Introduction to AI | How to create basic AI application

How to install Python & Libraries & Basics of python Programming

Introduction to Computer Vision

Moving Object Detection and tracking

Face Detection and Tracking

Object Tracking based on color

Face Recognition

Face Emotion recognition

Introduction to Deep learning

Designing your First Neural Network

Object recognition from Pre-trained model

Image classification using CNN

Hand gesture recognition

Leaf disease detection

Character recognition using CNN

Label reading using Optical Character Recognition OCR

Smart Attendance system

Vehicle detection

License plate recognition

Drowsiness detection

Road sign recognition

Introduction to Machine learning

Evaluating and Deploying the various ML model

Fake news detection

AI snake game design

Introduction to NLP & it’s Terminology

Title Formation from the paragraph

Speech emotion analysis

Cloud based A.I

A.I using Hardware

Introduction to A.I & Machine Learning

Exploring Various Python Notebooks

Sale Prediction using LOGISTIC REGRESSION

Salary estimation using K-NEAREST NEIGHBOUR

Handwritten Digit Recognition using SUPPORT VECTOR MACHINE CLASSIFIER

Titanic Survival prediction using NAIVE BAYES

Plant leaf Iris detection using DECISION TREE

Digit recognition using RANDOM FOREST

Evaluating Classification model Performance Project

Breast Cancer Detection using various ML Algorithm – Evaluation

House price prediction using Linear Regression Single Variable

Exam mark prediction using LINEAR REGRESSION – MULTIPLE VALUES

Salary Prediction using POLYNOMIAL REGRESSION

Stock Price Prediction using SUPPORT VECTOR REGRESSION

Height Prediction using DECISION TREE REGRESSION

Car price prediction using RANDOM FOREST

Evaluating Regression model performance

Regression Model Selection for Engine Energy prediction.

Identifying the Pattern of the Customer spent using K-MEANS CLUSTERING

Customer Spending analysis using HIERARCHICAL CLUSTERING

Clustering Plant Iris Using Principal Component Analysis

Movie Recommendation System Using Singular Value Decomposition

Market Basket Analysis using APIRIORI

Market Basket Optimization/Analysis using ECLAT

Web Ad Optimization using Upper Confidence Bound – Reinforcement Learning

Sentimental Analysis using Natural Language Processing

Breast cancer Tumor prediction using XGBOOST

Introduction to Deep Learning & Diabetes detection using Simple Neural Network

Covid-19 Detection using CNN

A.I Snake Game using REINFORCEMENT LEARNING

Road Map to become a Data Scientist

Data Preparation – Power Query & Tables

Data analytics- Formula & Pivot Table

Story Telling – Charts & Dashboard

Automation – VBA Macros & Power Query

Descriptive Statistics

Probability – Permutations, Combinations

Population and Sampling

Probability Distributions

Hypothesis Testing & ANOVA

Connect Tableau to a Variety of Datasets

Data Visualization

Connect Power BI to a Variety of Datasets

Data Visualization in Powerbi

Introduction to Python

Basic Python Programming

Python Numpy functions

Pandas for Data analytics in Python

Matplotlib for data visualization

Seaborn for data visualization

Kaggle Dataset and Notebooks

SQL basics for Data analytics – Part-1

SQL basics for Data analytics – Part-2

MongoDB basics for Data analytics

Introduction to Machine Learning

Evaluating and Deploying M.L Algorithms

Introduction to Deep Learning

Covid-19 Detection using X-Ray Images with CNN

Tag Identification system using NLTK

Introduction to Python

Installing & Working with Python IDLE

Configuring Environmental Variables – Command Window

Installing Anaconda Navigator (Jupyter Notebook), Anaconda Navigator (Spyder Notebook), Google Colab, Pycharm

Working with Libraries

Simple Arithmetic

Introduction to Strings Indexing and Slicing with Strings

String Properties and Methods Print Formatting with Strings

Lists, Dictionaries, Tuples, Sets, Booleans

Python Objects and Data Structures

If Elif and Else , For Loops, While Loops, Functions

Tuple Unpacking

args and *kwargs

Lambda Expressions, Map, and Filter Functions

Attributes & Class Keyword

Class Object Attributes and Methods

name and “main”

Errors and Exceptions Handling

Decorators

Generators

Collections Module

Opening and Reading Files and Folders

Datetime Module, Math and Random Modules

Debugger, Regular Expressions

Zipping and Unzipping files with Python

Setting Up Web Scraping Libraries

Grabbing an Image

Introduction to Images with Python

Working with CSV Files in Python

Introduction to Deep Learning

Basic Computer Vision

Neurons & Perceptron

Activation Function

Gradient Descent

Stochastic Gradient Descent

Backpropagation

Artificial Neural Network – Project 1

Optimization Algorithms – SGD, Momentum, NAG, Adagrad, Adadelta, RMSprop, Adam

Batch Normalization

Hyperparameter tuning

Interpretability

Deep Neural Network – Project 2

Convolutional Neural Network & its Layers

CNN Architecture

Different frameworks on Deep Learning (Tensorflow, Keras, PyTorch & Caffe)

Object Recognition using Pre Trained Model – Caffe – Project 3

Image classification using Convolutional Neural Network from Scratch – Tensorflow & Keras – Project 4

Custom Image Classification using Transfer Learning – Project 5

YOLO Object recognition – Project 6

Image Segmentation – Project 7

Project using MxNet – Project 8

Project using PyTorch – Project 9

Social Distancing detector – Project 10

Face Mask detector – Project 11

Introduction to RNN and LSTM

Project using RNN – Project 12

Introduction CUDA Toolkit and cuDNN for deep learning

Getting started with the Intel Movidius Neural Compute Stick – Project 13

Custom Object classification using Nvidia Jetson – Project 15