Machine Learning Tutorial

Hands-on Machine Learning

3.95 (56 reviews)
Udemy
platform
English
language
Data Science
category
instructor
12,878
students
18 hours
content
Apr 2022
last update
$19.99
regular price

What you will learn

Applications of Machine Learning to various data, Unsupervised Learning, Supervised Learning

Description

The course covers Machine Learning in exhaustive way. The presentations and hands-on practical are made such that it's made easy. The knowledge gained through this tutorial series can be applied to various real world scenarios.

UnSupervised learning does not require to supervise the model. Instead, it allows the model to work on its own to discover patterns and information that was previously undetected. It mainly deals with the unlabeled data. The machine is forced to build a compact internal representation of its world and then generate imaginative content.

Supervised learning deals with providing input data as well as correct output data to the machine learning model. The goal of a supervised learning algorithm is to find a mapping function to map the input  with the output. It infers a function from labeled training data consisting of a set of training examples.

UnSupervised Learning and Supervised Learning are dealt in-detail with lots of bonus topics.

The course contents are given below:

  • Introduction to Machine Learning

  • Introductions to Deep Learning

  • Installations

  • Unsupervised Learning

  • Clustering, Association

  • Agglomerative, Hands-on

  • (PCA: Principal Component Analysis)

  • DBSCAN, Hands-on

  • Mean Shift, Hands-on

  • K Means, Hands-on

  • Association Rules, Hands-on

  • Supervised Learning

  • Regression, Classification

  • Train Test Split, Hands-on

  • k Nearest Neighbors, Hands-on

  • kNN Algo Implementation

  • Support Vector Machine (SVM), Hands-on

  • Support Vector Regression (SVR), Hands-on

  • SVM (non linear svm params), Hands-on

  • SVM kernel trick, Hands-on

  • SVM mathematics

  • Linear Regression, Hands-on

  • Gradient Descent overview

  • One Hot Encoding (Dummy vars)

  • One Hot Encoding with Linear Regr, Hands-on

  • Naive Bayes Overview

  • Bayes' Concept , Hands-on

  • Naive Bayes' Classifier, Hands-on

  • Logistic Regression Overview

  • Binary Classification Logistic Regression

  • Multiclass Classification Logistic Regression

  • Decision Tree

  • ID3 Algorithm - Classifier

  • ID3 Algorithm - Regression

  • Info about Datasets

Content

Introduction

Machine Learning Course Contents
Machine Learning Introduction
Deep Learning Introduction
Prerequisite-Installations

UnSupervised Machine Learning

Unsupervised Machine Learning - Overview
Hierarchical Clustering : Agglomerative Clustering
Agglomerative Clustering (Demo1, Practical)
Agglomerative Clustering (Demo2, Practical)
DBSCAN: Density based method
DBSCAN- How to select eps (with Practical)
DBSCAN- Algorithm (with Practical)
Mean Shift Algorithm
Mean Shift Algorithm with Practical (1)
Mean Shift Algorithm with Practical (2)
K Means Algorithm
K Means Algorithm with Practical (1)
K Means Algorithm with Practical (2)
Association Rules
Association Rules (with Practical)

Supervised Machine Learning

Supervised Machine Learning - Overview
Generating Training and Test Data (Train Test Split)
K Nearest Neighbors (kNN) Algorithm
kNN Algorithm with Practical
kNN : Nearest Neighbors Implementation with Practical
Support Vector Machine (SVM)
SVM - Practical (linear)
SVM - Support Vector Regression (SVR) with Practical
SVM - Mathematics (Hyperplane)
Non Linear SVM parameters (with Practical)
SVM kernel trick for not linearly separable data (with Practical)
Linear Regression
Linear Regression (with Practical)
Gradient Descent Overview
One Hot Encoding (Dummy Variables)
One Hot Encoding (with Practical)
Information about DataSets

Screenshots

Machine Learning Tutorial - Screenshot_01Machine Learning Tutorial - Screenshot_02Machine Learning Tutorial - Screenshot_03Machine Learning Tutorial - Screenshot_04

Reviews

Alokkumar
July 20, 2021
Excellent Teaching. This course is well designed with concepts that meets the industry standards. Awesome Course for Aspirants Machine Learning Beginners to develop their ML skills from basics to advanced.
Harshal
May 6, 2021
Awesome course , get to learn more about supervised and unsupervised maching learning various algorithm with practicle session.
Arshad
November 22, 2020
Very informative and detailed Course other things Mentor teaching method easy understandable. Thanks ?

Coupons

DateDiscountStatus
11/22/2020100% OFF
expired
7/10/2021100% OFF
expired

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3586710
udemy ID
10/22/2020
course created date
11/22/2020
course indexed date
sfdh05049
course submited by