__3 in 1 AI Internship Combo__

## Artificial Intelligence + Machine Learning + Data Analytics

### What you will learn

__Internship in Artificial Intelligence :__

###### Artificial Intelligence

- 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 a 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 Langage Processing**

- Introduction to NLP & its 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

__Internship in Machine Learning :__

- 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.**

**Uns**upervised 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**

**Uns**upervised 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**

__Internship in Data Analytics :__

- 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

#### What you will get

✅ Complete Video recordings of the course

✅ All attachment Download – PPT,

✅ Private Community Access

✅ E-Internship Certificate

✅ Lifetime course validity

#### Sample Internship Certificate

#### Frequently asked questions

- Once I have Done the Payment where should I access the course?

After the payment is done. Please signup to learn.pantechsolutions.net using the same mail id used for payment. - Where can I access the course?

You can access the courses in our learning portal learn.pantechsolutions.net - What is the validity of the course?

Each course’s validity varies from each plan you have chosen. - Is it only Self Paced Learning or I will get a Live session?

It is a Self-paced Learning. Apart from that you will be having live sessions on Mastermind - Where can I clear my doubts?

You can clear doubts in Weekly Mastermind Session. - Will you provide job opportunities?

We will provide all the skillset that is needed to get a job - Can I Take More than One Course at a Time?

Yes, you can each progress of the course will be noted respectively. - My Payment Did Not Go Through. What Do I Do?

Please Mail us to learn@warriorsway.in - When do I get my internship Certificate?

The internship Certificate will be generated automatically in the portal after completing the course for 100% . you can download from the portal for the respective course.

**For an Internship on Python**: Click here

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