Artificial Intelligence and Machine Learning course

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Overview
Course Content

Description

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Additionally, CodeBetter IT Institute specializes in training individuals in AI and machine learning, offering comprehensive insights into this field of study.

Course Content Overview:

- Python Programming

- Numpy, Pandas, Matplotlib, Seaborn, SQL Connectivity

- Database Management Systems, RDBMS, SQL, MongoDB

- HTML, CSS, Bootstrap, TailwindCSS, Template Customization

- Django App Development

- Advance Excel and Dashboards

- Power BI Visualization, Reporting and Dashboards

- AI Foundation and Machine Learning

- Deep Learning

- Major Project(AGILE SDLC, GitHub)

- GitHub and Project Management Tools

- Placement Support and Guidance

Python

Introduction, Variables, Data Types, Operators, type Conversion
Control structure - If else, switch, ternary operator, For loop, nested for loop, while loop, break, continue
Collection - List, Dictionary, Set
"functions, argument, return type, Arbitrary Arguments, *args, Keyword Arguments
"kwargs, Default value parameters, nested functions. Anonymous functions. Local vs global variables"
Introduction to OOP , Object , Class, Methods, initializer, self, static, List of object
Inheritance - single, multilevel, hierarchical , multiple, pass keyword
Runtime Polymorphism, Method overriding, super keyword, Abstraction, Abstract Class, ABC Module
Modules and Access specifiers, Exception Handling try, except, raise, else, finally, custom exception
Enumeration, Multithreading , File Handling, CSV read, write

Numpy , Pandas, Matplotlib, Seaborn

Introduction of Numpy, Data Types
NdArray and Types of NdArray
Array Attributes, Array Creation Patterns
Indexing and Slicing,
Iteration in Array
Broadcasting
String Functions
Math Functions
Statistical Functions
Sort, Search and Counting Functions
Matrix Functionality
Introduction to Pandas
Introduction of Series and methods
Introduction of Dataframe creation
Method of Dataframe
Reindexing, Indexing and Slicing of Data
GroupBy, Merging/Joining, Categorical Data
Introduction of matploatlib installation plot
Type of Plotting
Introduction of Seaborn and installation
Type of visualization
Database Connectivity – MySql Connector

Artificial Intelligence and Machine Learning

Introduction to Artificial Intelligence
Fundamentals of Machine Learning and Deep Learning
Machine Learning Lifecycle
Performance Metrics
Data Preprocessing
Feature Engineering
Supervised Learning-Classification
Unsupervised learning-Classification
Regression Analysis (Linear and Polynomial)
Logistic Regression
Naive Bayes classification
Decision Tree Algorithm
Random Forest Ensemble Algorithm
Support Vector Machine
Principal Component Analysis(PCA)
Unsupervised Learning with K-Means Clustering
Data Mining : Apyori Algorithem

Deep Learning

Introduction and Concept of Deep Learning
Deep Learning Platforms and Software Libraries
Neural Networks
Deep Neural Network
PyTorch and Deep Learning
TensorFlow and Deep Learning
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Introduction to Natural Language Processing
NLPs Techniques and Libraries
Speech Recognition Technique
Image Processing and classification Techniques
LLM Integration like ChatGPT

RDBMS with MYSQL

SQL and Statement Types
Create Database and Tables
Create and Alter Table with all constraints
Select , Insert , Update and Delete
OrderBy , GroupBy
Normalization , Primary and Foreign Key
Joins and Subquery

Major Project(AGILE SDLC, GitHub)

Placement Support and Guidance

Course Features

	Duration	6 - 8 Months
	Language	Hindi/English
	Certificate	Yes
	Expert trainers	Yes
	Flexible Timing	Yes
	Fee Installements	Yes

Our Reviews

Average Rating	4.9
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