/Melanoma-Analysis

Using Plotly and Data Visualization libraries to do an Exploratory data analysis

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

Melanoma-Analysis

Using Plotly and Data Visualization libraries to do an Exploratory data analysis

About Dataset

SIIM-ISIC Melanoma Classification

To Identify melanoma in lesion images for further details visit kaggle

Melanoma Analysis Project

I have used efficient and creative exploratory data analysis tools like sns, matplotlib and plotly

for installation of plotly refer

Libraries Used

  1. tensorflow
  2. keras
  3. plotly
  4. sklearn
  5. Matplotlib
  6. Seaborn
  7. Numpy

Data Visualisations

alt text

histopathology_images

histogram_plots

DICOM Benign Cancer Images

DICOM_images

TO Do tasks

  1. KFolds to be initialized for Densenet model
  2. Making Predictions
  3. Using Tensorflow lite(optional)

Do view my notebook on Kaggle and upvote it, it will motivate me to make more notebooks!! and I am also interested in collaboration in any form if you find my notebook interesting do create an issue here or connect with me on Kaggle.

Here is my notebook

Happy Learning!!