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Pinned Threads
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KnowledgeKingX
shweta
Alex
janhavi
pangaeaX
- 6 months ago
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
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6
- 1 year ago
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5
- 1 year ago
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- 1 year ago
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4
- 2 weeks ago
Weekly Posting Rituals
What are the key benefits of staff outsourcing
Staff outsourcing can offer numerous advantages to small businesses, particularly in terms of efficiency and cost-effectiveness. Here are some key benefits: Cost Savings: Staff Outsourcing allows businesses to avoid the…
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2
kashaf
- 7 months ago
What benefits come with employing a developer for Power BI?
Hire Power BI developer with cross-functional knowledge has several benefits, one of which is a deeper comprehension of various business processes and their interconnections. These developers are able to produce…
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3
- 2 years ago
How do data visualization consulting companies ensure the scalability of solutions?
Data visualization consulting company ensures scalability by designing solutions that can grow with the business. They implement data models and structures that can handle increasing data volumes without compromising performance.…
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3
- 1 year ago
Bounty Questions
🏅 Bounty: 200 pts
How often you update feature engineering after deployment to handle data drift in ML ?
In your machine learning projects, once a model is deployed, how often do you revisit and adjust the feature engineering process to address issues caused by data drift?What indicators or…
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4
- 11 months ago
🏅 Bounty: 200 pts
How much statistics you need to know as a data analyst?
I am planning to learn data analytics and i got overwhelmed by all the information at the internet so I am asking here how much statistics do you need and…
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2
- 11 months ago
Do protocols work perfectly on bare metal but break inside containers and Kubernetes?
I’ve noticed a recurring pattern with networking-heavy applications: everything works as expected on a local machine or VM, but the moment it’s deployed inside Docker or Kubernetes, service discovery starts failing. A recent example involved a BACnet/IP application that could…
What’s the fastest way to learn NumPy without getting stuck in tutorial hell?
NumPy is often recommended as the foundation for data analysis, machine learning, and scientific computing in Python. But for beginners, it’s not always clear how deeply they need to understand NumPy before moving on to pandas, visualization libraries, or real-world…
Where do you draw the line between feature engineering and in scikit-learn pipeline?
As machine learning pipelines become more complex, I find myself struggling with a design question rather than a coding one. When you’re working with scikit-learn’s Pipeline and ColumnTransformer, where do you place custom feature creation logic? For example: Creating interaction…
Are BI dashboards making teams more data-driven, or just better at looking at data?
Most organizations invest heavily in dashboards, reports, and KPI tracking. Yet many teams still struggle to turn insights into action. I’ve seen cases where everyone agrees on the numbers, but decisions are still made based on intuition, politics, or urgency…
Are we trying to use RAG for problems that should be solved with traditional tools?
I recently came across a discussion about using a Retrieval-Augmented Generation (RAG) system to audit CAD files (STEP/OBJ) for geometry issues, missing features, and manufacturing errors. It made me wonder whether we’re sometimes reaching for LLMs when deterministic tools might…
Should validation metrics account for class imbalance the same way training does?
When training classification models on imbalanced datasets, it’s common to use class weights to prevent the model from favoring the majority class. But it got me thinking: If class weights are influencing the optimization process during training, should validation metrics…
Why does my BigQuery UPDATE fail when replacing 0 values with NULL using CASE statements?
I’m cleaning a weather dataset in Google BigQuery where missing values in wind_speed and visibility were incorrectly stored as 0. I tried updating the table like this: UPDATE `my_project.weather_data.tracks_2023` SET wind_speed = CASE WHEN wind_speed = 0 THEN…
How do you reduce hallucinations in LLMs without sacrificing response quality?
I’m working on an AI application that uses a large language model for question answering over internal documentation. While retrieval augmentation has improved factual accuracy, the model still occasionally generates confident but incorrect responses when the retrieved context is incomplete…
How do you handle concept drift without frequent retraining?
I’m maintaining a machine learning model that’s deployed in production, and over the past few months I’ve noticed a gradual decline in performance. The data distribution has shifted, but not enough to justify retraining the model every few days. Right…
What’s the toughest data interview question you’ve been asked that you didn’t expect?
I’ve been preparing for data analyst and data scientist interviews, and I’ve noticed that many interview experiences online focus on SQL, Python, and statistics. But I’ve heard that some companies ask open-ended business or case-study questions that are much harder…
Business Intelligence or Artificial intelligence or both?
I am a new graduate and I am thinking whether to get into business intelligence profile or Artificial intelligence? I did read up on google. Is business intelligence stepping stone to world of data?
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6
MJ
Wrapo Biz
NA_analytics
- 3 years ago
Is MS Excel still in the game of reporting?
I am an experienced data analyst using MS Excel for years with VBA expertise. Do you think I should continue creating dashboards for it or learn one of these fancy tools of today? If yes, what should I choose?
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6
LookUpVisualizer
Razrap
- 3 years ago
Model is failing in spite of continuous training.
How and what can I do to train my model. My sample population doesn’t seem to work. My inputs don’t change that often.
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3
- 3 years ago
What is the best way to collect the data?
I have tried my best to collect data from surveys, questionnaire, interviews and group discussions. What else can be my choice? I follow the above model. Please suggest a better framework to better represent the collected data.
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3
- 3 years ago
Curious to know, what are the best tools on visualization in the market?
Have you used tools like Domo, Looker or Birst? Are these worth it according to you?
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3
Rajesh_Vincent
- 3 years ago
How to optimize steps in pentaho?
The current transformation does not run fast enough. The work is done but it takes longer than expected causing delays in the report generation. Any tips will help.
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1
- 3 years ago
Difference between analytics and analysis?
I am not from data background I am curious to know what really is the difference from the professionals, not the bookish definition of it.
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3
Sameer Barari
- 3 years ago
Analyst role in the companies
I have heard of data analysts who handle different set of things for different companies. A data analyst could be a data engineer or a data scientists or just into data analysis. What do you think is the actual role…
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2
- 3 years ago
R Web scraping issue
I am trying to enter keywords in a search field on a web page through R. Firstly I access link in R, use selector gadget to select the search field, extract keyword from list in R, ‘paste’ in search field…
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2
- 3 years ago
SQL – Recommendation needed
Hey guys, I’m currently studying Data Analytics and I’ve finally started writing SQL queries! Any recommendations for structured SQL learning?
Resources to Learn Data Science
A collection of the best courses, books, and tools to learn data science.
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6
- 1 year ago
Business Intelligence or Artificial intelligence or both?
I am a new graduate and I am thinking whether to get into business intelligence profile or Artificial intelligence? I did read up on google. Is business intelligence stepping stone to world of data?
-
6
- 1 year ago
Is MS Excel still in the game of reporting?
I am an experienced data analyst using MS Excel for years with VBA expertise. Do you think I should continue creating dashboards for it or learn one of these fancy tools of today? If yes, what should I choose?
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6
- 1 year ago
Tools You Can’t Live Without
Share the tools that make your data workflow more productive.
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5
- 1 year ago
Seeking Power BI Consultants/Freelancers for Partner Opportunities
Hi Folks- I recently launched a data platform designed for non-technical users. It’s a simple data hub for structuring, sharing, and collecting data. Other nice features: better data governance through reporting, data catalog, and sharing approval workflows, row level access…
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Kavya Iyer
Shweta Dubey
- 1 year ago
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5
- 1 year ago
Is data mining redundant now? Or are there still data miners out there?
Data mining is often described as the process of discovering patterns, correlations, and trends within large datasets to generate actionable insights. But in today’s context—where data is abundant and growing exponentially—how do we ensure that the patterns we uncover are…
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4
- 1 year ago
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4
- 1 year ago
How often you update feature engineering after deployment to handle data drift in ML ?
In your machine learning projects, once a model is deployed, how often do you revisit and adjust the feature engineering process to address issues caused by data drift?What indicators or monitoring strategies help you decide when updates are needed?
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4
- 1 year ago
Job & Freelance Opportunities
Find your next gig or share opportunities with the community.
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4
- 1 year ago
