-
https://github.com/aminrahimian/data-for-good/blob/main/tutorials/Algorithms/LinearRegression/class_1_linear_regression_mortgage.ipynb?short_path=ad7327c#L40
-
Add
- [x] SimpleLinearRegression
> In linear regression, the model specification is that the dependent variable, y is a linear combination of the parameters (but need not be linear in the independ…
-
```
docs/
├── README.md # Overview of the documentation structure
├── getting-started/
│ ├── introduction.md # Introduction to AIBuddies and AI
│ …
-
Through Python 3.6 and scikit-learn, the model will predict the language of new data. Steps include data preprocessing, feature extraction, model training, and evaluation. Techniques like tokenization…
-
In the code, the datasets are being mounted from google drive which takes more time and lags execution time. Instead the datasets are present in Data directory so fetching from it will be more feasibl…
-
-
I looked in the FLAML documentation and I didn't see how FLAML handles missing values for regression and classification tasks for different estimators, FLAML should add in the documentation for differ…
-
`Scikitlearn` is the de facto home for all kinds of modeling algorithms. It has a plethora of
algorithms but still one thing that seems to be missing is the implementation of `LogisticRegression` whe…
-
not sure about this, needs more thinking! This is about predicting per-instance ordinal values where we only know the partial ordering of targets but where the target value is otherwise not on an inte…
-