You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
1. Loading the data.
2. Exploratory Data Analysis (EDA).
3. Data preprocessing.
4. Data augmentation.
5. Ploting images and its labels to understand how does an infected cell and uninfected cell looks like.
6. Spliting data in Train , Evaluation and Test set.
7. Creating a Convolution Neural Network function.
8. Wrapping it with Tensorflow Estimator function.
9. Training the data on Train data.
10. Evaluating on evaluation data.
11. Predicting on Test data
12. Ploting the predicted image and its respective True value and predicted value.
Step 5 which is Ploting images and its labels to understand how does an infected cell and uninfected cell looks like. should be removed since its EDA step and need to reorder the other steps after removal.
Type
Refactoring
Description
Malaria_detection.ipynb in Steps to solve the problem section we have following steps,
Step 5 which is
Ploting images and its labels to understand how does an infected cell and uninfected cell looks like.
should be removed since its EDA step and need to reorder the other steps after removal.Tools
Have you read the Contributing Guidelines on Pull Requests?
Ya
Motivation
To have better markdown for Notebook by writing more appropriate steps
The text was updated successfully, but these errors were encountered: