Artificial Intelligence With Python

Create new Artificial Intelligence applications using Python.

What you'll learn

Apply AI in business applications

Understand the concept of Explainable AI

Build, train, deploy AI models in business

Learn about Artificial Intelligence and related technologies with practical examples and information.

Requirements

Computer and internet connection.

No programming experience needed. We will show everything you need to know

Description

Are you prepared for the AI revolution? Artificial Intelligence has become the centrepiece of strategic decision making for organizations. It is disrupting the way industries function - from sales and marketing to finance and HR, companies are betting on AI to give them a competitive edge. AI with Python is a thoughtfully created course designed specifically for business people and does not require any programming. Through this course you will learn about the current state of AI, how it's disrupting businesses globally and in diverse fields, how it might impact your current role and what you can do about it. This course also dives into the various building blocks of AI and why it's necessary for you to have a high-level overview of these topics in today's data-driven world. We will also provide you with multiple practical case studies towards the end of the course that will test your understanding and add context to all that you've studied. By the time you finish the course, you will be ready to apply your newly-acquired knowledge in your current organization. You will be able to make informed strategic decisions for yourself and your business.Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. These machines are able to learn with experience and perform human-like tasks. As technologies such as AI continue to grow, they will have a great impact on our quality of life. Artificial intelligence (AI) is one of the top tech fields to be in right now! Financial institutions, legal institutions, media companies, and insurance companies are all figuring out ways to use artificial intelligence (ai) to their advantage. From fraud detection to writing news stories with natural language processing(NLP) and reviewing law briefs, AI’s reach is extensive.

Overview

Section 1: Artificial Intelligence With Python - Beginner Level

Lecture 1 Introduction to Course

Lecture 2 Download Anaconda Navigator

Lecture 3 Set up and Installation

Lecture 4 Numpy in Jupyter Notebook

Lecture 5 Array Function

Lecture 6 Numpy indexing and Selection

Lecture 7 Filter Function

Lecture 8 Python Libraries for Visualization

Lecture 9 Python Libraries for Visualization Continued

Lecture 10 Matpotlib Library and its Users

Lecture 11 Matpotlib Library and its Users Continued

Lecture 12 Plotting of Data

Lecture 13 Seaborn Package for Visualization

Lecture 14 Seaborn Package for Visualization Continued

Lecture 15 Scatter Plots

Lecture 16 Scatter Plots Continued

Lecture 17 Seaborn Libraries and its Implication

Section 2: Artificial Intelligence With Python - Intermediate Level

Lecture 18 Introduction to Course

Lecture 19 Python for AI

Lecture 20 What is Machin Learning

Lecture 21 Data Processing Effort

Lecture 22 What is Meaning of Bias

Lecture 23 Bias vs Variance Tradeoff

Lecture 24 Model Evolution

Lecture 25 Scikit Learn

Lecture 26 Loading the Data

Lecture 27 Checking the Visualization

Lecture 28 Predict

Lecture 29 Data Values

Lecture 30 Applying Dimensionality Reduction

Lecture 31 Model Selection

Lecture 32 Neighbors Classifier

Lecture 33 Accuracy of Classifier

Lecture 34 ML Classification Hindson

Lecture 35 Statistical Analysis of the Dataset

Lecture 36 Import Label Encoder

Lecture 37 Accuracy Score

Lecture 38 Multilayer Perceptron

Lecture 39 Multilayer Perceptron Continued

Lecture 40 Number of Clusters

Lecture 41 Multiple Method

Lecture 42 Keras-Pytorch and Tensorflow

Lecture 43 Working on Jupyter Notebook

Lecture 44 Binary Classification

Lecture 45 Use Markdown Headings

Lecture 46 Pyplot

Anyone who wants to learn Python, R, UIPath, Power BI, and mobile app programming,Beginner Python developers who are interested in Artificial Intelligence and Data Science