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- Embedded System Design + Internet of Things + PCB Design

- 3 Course in English
- Lifetime Access to Videos, PPT, PDF, Source Codes etc,.
- Lifetime access for Private Community
- 3 Internship Certificate
- 500+ Interview Questions(PDF)

- Live session on Every Weekend
- Complete Roadmap to become Embedded System
- 5+ Architecture - 10+ Projects
- Watch anytime - anywhere
- more details below...

- Detailed Agenda of 3 courses -

- Overview of this course | Introduction to AI | How to create basic AI application (Chat bot using DialogFlow)
- How to install Python & Libraries | Basics of python Programming for AI

Computer Vision

- Introduction to Computer Vision| How to install computer vision libraries
- Moving Object Detection and tracking using OpenCV
- Face Detection and Tracking using OpenCV
- Object Tracking based on color using OpenCV
- Face Recognition using OpenCV
- Face Emotion recognition using 68-Landmark Predictor OpenCV

Deep Learning

- Introduction to Deep learning | How to install DL libraries
- Designing your First Neural Network
- Object recognition from Pre-trained model
- Image classification using Convolutional Neural Network
- Hand gesture recognition using Deep Learning
- Leaf disease detection using Deep Learning
- Character recognition using Convolutional Neural Network
- Label reading using Optical Character recognition
- Smart Attendance system using Deep Learning
- Vehicle detection using Deep Learning
- License plate recognition using Deep Learning
- Drowsiness detection using Deep Learning
- Road sign recognition using Deep Learning

Machine Learning

- Introduction to Machine learning| How to install ML libraries
- Evaluating and Deploying the various ML model
- Fake news detection using ML
- AI snake game design using ML

Natural Language Processing

- Introduction to NLP & it’s Terminology | How to install NLP Libraries NLTK
- Title Formation from the paragraph design using NLP
- Speech emotion analysis using NLP

Deploying AI in Hardware

- Cloud-based AI, Object recognition using Amazon Web Service (AWS) & Imagga
- Deploying AI application in Raspberry Pi with Neural Compute stick & Nvidia Jetson Nano

- Overview A.I | Machine Learning
- Introduction to Python | How to write code in Google Colab, Jupyter Notebook, Pycharm & IDLE

Supervised Learning – Classification & Regression

- Advertisement Sale prediction from an existing customer using LOGISTIC REGRESSION
- Salary Estimation using K-NEAREST NEIGHBOR
- Character Recognition using the SUPPORT VECTOR MACHINE
- Titanic Survival Prediction using NAIVE BAYES
- Leaf Detection using DECISION TREE
- Handwritten digit recognition using RANDOM FOREST
- Evaluating Classification Model Performance using CONFUSION MATRIX, CAP CURVE ANALYSIS & ACCURACY PARADOX
- Classification Model Selection for Breast Cancer Classification
- House Price Prediction using LINEAR REGRESSION Single Variable
- Exam Mark Prediction using LINEAR REGRESSION Multiple Variable
- Predicting the Previous salary of the New Employee using POLYNOMIAL REGRESSION
- Stock price prediction using SUPPORT VECTOR REGRESSION
- Height Prediction from the Age using DECISION TREE REGRESSION
- Car price prediction using RANDOM FOREST
- Evaluating Regression model performance using R-SQUARED

Intuition & Adjusted R – Squared Intuition

- Regression Model Selection for Engine Energy Prediction

Unsupervised Learning – Clustering

- Identifying the Pattern of the Customer Spent using K-MEANS CLUSTERING
- Customer Spending analysis using HIERARCHICAL CLUSTERING
- Leaf types data visualization using PRINCIPLE COMPONENT ANALYSIS
- Finding Similar Movie based on ranking using SINGULAR VALUE DECOMPOSITION

Unsupervised Learning – Association

- Market Basket Analysis using APIRIORI
- Market Basket Optimization/Analysis using ECLAT

Reinforcement Learning

- Web Ads. Click through Rate optimization using UPPER BOUND CONFIDENCE

Natural Language Processing

- Sentimental Analysis using Natural Language Processing
- Breast cancer Tumor prediction using XGBOOST

Deep Learning

- Bank Customer classification using ANN
- Pima-Indians Diabetes Classification using CONVOLUTIONAL NEURAL NETWORK
- A.I Snake Game using REINFORCEMENT LEARNING

- Introduction to Artificial Intelligence, Data Analytics & Road Map to Become a Data Scientist

Excel

- Data Preparation – Power Query & Tables
- Data analytics- Formula & Pivot Table
- Story Telling – Charts & Dashboard
- Automation – VBA Macros & Power Query

Statistics & Probability

- Descriptive Statistics – Mean, Mode, Median, Quartile, Range, InterQuartile Range, Standard Deviation
- Probability – Permutations, Combinations
- Population and Sampling
- Probability Distributions – Normal, Binomial and Poisson Distributions
- Hypothesis Testing & ANOVA – One Sample and Two Samples – z Test, t-Test, F Test and Chi-Square Test

BI Tools – Tableau

- Connect Tableau to a Variety of Datasets
- Analyze, Blend, Join, and Calculate Data
- Visualize Data in the Form of Various Charts, Plots, and Maps

BI Tools – Power BI

- Connect Tableau to a Variety of Datasets
- Visualize Data in the Form of Various Charts, Plots, and Maps and Calculate Data

Python

- Introduction to Python & Installing Python and its Libraries
- Basic Python Programming for Data Analytics

Numpy & Pandas

- Python Numpy functions
- Pandas for Data Analytics in Python

Data Visualization

- Matplotlib for data visualization
- Seaborn for data visualization

Kaggle Exploratory

- Kaggle Dataset and Notebooks

Database – SQL

- SQL Basics for Data Analytics – Part-1
- SQL Basics for Data Analytics – Part-2

Database – MongoDB

- MongoDB Basics for Data Analytics

Machine Learning

- Introduction to Machine Learning & its Libraries
- Evaluating and Deploying Machine Learning Classification algorithm for the classification of the State of the Electric power system

Deep Learning

- Introduction to Deep Learning & its Libraries
- Covid-19 Detection Using X-Ray Images with CNN

Natural Language Processing

- Tag Identification system using NLTK

- Internship Certificate-

- I can't attend live at proper timing, will i able to get certificate ?
- Will i get Recordings for every session ?
- Can i get Internship certificate ?
- Will i able to download all attachments like PPT,PDF,Source Code etc ?
- Will i able to get additional bonus session ?
- Can i able to get a Job with High Paying salary ?
- Will i get Live doubt clarity session ?

I don't know anything, Do we need pre-knowledge?

No need for any pre-knowledge on these courses, this courses are taught from the scratch including programming, Concepts & Algorithms

Is it completely self-paced? Or will I have any live classes?

You will be having ** LIVE Classes on every weekend + self-paced videos for 3 courses**

**Weekly Mastermind Zoom Live – To clear your doubts & Gives additional latest lectures/projects on both domains which are not present in course**

How can I ask my doubts?

You can ask your doubt in the Mastermind session or in our community

Where can I watch recorded video lectures?

You will be getting separate login access for the Pantech University portal **learn.pantechsolutions.net**

Once I made the payment what is the next procedure?

- Please wait until you get mail regarding your enrollment in courses (Maximum 12 Hours).
- Visit learn.pantechsolutions.net and start learning from self-paced video
- You will be notified with a community access link, to join our Private community! Which has all event schedules (Mastermind)

Validity of this Course

Its Lifetime validity for course with Lifetime validity for private community