About this course

What you'll learn

Machine learning Introduction

Artificial Intelligence(AI)

What Are the Skills Required to Become a Machine Learning Expert?

Python/C++/R/Java

Probability and Statistics

Data Modeling and Evaluation

Applying Machine Learning Algorithms and Libraries

What Is Data Science?

Data Science versus Machine Learning

Machine Learning versus Deep Learning

Machine Learning Applications Day-to-Day Life

Use cases of machine learning in retail

Machine Learning in Finance - Current Applications

Machine Intelligence in the Travel & Transportation Industry

Types of machine learning

What is supervised learning

What is sklearn?

Algorithms inbuilt in sklearn

How to import algorithms from sklearn

How to train test and split the data based on algorithms from sklearn

What is regression?

What is classification?

Supervised learning work flow

What is unsupervised learning?

What is clustering?

What is Reinforcement Learning?

Types of supervised and unsupervised learning algorithms

What is Linear Regression?

What is Multiple Linear Regression?

What is Logistic Regression?

What is KNN (K-Nearest Neighbour) Classifier

Whatis a Naive bayesAlgorithm?

What is Decision Tree Algorithm?

Random forest Algorithm

Unsupervised learning

Types of Clustering

K-means clustering

Introduction to Deep Learning

Artificial Neural Network(ANN)(Concept and maths)

Introduction to python

Features in Python

Keywords in python

Syntax

Data Types

Operators

Conditional Statements

Loops

While statements

Control Statements

String Manipulation

Data Structures

Functions

Function Arguments

Anonymous Functions

Global and Local Variables

Regular Expression

Importing Modules

Numpy

Pandas

Matplotlib

Seaborn

Reading and saving files and amending using Pandas

To Students or professionals who want to get good amount of idea about ML and the concepts and maths Behind Algorithms with Hands on One Project in ML.

The audience gets ample knowledge of ML concepts and mathematics and AI concept with maths behind and also hands on with one project with python language. This course would help them to implement machine learning projects.