Here are the highlights of my GitHub.
Skills: Python / Fortran / C#
karate.mp4
| my image to graph function | SKlearn img_to_graph command |
|---|---|
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| ACC=0.961 | ACC=0.971 |
karate.6.mp4
A model that detects the existence of tumor in brain MRI images.

| Original Image | Image with Detected Objects |
|---|---|
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| Original Image | Image with Detected Objects |
|---|---|
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I implemented the mask R-CNN with its defined classes.

| Model Name | Tf-Idf | Embedding | Pre-trained Glove | BERT |
|---|---|---|---|---|
| Confusion Matrix | ![]() |
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| Accuracy | .72 | .76 | .77 | .79 |
| Model Name | Random Forest Classifier | SGD |
|---|---|---|
| Accuracy | .80 | .79 |
| Machine Learning with Python | Deep Leaning and Neural Networks with Python |
|---|---|
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| Tehran University | Tehran University |















