Who’s this for
Programmers, developers
Program Format
Online and masterclasses
One-of-kind Machine Learning Training To Build Intelligent Applications
A dedicated Machine Learning specialization with special focus on practical case studies and hands-on experience in Prediction, Classification, Clustering, and Information Retrieval. This is your cue to learn and analyze complex datasets, develop adaptive systems, and create predictive applications.
Practice and implement predictive, classification, clustering, and information retrieval algorithms across actual datasets.
A hands-on approach in machine learning and mastering Python programming skills.
Participants will gain skills in analyzing extensive and complex datasets and crafting adaptable systems that continuously improve.
Your Gateway To A Future-proof Advanced Machine Learning Training Is Here
Participants in the course will delve into regularized linear regression models for prediction and feature selection, mastering the handling of extensive feature sets and navigating models of varying complexities while implementing optimization algorithms suitable for large datasets. The learning objectives encompass a comprehensive understanding of classification models, including binary and multiclass classification, logistic regression for large-scale classification, nonlinear models using decision trees, boosting techniques for enhanced performance, stochastic gradient ascent for scaling methods, and evaluating models using precision-recall metrics, all implemented in Python. By the end of the course, learners will be equipped to:
Build document retrieval systems with k-nearest neighbours
Identify text data similarity metrics
Optimize k-nearest neighbour search using KD-trees
Generate approximate nearest neighbours with locality-sensitive hashing
Differentiate supervised and unsupervised learning tasks
Cluster documents using k-means, parallelize k-means using MapReduce
Tools Covered
Data Science & Machine Learning Courses Mentors
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Specialized Advanced Machine learning Course Online For Futuristic Roles
Machine Learning Expert: Employ a range of machine learning tools and technologies to build statistical models leveraging vast business data resources.
Senior Data Scientist: Identify challenges, develop models based on collected data, and supervise a team of data scientists.
Applied Scientist: Create and refine machine learning models to enhance intelligence for organizational products and services.
Who Should Attend Our Machine Learning Bootcamp Program?
- Data Scientists and Analysts
- Software Engineers
- Business Analysts
- Programmers and Developers
Client Testimonials
"Before this bootcamp, we had limited knowledge on ML topics, but after completing this program, it’s like we have a compiled model of algorithms, techniques, methods, etc., in our mind, and we just need to fit it whenever and wherever required. Additionally, the bootcamp has completed fulfilled my learning objectives; the program has a lot of hands-on cases, with extensive conceptual learning"
"Firstly, I want to thank for giving me this opportunity. I started this course with little knowledge in the machine learning domain and it has taught me many things like now I see myself in a good place in machine learning. I want to thank all the mentors for providing a perfect balance between the practical and the theory. We never felt like the course was boring, and we had some interesting sessions that cover good feature engineering techniques, feature extraction. The facilitator has provided extensive hands-on experience across all major topics."
Trusted By The Best In The Business
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Frequently Asked Questions!
Here are answers to some of the most commonly asked questions by our clients.
Reach out to us!
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