Machine Learning with Python
This Machine Learning with Python course dives into the basics of Machine Learning using Python, an approachable and well-known programming language. You'll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each.
Machine learning is the kind of programming that gives computers the capability to automatically learn from data without being explicitly programmed. This means in other words that these programs change their behavior by learning from data. It is a type of Artificial Intelligence (AI), that provides computers with the ability to learn without being explicitly programmed. In order to follow along with the series, we suggest the participants possess at least a basic understanding of Python. You may follow the Core Python course, offered by us.
Various aspects of Machine Learning, based on Python, covered in this course.
- Learn Machine Learning basics using Python programming language.
- Get hands-on experience by implementing various Machine Learning algorithms.
- How to classify various types of Machine Learning - Supervised and Unsupervised?
- How does Machine Learning affect society in different ways?
Key Benefits
- Training on specific core areas of the selected topic.
- Real-time implementations through practical sessions.
- Well-equipped practical classes where a student can comfortably work on their projects.
- Experienced & dedicated training professionals.
- Understand how to solve Classification and Regression problems in Machine Learning.
- You can transform your theoretical knowledge into practical skills.
- Explore many algorithms and models.
- Improve and enhance your machine learning model’s accuracy through feature engineering.
- Gain essential skills required to penetrate the Industry.
All Courses Idea
Introduction to Python
- Introduction to Python
- NumPy Basics
- Pandas Basics
- Matplotlib basics
Introduction to Machine Learning
- Applications of Machine Learning
- Supervised vs Unsupervised Learning
- Python libraries suitable for Machine Learning
- Data Preprocessing
- Creating validation rules
Regression
- Linear Regression
- Non-linear Regression
- Model evaluation methods
Classification
- K-Nearest Neighbors
- Decision Trees
- Logistic Regression
- Support Vector Machines
- Model Evaluation
Tree
- Introduction to Decision Tree
- Training and Visualizing a Decision Tree
- Visualizing Boundary
- Tree Regression, Regularization and Over Fitting
- End to End Modeling
Unsupervised Learning
- K-Means Clustering
- Hierarchical Clustering
- Density-Based Clustering
Recommender Systems
- Content-based recommender systems
- Collaborative Filtering
Knowledge of Core Python is essentially required.
Machine Learning (ML) with Python is all about teaching computers to learn from data, without being programmed for every single task. Python makes it easy and powerful thanks to its libraries like scikit-learn, TensorFlow, and Pandas.
Basic Python knowledge helps, but don’t worry—AITA Kolkata also provides Core and Advanced Python training if you’re new to coding. They’ll make sure you are ready to dive into Machine Learning!
You’ll learn: Python basics for ML Data cleaning and preprocessing Supervised and unsupervised learning algorithms Regression, classification, clustering Real-world projects (like loan prediction, spam detection) Introduction to deep learning models
At AITA Kolkata, the course typically runs for 8–12 weeks, depending on whether you choose regular or weekend batches. It’s designed to balance your learning with practical sessions.
Project-based! AITA focuses heavily on hands-on projects, so you’ll build ML models and solve problems like a real data scientist.
A basic laptop with at least 8GB of RAM works fine. AITA Kolkata provides lab access if you need better hardware during your training sessions.
Yes! You’ll receive an official Certificate of Completion from AITA Kolkata, which looks great on your LinkedIn, resume, or portfolio when applying for jobs.
You can apply for roles like Machine Learning Engineer, Data Scientist, AI Developer, or Data Analyst. AITA Kolkata also offers career counseling and job assistance to guide you after training.
Because AITA Kolkata gives you: Experienced and friendly trainers Practical, project-driven learning Small batch sizes for personal attention Weekend/weekday flexibility Career support after the course Affordable fees with quality education
Yes, this course is highly sought-after in Kolkata and across India, offering excellent career prospects.
After completing this course from AITA Kolkata, you can explore various job roles in reputed IT companies, MNCs, and startups.
Yes, AITA offers placement assistance to help students kickstart their careers.
Absolutely! This course is available online, making it accessible to students across India and globally.
Adroit Academy offers industry-aligned curriculum, experienced trainers, and strong placement support, making it a preferred choice for this course in India.
Yes! We simplify complex topics like statistics and algorithms using visuals and practical examples. You’ll understand concepts step-by-step—even if you didn’t love math in school.
Very! AITA has trained many career-switchers—from BPO employees to commerce grads. With Python basics and our guided support, you’ll build real ML skills with confidence.
Yes. You’ll not only learn ML concepts but also complete multiple projects and get interview prep, resume help, and mock interviews to become truly job-ready.
Absolutely! You’ll gain the tools to create your ML apps—like chatbots, recommendation engines, or predictive dashboards—and we’ll guide you on how to deploy or showcase them.
