs using DoiT Cloud Navigator With the growth of multicloud environments as well as the need for scalable, flexible, and powerful cloud-based data warehouse. Turning potential savings into reality with DoiT Threads The hallmark of any effective FinOps or cloud management practice is the ability to not only detect and visualize. View all blogs. Ready to get started? Get in touch. Never miss an update. Subscribe to our newsletter. Schedule a call with our team You will receive a calendar invite to the email address provided below for a minute call with one of our team members to discuss your needs.

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