Supervised Learning Projects Tutorial - Machine Learning Tutorial

Overview

Dive into a comprehensive tutorial on supervised learning projects in machine learning. Explore practical implementations across diverse applications, including Covid-19 outbreak prediction, Pokemon trainer analysis using R, credit card fraud detection, and credit card defaulter prediction. Learn to gather, visualize, and analyze data, handle null values, and create insightful visualizations like histograms and line plots. Gain hands-on experience with classification and regression techniques, understand machine learning subcategories, and master the process of extracting valuable insights from datasets. Apply supervised learning algorithms to real-world scenarios, enhancing your skills in data-driven decision-making and predictive modeling.

Syllabus

Introduction
Agenda
Project Introduction
Understanding Machine Learning
Understanding Test Data
Machine Learning SubCategories
supervised learning
classification
regression
briefing
Data Gathering
Data Visualization
Residual Sum of squares
Data Analysis
Check Null Values
Extract India Records
First 5 India Records
Last 5 India Records
Line Plot
Load Data
Analyze Data
Types of Pokemon
Generation of Pokemon
Legendary Pokemon
HP of Pokemon
Catch Grass Type Pokemon
Minimum and Maximum Speed
Visualization
Histogram
Fire Type Pokemon