The Introduction of AI and Machine Learning with Python

About this course

Dive into the concept of Artificial Intelligence and Machine Learning (ML) and learn how to implement advanced algorithms to solve real-world problems. This course will teach you the workflow of ML projects from data pre-processing to advanced model design and testing.

By the end of the course the students will be able to:- Build a variety of AI systems and models.- Determine the framework in which AI may function, including interactions with users and environments.- Extract information from text automatically using concepts and methods from natural language processing (NLP).- Implement deep learning models in Python using TensorFlow and Keras and train them with real-world datasets.

Detailed course outline:

Introduction to AI. Introduction to AI and Machine Learning.. Overview on Fields of AI:. Computer Vision.. Natural Language Processing (NLP).. Recommendation Systems.. Robotics.. Project: Creation of Chatbot using traditional programming (Python revision).

Understanding AI· Understanding how AI works.· Overview of Machine Learning and Deep Learning.· Workflow of AI Projects.· Differentiating arguments vs parameters.· Project: Implementing functions using python programming (Python revision).

Introduction to Data Science· Introduction to Data Science.· Types of Data.· Overview of DataFrame.· Project: Handling DataFrame using python programming by learning various tasks including:. Importing Dataset. Data Exploration. Data Visualization. Data Cleaning

Machine Learning· Overview on Machine Learning Algorithms with examples.· Types of Machine Learning:. Supervised. Unsupervised. Reinforcement· Types of Supervised Learning:

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