Questions tagged [data-science-model]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
3
votes
3answers
372 views

What skills do I need to become a data scientist? And how to show them? [closed]

I have fimiliarized myself with the recommended most important concepts (Linear Algebra, Analysis, Phython, Numpy, Pandas, a bit of Statistics, Linear regression). For the last two, I don't know how ...
7
votes
2answers
352 views

How does real world machine learning production systems run?

Dear Machine Learning/AI Community, I am just a budding and aspiring Machine Learner who has worked on open online data sets and some POC's built locally for my project. I have built some models and ...
3
votes
1answer
1k views

Tips on how to preprocess data and outliers for churn analysis

I am doing analysis on telecom churn dataset. I have 4617 observations and 17 variables. I am using Python. I have the following questions, 1) When I skewness and kurtosis for the normality test, two ...
1
vote
2answers
6k views

Feature Scaling both training and test data

It is stated that for: Feature Normalization - The test set must use identical scaling to the training set. And the point is given that: Do not scale the training and test sets using different ...
1
vote
1answer
256 views

Anomaly Detection/Novelty detection

I have a data-set that has over 6 million normal data and around 50 anomaly data. Those anomaly data is identified manually (by monitoring the user`s activity over camera and identify). I need to ...
0
votes
1answer
72 views

How can I use data science / machine learning / statistics / data analytics techniques to find better customers in the future? [closed]

I work for a business to business company with a data set containing approximately 2700 businesses as customers. For each business customer I have approx number of staff, location, industry, the sales ...
0
votes
2answers
83 views

Which ML algorithm should I use for following use case for classification and Why?

I have data in table format having total 3 columns. One column for label, other two columns are features. So, such 30 rows(1 row contains 2 feature and 1 label) make one set of data with all 30 rows ...