AI/ML Course in Coimbatore
Unlock the potential of Artificial Intelligence (AI) and Machine Learning (ML) with Edukators’ expertly crafted courses. Designed for both beginners and professionals, our AI and ML courses provide a solid foundation while preparing you to tackle real-world challenges. You’ll gain the skills to explain the key components of ML models, understand various machine learning algorithms and their applications, and grasp the statistical principles underlying ML. With hands-on experience, you’ll develop supervised and unsupervised learning models, apply testing methods, and quickly start building ML models while mastering their theory. This course equips you to work on application development projects, transforming your career with practical expertise in AI and ML for real-world impact.
Description
About AI/ML Course in Coimbatore
Know about our AI/ML Trainers
Our artificial intelligence and data science course is designed for all skill levels and led by expert trainers who make even the most complex topics accessible. This program provides comprehensive course details and ranks among the top AI courses for its hands-on approach. Covering everything from foundational concepts to advanced topics such as machine learning, deep learning, and AI development, it prepares you for real-world applications in AI engineering. You’ll explore the practical uses of artificial intelligence, and master cutting-edge tools and techniques. Whether you’re looking for the best AI course, a practical artificial intelligence program, or an AI course for beginners, this program equips you with the skills to succeed. Join us to learn AI and unlock a future in this dynamic field!
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Benefits of taking our AI/ML Course
Course Details
- Introduction to Python
- Setting up the Environment
- Writing Basic Python Code
- Data Types and Variables
- User Input and Output
- Control Structures
- Operators and Expressions
- Problem Solving
- Introduction to Data Structures
- Lists
- Tuples
- Dictionaries
- Dates and Times
- The Math Library
- Character Data and String Functions
- Functions
- Introduction to Object-Oriented Programming (OOP)
- Classes and Objects
- Instance Methods and Data
- Managing Objects
- Error Types in Python
- Exception Handling
- Modules and Packages
- Problem Solving with OOP and Exception Handling
- Introduction to Python Modules for Data Analysis
- NumPy Basics
- Advanced NumPy Operations
- NumPy Array Operations and Projects
- Introduction to Pandas for Data Manipulation
- Data Cleaning and Analysis with Pandas
- Data Analysis Projects
- Introduction to Matplotlib for Data Visualization
- Matplotlib Basics
- Advanced Matplotlib Plot Types
- Matplotlib Project
- Introduction to Seaborn for Statistical Data Visualization
- Seaborn Plot Types and Customization
- Data Visualization Projects with Seaborn
- Comprehensive Data Visualization Project
- Introduction to Machine Learning
- Introduction to Scikit-Learn
- Data Pre-Processing Essentials
- Hands-On Exercise
- Introduction to Model Evaluation Metrics
- Building a Sample Classification Model
- Evaluating the Model
- Hands-On Project
- Introduction to Supervised Learning
- Linear Regression
- Implementing Linear Regression
- Logistic Regression
- Implementing Logistic Regression
- Introduction to Decision Tree
- Discussion and Q&A
- Introduction to Unsupervised Learning
- Clustering Techniques
- K-means Clustering
- Hierarchical Clustering
- Dimensionality Reduction Techniques
- Principal Component Analysis (PCA)
- Introduction to Anomaly Detection
- Q&A and Summary
- Support Vector Machines (SVM)
- Introduction to Ensemble Methods
- Random Forest
- Gradient Boosting and XGBoost
- Hyperparameter Tuning with GridSearchCV
- Hands-On Project: Applying Advanced Algorithms
- Q&A and Summary
- Project 1: Recommendation System with Collaborative Filtering
- Project 2: Customer Churn Prediction
- Project 3: Sentiment Analysis on Twitter Data
- Project 4: Stock Price Prediction with Time Series Analysis
- Project Summary and Presentation
Requirements
Job Opportunities in AI/ML
Completing our artificial intelligence course and machine learning course can lead to diverse career opportunities, including:
- Machine Learning Engineer
- Data Scientist
- AI Research Scientist
- Deep Learning Engineer
- Natural Language Processing (NLP) Engineer
- Computer Vision Engineer
- AI Product Manager
- Robotics Engineer
- AI Educator/Trainer
