Machine Learning

Introduction to Machine Learning Explore the foundations of machine learning and its real-world applications. Delve into the principles of data-driven decisionmaking and predictive analytics.

by rimexfurnishings

Course Objectives and Outcomes

3

1K

5

Skills Development

Job Opportunities

Master data analysis,

Discover lucrative career

Project Assignments

statistical modeling, and predictive analytics.

paths in data science and predictive modeling.

Apply machine learning algorithms and principles to real-world data sets.

Overview of Machine Learning Algorithms Supervised Learning

Unsupervised Learning

Reinforcement Learning

Classification and regression algorithms

Clustering and dimensional reduction

Training algorithms for decision-making and

for labeled data.

for unlabeled data.

optimization problems.

Hands-on Coding Exercises 1

Python and R Integration 2

Data Visualization

Learn to implement algorithms

Build interactive plots and

and analyze machine learning models using Python and R

visualize model outputs using advanced visualization tools.

programming languages.

3

Application Development Develop and deploy machine learning models in real-time applications.

Real-World Applications of Machine Learning Healthcare Identify disease patterns and predict patient outcomes.

Finance Enhance investment decisions and detect fraudulent activities.

Manufacturing Optimize production processes and predict equipment failures.

Guest Lectures from Industry Experts Expert Insights Gain valuable knowledge from

Real-World Case Studies

Q&A Sessions

Explore practical

Engage in interactive discussions and ask

seasoned professionals and

applications and success stories from

specific questions about real-world

industry leaders.

industry experts.

challenges.

Assessment and Certification 1

Assignments Regular assignments and quizzes to reinforce learning.

2

Project Evaluation Hands-on project evaluation to test practical skills.

3

Certification Obtain a recognized certificate upon successful course completion.

Next Steps and Resources Online Materials

Community Forums

Career Support

Access to

Engage with peers,

Receive guidance for

comprehensive learning resources and study

industry professionals, and mentors for support

career opportunities and interview preparation.

materials.

and guidance.

Contact Us Address

: F 2/3 2nd Floor, Mrignayni Chowk, Dilshad Colony, Delhi - 110095

Email

info@datadrix.com

Phone

+91 9310936989