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This is a Beginner Friendly course on Machine Learning. In this course you will learn what is Artificial Intelligence and what is Machine Learning in the context of AI.
We have built this course with results in mind. The course focuses on building 3 models as experience quotient.
You will learn the basics of Python, machine learning, TensorFlow Estimator, PyCharm, and MNIST.
By the end of the course, you will have 3 completed models and corresponding apps.
- Weather Prediction App
- Stock Market Prediction App
- Text Prediction App
The course will cover most popular machine learning algorithms and how they have evolved and applied.
We will be using Google’s Deep Learning Framework TensorFlow with Python. You will learn how to apply ML in the context of mobile environment. You will learn how to build apps that use machine learning and will have gained knowledge and experience of end to end product development, that you will be able to directly apply on your job or in your pursuit of a new job.
We will build computational model, train it and test the model for accuracy. We will also cover Linear Regression Models. You will understand how ML concepts are applied, by understanding how to train a model, evaluate model accuracy and predict values using the model.
This course will give you a solid foundation in Machine Learning, get you prepared to contribute in your current role, to any project or initiative that uses ML
A verifiable digital certificate and badge will be issued that can be showcased on online platforms such as LinkedIn, and employers will be able to validate the credential via the validation functionality
