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Results tagged with deep-learning
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user 64876
a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
2
votes
0
answers
52
views
Should credit be given to AI model - low data scenario [closed]
In my office, we recently built an AI model for project success prediction using binary classification.
Though the dataset size was small (977 records), my boss still wanted to go ahead with the POC b …
- 2,655
1
vote
2
answers
544
views
Suggestions for guided NLP online courses - Beginner 101
I would like to know from the data science community here for suggestions on nlp courses.
I am new to NLP area and would like to take up a course which covers from basic to advanced concepts such as t …
- 2,655
9
votes
2
answers
1k
views
MLOps for beginner
I am 1 year old in ML and have been using jupyter notebook to build static models all these days, do some analysis and present my results to the bosses as it was all POC.
Now, we would like to scale t …
- 2,655
0
votes
0
answers
603
views
Dealing with near duplicates using NLP
I have a dataframe like as shown below
ID,Name,year,output
1,Test Level,2021,1
2,Test Lvele,2022,1
2,dummy Inc,2022,1
2,dummy Pvt Inc,2022,1
3,dasho Ltd,2022,1
4,dasho PVT Ltd,2021,0
5,delphi Ltd,2021 …
- 2,655
4
votes
1
answer
707
views
How to reset ML model's memory?
I have been working on binary classification problem using algorithms such as Random Forest, neural networks, Boosting methods and logistic regression.
However, during my model building process, I twe …
- 2,655
1
vote
2
answers
121
views
Interpretation of statistical features in ML model
I have a data like as shown below (working on classification problem using traditional classification and DL based approaches)
I see in feature engineering tutorials (and tools) here and here, they u …
- 2,655
0
votes
1
answer
56
views
When to use best hyperparameters - Feature selection or Model building?
I am working on a binary classification with 977 rows using different algorithms
I am planning to select important features using wrapper methods.
As you might know, wrapper methods involve use of ML …
- 2,655
4
votes
1
answer
2k
views
Automated feature selection packages - Python
I am working on a binary classification with 977 rows. class proportion is 77:23. I have lot of high cardinality categorical variables and couple of numeric variables such as Age and quantity.
I would …
- 2,655
1
vote
0
answers
1k
views
SMOTE before categorical encoding vs SMOTE after categorical encoding
I have a small dataset of 977 rows with a class proportion of 77:23.
For the sake of metrics improvement, I have kept my minority class ('default') as class 1 (and 'not default' as class 0).
My input …
- 2,655
6
votes
1
answer
14k
views
How does SMOTE work for dataset with only categorical variables?
I have a small dataset of 977 rows with a class proportion of 77:23.
For the sake of metrics improvement, I have kept my minority class ('default') as class 1 (and 'not default' as class 0).
My input …
- 2,655
0
votes
1
answer
57
views
Why best hyperparameters leads to drop in test performance?
I am working on a binary classification problem using random forests (75:25 - class proportion). Label 0 is minority class. So, I am following the below approach
a) execute RF with default hyperpara …
- 2,655
0
votes
1
answer
468
views
Usefulness of intercept in layman terms - ELI5
I am working on a binary classification problem with 1000 rows and 10 features.
While I did use random forest for classification, I also used LIME to explain the predictions of the random forest.
Howe …
- 2,655
0
votes
1
answer
797
views
Fitting column wise ordinal encoder
I already posted this here but no response, so posting it here
I have a dataframe like as shown below
tdf = pd.DataFrame({'grade': np.random.choice(list('AAAD'),size=(5)),
'dash': n …
- 2,655
1
vote
2
answers
545
views
Explainable AI solutions and packages in Python
I recently built a logistic regression for binary classification
While I understand that logistic regression is inherentlt interpretable, I am trying to use explainable AI solutions to understand the …
- 2,655
7
votes
2
answers
12k
views
Encoding before vs after train test split?
Am new to ML and working on a dataset with lot of categorical variables with high cardinality.
I observed that in lot of tutorials for encoding like here, the encoding is applied after the train and t …
- 2,655