Given, a handwritten dataset. This project uses the dataset to create a model using Artificial Neural Networks (ANN) which is used to predict letters based on the handwriting.
Python libraries used:
- NumPy
- Pandas
- Matplotlib
- Tensorflow/Keras
Steps involved:
- Loading and understanding the dataset.
- Exploratory Data Analysis for finding missing values, selection of features and target attribute, and visualization of the dataset.
- Splitting the dataset for training and testing.
- Creating and training the model using Artificial Neural Network (ANN)
- Evaluating the model using the test data.
- Understanding the working of the model.
Overall, the model is able to predict the letters from handwritings with 95 percent accuracy.