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Real World Applications Of Ai And Ml With Python - AD-TEAM - 12-07-2024
![[Image: 78b1c0f8661ea8edfc4a309f2cbbcc69.jpg]](https://i124.fastpic.org/big/2024/1207/69/78b1c0f8661ea8edfc4a309f2cbbcc69.jpg)
Real World Applications Of Ai And Ml With Python
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.39 GB | Duration: 3h 0m
Learn the different ways you can actually use python and its AI capabilities to solve real-world problems.
What you'll learn
E-Commerce AI Implementations
AI in Retail (Supply Chain & Inventory)
Banking and AI
Exploratory Data Analysis (E.D.A)
Pandas, Numpy, Seaborn, Matplotlib Libraries
Requirements
No programming experience required.
Description
Are you tired of traditional machine learning and AI tutorials that only scratch the surface? Most courses focus on algorithms and basic concepts, but they often fall short of demonstrating how AI can be applied in the real world. This course bridges that gap by showing you how AI is used in industries like E-commerce, Banking, and Retail to solve practical business problems and increase efficiency.In this course, you'll go beyond theory and dive into Python-based projects that simulate real-world AI applications. You will learn how businesses use AI to make data-driven decisions, optimize customer experiences, and improve profitability. By the end of this course, you'll have a clear understanding of how AI is implemented in industries and be equipped with hands-on skills that are highly valued in the market.Whether you're a freelancer looking to expand your skill set, or someone looking to break into the field of AI, this course will give you a solid foundation in applying AI to solve practical problems. You don't need to be an expert in coding or mathematics to benefit-this course is designed to be accessible and impactful for all learners.Join me in this journey to explore real-world AI applications and gain the knowledge and confidence to implement AI solutions in your career or business.
Overview
Section 1: Setup and Instructions
Lecture 1 Setup and Instructions
Section 2: E-Commerce AI implementations
Lecture 2 Chatbots in E-Commerce
Lecture 3 Dynamic Price Optimization
Lecture 4 Product Recommendation System
Section 3: Inventory and Supply Chain
Lecture 5 Inventory Management with AI
Lecture 6 Supply Chain Optimization with AI - Part 1
Lecture 7 Lecture 3: Supply Chain Optimization with AI - Part 2
Section 4: Advanced E-Commerce
Lecture 8 Voice Commerce
Lecture 9 Sentiment Analysis
Lecture 10 Image Based Search Engine on Ecom Website
Section 5: Banks and AI Utility
Lecture 11 Credit Card Fraud Detection
Learners who want to make themselves useful to businesses with AI and land deals.
![[Image: cmr8OsgL_o.jpg]](https://images2.imgbox.com/74/c5/cmr8OsgL_o.jpg)