AI & Data
Data Science Course
Learn to analyse data, extract insights and make data-driven decisions.
AI & Data course · Chennai
Machine Learning Course in Chennai
A comprehensive introduction to building intelligent systems with data. Learn Python and Pandas, then supervised learning (regression and classification), unsupervised learning (clustering, PCA), model evaluation and an introduction to deep learning.
- Duration
- 3 months
- Sessions
- 1 hour per session
- Certificate
- Yes, on completion
- Modules
- 8 modules
What you will learn
- Prepare and explore data with Pandas and visualisation
- Build regression and classification models
- Apply clustering and dimensionality reduction
- Evaluate and tune models with grid search
- Save models and understand bagging, boosting and deep learning basics
Who should join
- Graduates targeting ML engineer or data scientist roles
- Python developers moving into AI
- Professionals who want to apply ML in their domain
Prerequisites: None required; Python is covered. Comfort with basic maths helps.
Syllabus
Machine Learning Course syllabus
8 modules covering Core Python, Advanced Python, Pandas, Visualization and more.
01Core Python
- Introduction
- Control Statements
- Loops
- Strings
- Data Structures
- Functions
- Modules
- File Handling
- Exception Handling
02Advanced Python
- OOP
- Database
- Regular Expressions
- Multi-threading
- Networking
- GUI Programming
- NumPy
03Pandas
- Introduction
- Series
- Data Frame
- Basic Functionality
- Descriptive Statistics
- Reading CSV and JSON Files
- Handling Missing Data
04Visualization
- Introduction
- Plotting Data
- Matplotlib
- Pyplot
- Seaborn
- Types of Visualization
- Choosing the Right Chart
05Introduction to Machine Learning
- Applications of ML
- Types of ML
- Supervised vs Unsupervised ML
- Libraries Suitable for ML
- Real-time Projects
06Regression
- Linear Regression
- Non-linear Regression
- Multivariate
- Model Evaluation
07Classification
- Logistic Regression
- Decision Tree
- Random Forest
- K-Nearest Neighbor
- Support Vector Machines
- Naive Bayes
- Model Evaluation
08Unsupervised Learning and Other Topics
- K-Means Clustering
- Hierarchical Clustering
- Dimensionality Reduction
- Principal Component Analysis
- Model Evaluation
- Reinforcement Learning
- Grid Search
- How to Save Model
- Bagging vs Boosting
- Deep Learning
FAQ
Machine Learning Course — FAQ
Which algorithms are covered?
Linear and non-linear regression, logistic regression, decision trees, random forest, K-nearest neighbours, support vector machines, Naive Bayes, K-means and hierarchical clustering, and PCA.
Is machine learning a good career in India?
Yes. Demand for ML and AI skills is growing across IT services, product companies, finance, healthcare and e-commerce.
What are the prerequisites for the Machine Learning course?
None required; Python is covered. Comfort with basic maths helps.
How do I join the next batch?
Call +91 95004 29423 or send an enquiry via our contact form. We will share batch dates, timings and fees.
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