- Python Programming Introduction to Python Python Data Types
- List, Sets, Tuples, Dictionary and Looping Programming Python Oops and Database, Excel using Python
- Data Analysis and Visualization using
- NumPy
- Pandas
- MatPlotLib
- Plotly
- Cufflinks
R Programming
- Basics of R
- Conditional and loops
- R packages/libraries
- Data mining GUI in R
- Data structures in R
- Exceptions/debugging in R
Stats & probability
- Descriptive statistics, random variables, and probability distribution functions
- Data distributions like uniform, binomial, exponential, Poisson, etc
- Probability concepts, set theory, and hypothesis testing
- Central limit theorem, t-test, chi-square, z-test
- Central limit theorem
- Anova
Machine Learning Models in Python and R
- The linear regression model in R
- Multiple linear regressions model
- Representation of regression results
- Non-linear regression models
- Tree-based regression models
- Decision tree-based models
- Rule-based systems
Machine Learning Mining Algorithms Using R
- Association analysis
- Market-based analysis/rules
- Apriori algorithm
- Ensemble models – random forest model, boosting model
- Segmentation analysis- types of segmentation, k-means clustering, Bayesian clustering.
- Feature selection/ dimension reduction, factor or component analysis.
- Axes
- Covariance
NLP (Natural Language Processing)
- Introduction to NLP
- Tokenization
- Chunks
- U – Chunks and P – Chunks
- Bag of Words
- U – Bag of Words and P – Bag of Words
- How to use NLP with Machine Learning models.
- How to use NLP with Deep Learning models.
- Category Predictor
- U – Category Predictor and P – Category Predictor
- Gender Identifier
- U – Gender Identifier and P – Gender Identifier
- Sentiment Analyzer
- U – Sentiment Analyzer and P – Sentiment Analyzer
- Topic Modeling
- U – Topic Modeling and P – Topic Modeling
- Introduction to Chatbots
- Script-based chatbots
- AI-based chatbots
- Integrations with api.ai
- Integration of Facebook Messenger with api.ai
Deep Learning Models n Python and R
- Artificial Neural networks Intuition(ANN)
- Convolutional Neural Networks(CNN)
- Recurrent Neural Networks(RNN)
- Self Organizing Maps(SOM)
- Deep Neural Networks
- Note: All above sections will be implemented with TensorFlow and Keras, Programming knowledge of TensorFlow and Keras will be given during Model buildings
Artificial Intelligence
- Why Ai?
- Introduction of Ai
- Reinforcement Learning
- Q-Learning Intuition
- Deep Convolutional Q-Learning Intuition
- A3C
- Building an AI
- Artificial Neural Networks
- Open Cv
Time Series Forecasting in R and Model Deployment
- Basics of time series
- Components of time series
- Time series forecasting
- Deploying predictive models
- Using SQL server
- Using external tools
- Using big data tools
- Integrating R with Hadoop/spark
Data Wrangling Using SQL and Excel
- SQL queries
- Integrating with R
- Deployment and execution
- Data modeling and formatting using excel
- Excel formulas to perform analytics
- Macros for job automation
Data Analysis and Visualization Using Tableau
- Introduction to tableau and its layout
- Connecting tableau to files and databases
- Data filters in tableau
- Calculation and parameters
- Tableau graphs and maps
- Creating tableau dashboard
- Data blending
Creating superimposed graphs
- Integrating Tableau with R
Projects and Case Study On R, Excel, SQL and Tableau
- Finally, round up your experience with critical work experience by engaging in 2 Real-Time projects and a case study.
- E-commerce case study.
- Healthcare Analytics.
- Telemetrics NPS Analytics.
- Startup growth Rate Analytics.
- Vehicle Traffic Report Analytics
- Inventory Management Analytics
Machine Learning List
Our Research Works
- Fake News Detection Project
- Bitcoin Price Predictor Project
- Uber Data Analysis Project
- Xbox Game Prediction Project
- Barbie with Brains Project
- Sentiment Analysis using Machine Learning
- Speech Emotion Recognition Project
- Catching Illegal Fishing Project
- Online Grocery Recommendation using Collaborative Filtering
- Movie Recommendation System using Machine Learning
Deep Learning
- Build your Own Neural Net from Scratch
- Image Classification with CIFAR-10 Dataset
- Human Face Detection
- Dog’s Breed Identification
- Traffic Sign Classification
- Automatic Music Generation
- Music Genre Classification
- Text Summarizer
- Gender Recognition Using Voice
- Chatbot Using Deep Learning
- Face Aging
Advanced Deep Learning
- Gender and Age Detection
- Driver Drowsiness Detection
- Human Activity Recognition with Video Classification
- Image Caption Generator
- Generate Human Faces with DCGAN
- Language Translator
Computer Vision Projects for Beginners
- Edge Detection
- Photo Sketching
- Detecting Contours
- Object Tracking with Camshift Algorithm
- Barcode and QR Code Scanner
- Image Segmentation
- Human Counting with OpenCV
- Mobile Document Scanner
- Colour Detection
Advanced Computer Vision Projects
- Face Recognition
- Hand Gesture Recognition
- Good Dog Capture
- Vehicle Counting and Classification
- Selfie Capture when the User Smiles
- Virtual Drums with OpenCV
- Image Reverse Search Engine
- LibriSpeech
- Free Spoken Digit Dataset (FSDD)
- TIMIT
Different NLP Scenarios
- Speech Recognition
- Neural Machine Translation
- Document Summarization
Artificial Intelligence Project Ideas for Beginners
- Handwritten Digits Recognition
- Lane Line Detection
- Spoiler Blocker Extension
- Spam Classifier
- Optimal Path
- Artificial Intelligence in Pneumonia Detection
- Game of Chess
- Fire Detection and Localization Using Surveillance Camera
- Next word predictor
- Chatbot using AIML
Advanced Artificial Intelligence Project Ideas
- Fake Product Review Monitoring System
- Learn to Drive with Reinforcement Learning
- Automatic Attendance System
- Price Negotiator Ecommerce Chatbot
- AI Bot to Play Snake Game
- Music Recommendation App
CHATBOTS
Hands-on Exercises in every concept