Sure! Here are some steps you can follow to implement an SVM from scratch:
1. Install necessary modules such as pandas and sklearn.
2. Import necessary modules.
3. Create a pandas dataframe from your dataset.
4. Define the Feature and the Target variables.
5. Split the data into train and test sets using train_test_split.
6. Instantiate Linear SVC object.
7. Train the linear SVC classifier using the training data.
8. Make predictions.

I hope this helps! Let me know if you have any other questions or if there's anything else I can help you with.
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