Machine Learning using Python Training in Gurgaon, Delhi

Machine Learning using Python

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

Duration : 6 months Classes : 36 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

Step into the world of intelligent systems with our immersive Machine Learning using Python training program - your gateway to mastering one of the most in-demand skills in tech today. This course is meticulously crafted for participants who want to build predictive models, uncover insights from data, and drive smarter decision-making. Through a hands-on, project-based approach, you'll learn to harness Python's powerful libraries like scikit-learn, pandas, NumPy, and matplotlib to implement both supervised and unsupervised learning algorithms. From data preprocessing and model evaluation to hyperparameter tuning and deployment strategies, every module is designed to build real-world expertise. By the end of the program, you'll be equipped to solve complex problems, optimize model performance, and confidently integrate machine learning into applications across industries. Whether you're aiming to boost your career, transition into AI, or innovate within your organization, this training will empower you to lead with data.

This course blends theory with hands-on practice to help you build intelligent systems that learn and adapt. Whether you're looking to break into AI or sharpen your ML toolkit, this program delivers the skills and confidence to thrive.

Target Audience:-
-Developers and engineers with basic Python knowledge
-Data analysts and scientists transitioning into machine learning
-Students and professionals preparing for AI-focused careers
-Tech enthusiasts eager to explore predictive modeling and automation
-Statisticians and Mathematicians

Program Outcomes:-
-Understand core ML concepts and algorithms
-Build, train, and evaluate models using Python libraries
-Select, Implement, and Fine-Tune a wide range of machine learning algorithms
-Optimize model performance and handle overfitting
-Deploy ML models and integrate them into applications
-Master the entire ML workflow

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

-You are familiar with advanced Python, SQL and basic Statistics

....

NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: ML Prerequisites and Data Handling
✔ Setup Environment
✔ Python Refresher
✔ Numerical Computing with NumPy
✔ Data Manipulation with Pandas
✔ Exploratory Data Analysis (EDA)
✔ Visualization with Matplotlib and Seaborn
✔ Data Preprocessing
✔ Feature Engineering
✔ Data Mining

Module 2: Supervised Learning (Part I: Regression and Classification)
✔ Linear and Logistic Regression
✔ Multiple Linear Regression
✔ Model Evaluation Metrics
✔ K nearest neighbours, Naive Bayes
✔ Decision Trees and Random Forests
✔ Ensemble methods for robust modeling
✔ Support Vector Machines (SVM)

Module 3: Supervised Learning (Part II: Advanced Techniques)
✔ Gradient Boosting Machines (GBM): Implementation with XGBoost and LightGBM
✔ Model Selection: Cross-validation, Grid Search, and Randomized Search for Hyperparameter Tuning
✔ Bias-Variance Tradeoff: Diagnosing and resolving overfitting/underfitting

Module 4: Unsupervised Learning and Dimensionality Reduction
✔ Clustering Algorithms: K-Means, DBSCAN, and Hierarchical Clustering
✔ Principal Component Analysis (PCA)
✔ Association Rule Mining: Introduction to the Apriori algorithm

Module 5: Model Deployment and MLOps (Putting Models into Production)
✔ Feature Engineering Revisited: Techniques for time series and text data
✔ Pipeline Building: Using Scikit-learn Pipelines for robust and repeatable workflows
✔ Model Persistence: Saving and loading models using pickle or joblib

Module 6: Capstone Project
✔ Project Scope
✔ Choose a real-world dataset and problem domain
✔ Design, train, and evaluate a deep learning model
✔ Document and present findings with visualizations

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.