Mastering Machine Learning: From Basics to Advanced Applications

Course info

Beginner

25 Videos

03+ Hours

61 Learners

₹ 1

₹1

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Mastering Machine Learning: From Basics to Advanced Applications

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COURSE OVERVIEW

This course offers an in-depth journey into the world of machine learning, providing learners with both theoretical foundations and hands-on skills to build, evaluate, and deploy machine learning models. Beginning with a broad introduction to the field, the course covers key tools, such as Python, Numpy, Pandas, and essential algorithms including regression, clustering, and neural networks. Learners will also explore advanced topics like hyperparameter tuning, neural networks, and time series analysis. By the end, you’ll have the skills to deploy your own models and apply machine learning techniques to real-world problems.

Why learn this course?

Comprehensive Coverage: Gain a solid understanding of machine learning, starting from basic concepts to advanced model deployment techniques.
Hands-on Approach: Practical projects and examples ensure that you can apply your knowledge in real-world settings.
In-Demand Skills: Machine learning is one of the fastest-growing fields in technology. This course equips you with skills highly sought after in the industry.
Master Popular Tools: Learn to work with popular libraries like Numpy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
Career Boost: Whether you’re starting or transitioning into data science, these skills are valuable in a wide range of industries, from tech to finance and healthcare.

Who is this course for?

Beginners: Those who are new to machine learning or data science.
Data Enthusiasts: Individuals looking to deepen their knowledge and work with real data.
Professionals: IT professionals or engineers looking to transition into a machine learning role.
Students: Undergraduate or graduate students studying computer science or data science.

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Mastering Machine Learning: From Basics to Advanced Applications

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Kind words from our students

Highly informative and engaging course that exceeded my expectations. The instructor's expertise and delivery style made the content easy to understand and apply.

The online platform's user-friendly interface and intuitive navigation made accessing course materials and submitting assignments an incredibly seamless experience.

The lectures were consistently clear and concise, with well-structured content that was presented in an easily digestible format, facilitating effortless learning.

The technical reliability of the platform ensured a smooth and uninterrupted learning experience, free from glitches and downtime.

What will you learn?

Introduction to Machine Learning and Setup

This module introduces the core concepts of machine learning and sets up the Python environment required for the course.

2 Videos | 12 min

Free Sample Videos

Introduction to Machine Learning

Setting Up Python Environment

Introduction to Machine Learning

Video • 6 min

Preview

Setting Up Python Environment

Video • 7 min

Preview

Data Preprocessing and Visualization

Learn how to prepare raw data for machine learning models, including cleaning, normalization, and visualization techniques.

4 Videos | 27 min

Data Preprocessing

Video • 8 min

Basic Data Visualization

Video • 7 min

Introduction to Pandas

Video • 7 min

Introduction to Numpy

Video • 7 min

Supervised Learning Essentials

Dive into supervised learning, a key machine learning technique where models learn from labeled data. Cover regression and classification methods.

4 Videos | 29 min

Supervised Learning Basics

Video • 7 min

Unsupervised Learning Basics

Video • 6 min

Model Evaluation Basics

Video • 8 min

Building a Simple ML Project

Video • 9 min

Key Machine Learning Algorithms

Explore some of the most important machine learning algorithms, from linear regression to decision trees and clustering techniques.

7 Videos | 49 min

Linear Regression Basics

Video • 6 min

Logistic Regression Basics

Video • 7 min

Decision Trees Introduction

Video • 7 min

K-Nearest Neighbors (KNN)

Video • 8 min

Support Vector Machines (SVM)

Video • 7 min

Clustering with K-Means

Video • 9 min

Principal Component Analysis (PCA)

Video • 8 min

Advanced Techniques and Neural Networks

Step into the advanced realms of machine learning by understanding neural networks and deep learning frameworks like TensorFlow and PyTorch.

6 Videos | 46 min

Introduction to Scikit-Learn

Video • 8 min

Cross-Validation Techniques

Video • 9 min

Hyperparameter Tuning Basics

Video • 7 min

Introduction to Neural Networks

Video • 8 min

Introduction to TensorFlow

Video • 8 min

Introduction to PyTorch

Video • 9 min

Time Series, Model Deployment, and Real-World Applications

Learn to work with time series data, a critical skill for financial, healthcare, and IoT applications. Then, move on to model deployment, where you’ll learn how to integrate machine learning models into production environments.

2 Videos | 12 min

Time Series Analysis Basics

Video • 6 min

Model Deployment Basics

Video • 8 min

Final assessment

Mastering Machine Learning: From Basics to Advanced Applications Final Assessments

Ways to take this course

Beginner

Best for students you want to experience the ATG learning way.

₹ 1 / One time pay

What's Included

Videos + Resources
Assessment
One project
Community
Job fair
Upgrade to Skill Seekers anytime

Skill seekers

Best for Professional you want to get a high paying job by ATG learning way.

₹
299
/ One time pay

What's Included

Paid Internship Promise or Money Refund
Everything included in Beginner’s
Weekly Sessions
Multiple projects
Resume Review
Industry Projects
Preference in Job fair

Frequently asked questions

Can an ATG certificate help me get a Job?

Yes. You can add them to your resume to prove to a potential employer that you're committed to your professional development and have gained practical skills to succeed in your job.

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Enroll

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Industry Recognized Course Certificate

Introduction to Machine Learning and Setup

Introduction to Machine Learning

Setting Up Python Environment

Data Preprocessing and Visualization

Data Preprocessing

Basic Data Visualization

Introduction to Pandas

Introduction to Numpy

Supervised Learning Essentials

Supervised Learning Basics

Unsupervised Learning Basics

Model Evaluation Basics

Building a Simple ML Project

Key Machine Learning Algorithms

Linear Regression Basics

Logistic Regression Basics

Decision Trees Introduction

K-Nearest Neighbors (KNN)

Support Vector Machines (SVM)

Clustering with K-Means

Principal Component Analysis (PCA)

Advanced Techniques and Neural Networks

Introduction to Scikit-Learn

Cross-Validation Techniques

Hyperparameter Tuning Basics

Introduction to Neural Networks

Introduction to TensorFlow

Introduction to PyTorch

Time Series, Model Deployment, and Real-World Applications

Time Series Analysis Basics

Model Deployment Basics

Beginner

₹ 1 / One time pay

Skill seekers

₹ 299 / One time pay

Can an ATG certificate help me get a Job?

₹
299
/ One time pay