Prediction on the famous MNIST dataset.The MNIST database of handwritten digits, It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image. Predicts the number from the image of numbers provided.

• Image Data preprocessing.
• Data Visualization and Exploratory Data Analysis.
• Image Data Normalization and Scaling.
• Training using Sequential Model with Conv2D,MaxPool2D,Flatten and Dense Layers , with output layer having Softmax activation.
• Compiled using AdamOptmizer as optmizer and categorical_crossentropy as the loss function as its multi class classification problem.
• Solving Overfitting issues using EarlyStoppings Callbacks and Dropout Layers in Network.
• Hyperparameter Tuning the Algorithms yielding best results.
• Testing the model on custom reallife Image data.

• Buitin Dataset from Keras

• TensorFlow 2
• Keras
• Scikit-Learn
• Seaborn
• Matplotlib
• Pandas
• Numpy