Q1 Keras and the MNIST Dataset (Optional)
Summarize all the results for the MNIST Dataset – http://yann.lecun.com/exdb/mnist/
Q2: Analyze the MNIST Dataset with Keras
Show screen shots to show installation Explain your results
Hint – use the following links
Install keras on anaconda – https://anaconda.org/conda-forge/keras
Q3. Redo MNIST Dataset with CNN
Hint – use the following links
Q4 Use Tensorflow play to provide insights on how Tensorflow works –
•Tensor Flow Playground
Q5. Recommendation system with Tensorflow (Optional)
Go through the following tutorial to do the recommendation system with Tensorflow
Q6 Do the XGBoost Exercise on the Titanic dataset
Install XGBoost on anaconda – https://anaconda.org/conda-forge/xgboost
hint on link –
Q7 Apply XGBoost to Churn Modelling (same dataset as for ANN from previous week’s exercise)
And compare results to the ANN algorithm
Q7 XGBoost for Churn Modelling.zip
Sample Solution