AI Sciences

AI Sciences Introduction

Instructor Introduction

Overview of Recommender Systems

Fundamentals of Recommender Systems

Project Overview

Recommender Systems Overview

Introduction to Recommender Systems

Recommender Systems Process and Goals

Generations of Recommender Systems

Nexus of AI and Reccommender Systems

Applications and Real World Challenges

Quiz

Quiz Solution

Overview

Taxanomy of Recommender Systems

ICM

User Rating Matrix

Quality of Recommender System

Online Evaluation Techniques

Offline Evaluation Techniques

Data Partitioning

Important Parameters

Error Metric Computation

Content Based Filtering

Collaborative Filtering and User Based Collaborative Filtering

Item Model and Memory Based Collaborative Filtering

Quiz

Quiz Solution

Overview

Benifits of Machine Learning

Guidelines for ML

Design Approaches for ML

Content Based Filtering

Data Prepration for Content Based Filtering

Data Manipulation for Content Based Filtering

Exploring Genres in Content Based Filtering

tf-idf Matrix

Recommendation Engine

Making Recommendations

Item Based Collaborative Filtering

Item Based Filtering Data Prepration

Age Distribution for Users

Collaborative Filtering using KNN

Geographic Filtering

KNN Implementation

Making Recommendations with Collaborative Filtering

User Based Collaborative Filtering

Quiz

Quiz Solution

Project Introduction

Dataset Usage

Missing Values

Exploring Genres

Occurence Count

tf-idf Implementation

Similarity Index

Fuzzywuzzy Implementaion

Find Closest Title

Making Recommendations

Project Introduction

Dataset Discussion

Rating Plot

Count

Logrithm of Count

Active Users and Popular Movies

Create Collaborative Filter

KNN Implementation

Making Recommendations