machine learning Course In kollam

Online Machine Learning' Machine Learning Courses In Kerala

Unlocking the Power of Machine

Learning: Explore, Create, Innovate

Welcome to the forefront of technological advancement! At Grandridge, we invite you to embark on a transformative journey into the realm of Machine Learning. Our comprehensive program is designed to empower you with the knowledge, skills, and practical experience needed to navigate the complex landscape of artificial intelligence.

Why Machine Learning Matters: A World of Possibilities

Machine Learning Essentials: Delve into the core principles of machine learning, from foundational concepts to advanced algorithms. Understand how machines learn from data, make predictions, and uncover patterns, opening up a world of possibilities.
Hands-On Coding Experience: Equip yourself with practical programming skills using languages like Python, essential tools in the machine learning toolkit. Engage in hands-on coding exercises and real-world projects to reinforce your theoretical knowledge.
Specialized Modules: Explore specialized modules such as Natural Language Processing (NLP) and Deep Learning. Dive into the fascinating world of machine understanding of human language and the revolutionary power of neural networks.
Real-World Applications: Translate your knowledge into action by working on real- world projects. These projects simulate industry scenarios, allowing you to apply your skills, solve challenges, and make a meaningful impact.

Course Highlights: Modules at a Glance

Module 1: Fundamentals of Machine Learning

1.1. Distinguishing Artificial Intelligence, Machine Learning, and Deep Learning

1.2. Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning

1.3. Comprehensive Overview of Supervised Learning and Its Variants

1.4. In-depth Exploration of Unsupervised Learning and Its Categories

1.5. Introduction to Deep Learning Basics

Module 2: Python Fundamentals for Machine Learning

2.1. Setting Up Systems with Google Colaboratory for Python

2.2. Fundamental Concepts in Python

2.3. Core Data Types in Python: int, float, string, complex, boolean

2.4. Special Data Types in Python: List, Tuple, Set, Dictionary

2.5. Operators and Control Flow in Python

2.6. Conditional Statements (if-else) and Loops (For Loop & While Loop)

2.7. Defining Functions in Python

Module 3: Tutorials on Essential Python Libraries for Machine Learning

3.1. Comprehensive NumPy Tutorial for Machine Learning

3.2. In-depth Pandas Tutorial for Machine Learning

3.3. Extensive Tutorial on Matplotlib and Seaborn for Machine Learning

3.4. Complete Guide to Sklearn for Machine Learning

Module 4: Data Collection and Processing

4.1. Strategies for Data Collection and Importing Data through Kaggle API

4.2. Addressing Missing Values and Data Standardization

Module 5: Mathematical Foundations for Machine Learning

5.1. Essential Concepts in Linear Algebra, Calculus, Statistics, and Probability

Module 6: Machine Learning Model Training

6.1. Overview of Machine Learning Models and Model Selection

6.2. Techniques for Model Optimization and Evaluation

Module 7: Classification Models

7.1.1. Logistic Regression: Theory, Math, and Building from Scratch

7.2.1. Support Vector Machines (SVM): Theory, Math, and Building from Scratch

7.3.1. Decision Tree Classification: Theory, Math, and Building from Scratch

7.4.1. Random Forest Classification: Theory, Math, and Building from Scratch

7.5.1. Naive Bayes: Theory, Math, and Building from Scratch

7.6.1. K-Nearest Neighbors (KNN): Theory, Basics, and Building from Scratch

Module 8: Regression Models

8.1.1. Linear Regression: Theory, Basics, and Building from Scratch

8.2.1. Lasso Regression: Theory, Basics, and Building from Scratch

8.3.1. Logistic Regression: Theory, Math, and Building from Scratch

8.4.1. Support Vector Machine Regression: Theory, Math, and Building from Scratch

8.5.1. Decision Tree Regression: Theory, Math, and Building from Scratch

8.6.1. Random Forest Regression: Theory, Math, and Building from Scratch

Module 9: Clustering Models

9.1.1. K-Means Clustering: Theory, Math, and Building from Scratch

9.2.1. Hierarchical Clustering: Theory, Math, and Building from Scratch

Module 10: Practical Machine Learning Projects with Python

Project 1: Face Recognition System

Project 2: SONAR Rock vs Mine Prediction

Project 3: Diabetes Prediction

Project 4: House Price Prediction

Project 5: Fake News Prediction

Project 6: Loan Status Prediction

Getting in Touch Is Easy!

Address

Grandridge Centre for Research and Advanced Studies, 2nd Floor, NS Arcade, Beach Road, Kollam, Kerala, India

Email Us

info.grandridge@gmail.com, info@grandridge.in

Call Us

0474 2991230, 9446461231, 9497371231

Machine Learning