Research & Academic projects
Research & Academic projects
DataTeach.ai offers an advanced platform for students, researchers, and professionals to engage in high-impact research and academic projects within the fields of data science, artificial intelligence (AI), machine learning (ML), and other emerging technologies. These projects provide participants with valuable hands-on experience, allowing them to apply their theoretical knowledge to solve complex, real-world problems.
Through collaboration with industry experts and academic institutions, DataTeach.ai creates a rich environment for conducting innovative research. Participants have the opportunity to explore a wide range of topics such as natural language processing (NLP), computer vision, predictive analytics, big data solutions, and deep learning. This exposure helps students and researchers stay on the cutting edge of technological advancements.
Course Features
Anyone
Can learn (IT/Non IT)
4.8+
Course Rating
1000+
Learners
Lifetime
Course Access
1 time
Payment
160Hrs+
Content Duration
Simple English
Language
Live Training
Offline/Online
Course Curriculam
- Introduction
- Data Types & Data Structures
- Control Flow & Conditional Statements
- Functions and Modules
- Class and Objects
- File Handling
- Numpy - Numerical Python
- Data Manipulation with Pandas
- Data Visualization Using Matplotlib And Seaborn
- Exploratory Data Analysis (EDA)
- UNSTRUCTURED DATA PROCESSING
- Project (web - scraping)
- Vectors
- Matrices
- Linear Equation
- Vector Norms
- Calculus
- Central Tendency
- Sample V/S Population
- Probability
- Types of Distribution
- Central Limit Theorm
- Hypothesis Testing
- Types of Test
- Anova Test
- Skewness & Kurtosis
- Introduction to Basic Database Concepts
- Introduction to SQL
- Writing Basic SQL Statement
- Restricting and Sorting Data
- Advance DDL Commands
- Working on DML statements
- Use of built-in function in SQL
- Working on multiple tables and Retrieve records from multiple tables
- Working on subqueries
- Python with MYSQL
- Intro to Power BI
- Basic Charts in Power BI
- Maps in Power BI
- Tabular Data in Power BI
- Cards in Power BI
- Filters in Power BI
- Slicers in Power BI
- Advance Chart in Power BI
- Inserting Object in Power BI
- BookMark Action in Power BI
- Creating Report in Power BI
- Publishing Report in Power BI
- Service Dashboard in Power BI
- Refreshing Data in Power BI and Scheduling
- Using Text Functions, Date Functions, Number Functions in Power Query
- Appending and Merging Sheet
- Columns from example in power query, Conditional ColumnsN
- Data Modelling in Power BI
- Connecting to MySql
- Introduction to Machine learning
- Types of machine learning
- Classification Algorithms
- Regression Algorithms
- Clustering Algorithms
- Model Building
- Model Evaluation
- Model Deployment
- Introduction to Deep Learning
- Neural Network Architecture and Activation Functions
- Forward and Backward Propagation
- Optimizers
- Keras Hands-on - Regression and Classification
- Intro to Images and Image Preprocessing with OpenCV
- Image Preprocessing with OpenCV
- Intro to Convolutional Neural Network
- Image Classification Case Study
- CNN Architecture
- Transfer Learning
- Case Study with Transfer Learning
- Object Detection
- YOLO - Case Study
- Introduction to text and Text Preprocessing with nltk and spacy
- Vectorization Techniques
- Project - Text Classification
- RNNs
- Project - Sequence Tagging
- LSTMs
- Auto Encoders
- Project - Auto Encoders
- Transformer and Attention
- BERT
- Intro To Gen AI
- Intro To LLM
- Prompt Engineering and Working with LLM
- Open AI
Sample Certificate
