Exercises for Mathematics on Machine Learning (AI Models included)

1. Plotting mathematical formula y = np.sin(b) + b * 1/10, explaining how to find local minimum on formula.
2. Training model on student's income and testing the accuracy of Neural Network and Linear Regression algorithms.
3. Image recognition using tensorflow keras. Text answers on image input.
4. Preparing NYSE data and predicting results with linear regression and statsmodel.
5. Training and testing AAPL stock data (NYSE). Predicting results with Decision Tree Regressor model.
6. Sequential prediction on normalized dataset. LSTM and Dense added. Results extraction in one epoch.
7. Testing IMDB dataset splitting dictionaries and testing on 3 epochs. Embedding formula added using 32 layers with 500 input length.

All datasets and solutions are included.