Machine Learning

Offered byLearntube

Machine Learning
at
Learntube
Overview

Duration	8 hours
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Machine Learning

Table of content

Overview
Highlights
Course Details
Curriculum

Machine Learning
at
Learntube
Highlights

Earn a certificate after completion of course

Machine Learning
at
Learntube
Course details

More about this course

Our comprehensive course, Machine Learning Mastery, is designed to provide you with a strong foundation and practical skills in this rapidly growing field

By enrolling in this course, you will gain a deep understanding of various machine learning techniques, from supervised and unsupervised learning to parameter estimation and feature selection

With the knowledge and skills gained from this course, you will be well-equipped to pursue a rewarding career in machine learning

Whether you aspire to work in data science, artificial intelligence, or research, this course will provide a solid foundation to kickstart your career journey

Machine Learning
at
Learntube
Curriculum

Introduction To Machine Learning

What is Machine Learning

Why You Should Learn Machine Learning

Roadmap To Become ML Expert in 2024

Is Machine Learning Career Worth It

How To Use ChatGPT for Machine Learning

Machine Learning Core Elementals

Difference between Supervised Learning and Statsitical Modelling

Difference between Supervised Learning and Unsupervised Learning

Data Normalization

Datasets for Machine Learning
Different Paradigms of Machine Learning
Hypothesis Evaluation

Supervised Learning Techniques

Linear Regression

Multi linear Regression
Logistic Regression
K-Nearest Neighbours
Decision Tree
Random Forest
Boosting
SVMs (primal and dual forms)
Naive Bayes

Unsupervised Learning Techniques

K-Means Clustering
Hierarchical Clustering
Gaussian Mixture Modeling
Apriori Algorithm
Singular Value Decomposition (SVD)

Parameter Estimation

Bayesian Parameter Estimation
Bias-Variance Tradeoff
Maximum Likelihood
VC-Dimensions and Distribution

Feature Selection and Dimensionality Reduction

Independent Component Analysis
Linear Discriminant Analysis
Principal Component Analysis
Principal Component Analysis Implementation python
Step Backward Feature Selection
Step Forward Feature Selection