AI (total 120 hour)
Introduction to AI and application (4 hours)(1 section):
Introduction to AI.
Introduction to Machine Learning.
Introduction to Computer Vision.
Introduction to NLP.
Setup environment
Python (26 hours) (8 section) :
Intro to python
Variables
Datatypes
Arithmetic operation
Boolean & logic
Strings
List
Tuples
Set
Dictionaries
If conditions
For loops
Built in function
Functions
Lambda expression
File handling
Map, filter and reduce
Python project(Hangman Game)
Python OOP
OOP project (battle royal)
EDA (Exploratory data analyst) (20 hours) (6 section):
Pandas
NumPy
Exploratory Data Analysis for Machine Learning
Seaborn
MATPLOTLIB
Project (Titanic Analysis, Analyzing Dataset)
Machine learning (30 hours) (8 sections):
Supervised learning
Linear regression
classification
decision tree and random forest
Projects(property price predication, flower classification)
Deep learning (40 Hours) (10 sections):
Neural network
CNN
NLP
Projects(vegetable and fruit recognition ,Chatbot)