Created multiple neural networks to deploy and solve deep learning problems.
Used data science algorithms to analyse data in real life projects, such as spam classification and image recognition.
Learned through practical practice how to use the latest tools in data science, including: Tensorflow, Matplotlib, Numpy, and pandas.
Applied data visualisation techniques to explore large datasets.
Modules: Predict movie box office revenue with Linear Regression Python programming for data science and machine learning Introduction to Optimsation and the Gradient Descent algorithm Predict house proces with Multivariable Linear Regression Pre-process Text data for a Naive Bayes Classifier to filter Spam Emails Train a Naive BAyes Classifer to create a spam filter Test and evaluate a Naive Bayes Classifeir Introduction to Neural Networks and how to use pre0trained models Build an artificial neural network to recognise images using Keras & TensorFlow Use TensorFlow to classify handwritten digits Serving a TensorFlow model through a website