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[EN] Data Science / AI / ML / Big Data 👮‍♂️ Protected by R2D2
@bigdata_en
22.11.2023 19:00
Hello everyone. I was able to design a real estate sales dashboard using PowerBI.

It covers sales based on various metrics that the user needs such as time, number of rooms, house grading and many more.

For a more detailed explanation, you can view it through the link below:
https://www.linkedin.com/posts/kevinmugo_realestateanalytics-powerbi-businessintelligence-activity-7132673590943961089-4Upn?utm_source=share&utm_medium=member_android
Linkedin
#realestateanalytics #powerbi #businessintelligence #datadrivendecisions #realestateinvesting #propertyinsights | Kevin Mugo
This week, I was able to implement a PowerBI real estate portfolio project with the following features: 📅 Date-Driven Decisions: The dashboard leverages the power of time trends to uncover market insights. End users can spot total sales fluctuations over time, allowing them to strategize effectively. 💰 Cost Optimization: You can dive into the cost efficiency of your properties with the 'Cost per Square Foot' KPI. This assists in maximization of Return On Investment by identifying trends in construction costs and market demand. 🏠 Property Features Breakdown: You can easily navigate through bedroom and bathroom preferences, helping you tailor listings to meet your clients' needs. 📏 Square Feet Sold: This feature enables you to unlock the potential of discovering patterns in property sizes to refine your marketing strategy and target specific buyer segments. 🎓 Grade Insights: You can uncover the mean grade of properties, guiding you towards high-quality investments. It can also elevate your portfolio by focusing…
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[EN] Data Science / AI / ML / Big Data 👮‍♂️ Protected by R2D2
@bigdata_en
07.11.2023 22:38
Anyone ever deployed github repo to azure ml studio with its repo?
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[EN] Data Science / AI / ML / Big Data 👮‍♂️ Protected by R2D2
@bigdata_en
20.10.2023 17:05
which label_type to use in make_label_dictionary (flair)? I input data consisting of two columns: __label__1/0 and text. make_label_dictionary(label_type='class')
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[EN] Data Science / AI / ML / Big Data 👮‍♂️ Protected by R2D2
@bigdata_en
20.10.2023 04:29
Is there anyone who could help with the referral for European companies?

I am looking for data science work in Netherlands
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[EN] Data Science / AI / ML / Big Data 👮‍♂️ Protected by R2D2
@bigdata_en
17.10.2023 16:35
Hi there!

We specialize in implementing AI in projects.

We would be happy to discuss ML/CV/NLP ideas with those who are looking for a team to develop an AI product.

Thank you!
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[EN] Data Science / AI / ML / Big Data 👮‍♂️ Protected by R2D2
@bigdata_en
21.09.2023 07:14
I can help with AWS, Data Engineer and Java projects
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[EN] Data Science / AI / ML / Big Data 👮‍♂️ Protected by R2D2
@bigdata_en
15.09.2023 15:22
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[EN] Data Science / AI / ML / Big Data 👮‍♂️ Protected by R2D2
@bigdata_en
14.09.2023 21:07
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[EN] Data Science / AI / ML / Big Data 👮‍♂️ Protected by R2D2
@bigdata_en
11.09.2023 18:38
Azure Data Factory Course in Telugu (తెలుగులో) | Fundamentals in 45 mins
https://youtu.be/R3SxA6A09h0
YouTube
Azure Data Factory Course in Telugu (తెలుగులో) - Part 1 | Fundamentals in 45 mins
#azuredatafactory #azure #dataengineeringessentials Telegram channel: https://t.me/techinteluguchannel In this classroom training video I'm going to cover fundamentals of Azure Data Factory. Azure Data Factory is a fully managed, serverless data integration service that enables you to create, schedule and orchestrate ETL/ELT workflows at scale wherever your data lives, in cloud or on-premises. It has four key components that work together to define input and output data, processing events, and the schedule and resources required to execute the desired data flow: Datasets represent data structures within the data stores. An input dataset represents the input for an activity in the pipeline. A pipeline is a group of activities. They are used to group activities into a unit that together performs a task. Activities define the actions to perform on your data. Linked services define the information needed for Azure Data Factory to connect to external resources. Azure Data Factory can help you manage all kinds of data with the help of data lake storage. You can then analyze the data and transform it using pipelines, and finally publish the organized data and visualize it with third-party applications like Apache Spark or Hadoop3. For my previous videos please check the following links. Previous Episodes: Azure Databricks Introduction: https://youtu.be/RW-F-sJzpPk Azure Databricks Episode 1: https://youtu.be/Omf_i45b8Pc Episode 1: PySpark Tutorial తెలుగులో (PySpark introduction & installation in Windows 10) https://youtu.be/4sxlriCqzgQ Episode 2: PySpark Tutorial తెలుగులో - Spark Architecture & Features (స్పార్క్ ఆర్కిటెక్చర్ & ఫీచర్స్) https://youtu.be/-UPouanDfQk EP 03. Writing your first PySpark Program|(PySpark లో మొదటి ప్రోగ్రామ్) | PySpark Tutorial తెలుగులో https://youtu.be/ngbeREkf5sk Big Data Introduction: https://www.youtube.com/playlist?list=PLhR9Ed-_R-8Ux4N6pYvhLUqr7M2vj_ZuE
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[EN] Data Science / AI / ML / Big Data 👮‍♂️ Protected by R2D2
@bigdata_en
11.09.2023 16:59
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[EN] Data Science / AI / ML / Big Data 👮‍♂️ Protected by R2D2
@bigdata_en
11.09.2023 12:24
Hey, is anyone proficient in machine and deep learning? I need some assistance, please DM me.