MACHINE LEARNING

Master ML from scratch in Just 6 weeks

Why Learn Machine Learning at Abeyaantrix?

Machine Learning is transforming industries by enabling systems to learn from data and make predictions. Our Machine Learning course at Abeyaantrix is designed to equip you with the skills to build and deploy machine learning models effectively. Gain hands-on experience with popular algorithms and frameworks under the guidance of industry experts.

Whether you're new to machine learning or looking to deepen your expertise, our course provides comprehensive training to help you succeed in this exciting field.

Course Syllabus

Week 1: Introduction to Machine Learning

Overview of machine learning concepts, types of learning (supervised, unsupervised), and key algorithms. Introduction to Python libraries for machine learning.

Week 2: Data Preprocessing and Exploration

Techniques for data cleaning, normalization, and transformation. Exploratory data analysis using statistical and visual methods.

Week 3: Supervised Learning Algorithms

Deep dive into supervised learning algorithms including linear regression, logistic regression, and support vector machines. Model evaluation and validation techniques.

Week 4: Unsupervised Learning and Clustering

Introduction to unsupervised learning methods such as clustering and dimensionality reduction. Techniques like k-means clustering and PCA.

Week 5: Advanced Machine Learning Techniques

Exploring advanced topics such as ensemble methods, neural networks, and hyperparameter tuning. Hands-on projects to implement these techniques.

Week 6: Capstone Project and Real-World Applications

Completion of a capstone project to apply machine learning techniques to a real-world problem. Discussion of machine learning applications in various industries.

Sample Projects

Predictive Analytics for Sales Forecasting

Developed a predictive model to forecast sales using historical data and machine learning algorithms.

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Customer Segmentation Using Clustering

Applied clustering techniques to segment customers based on purchasing behavior and demographics.

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Image Classification with Convolutional Neural Networks

Implemented a CNN model to classify images into different categories with high accuracy.

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Sentiment Analysis of Social Media Posts

Built a sentiment analysis model to analyze and categorize the sentiment of social media posts.

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Meet Your Mentor

Mallesh V S

Kavya N C

Benefits of the Course

Industry-Recognized Certification in Machine Learning
Hands-on Projects for a Comprehensive Portfolio
Learning from Industry Experts and Practitioners
Access to High-Quality Learning Resources
Flexible Online Learning Environment
Exposure to Cutting-Edge Technologies and Trends
Accelerated Career Growth in AI, Data Science, and Automation

Career Opportunities

Open doors to a rewarding career in Machine Learning:

Machine Learning Engineer
Data Scientist
Data Analyst
AI Research Scientist
Robotics Engineer
AI Product Manager
Machine Learning Security Expert