Machine Learning - Basic Course

📌 About this Course

• A comprehensive self-paced online course designed for beginners and professionals.

• Covers the fundamentals to advanced concepts of Machine Learning & AI with hands-on projects.

• Learn at your own pace with video lectures, assignments, and real-world case studies.

📌 Course Overview

• Duration: Flexible, Self-Paced

• Level: Beginner to Intermediate

• Mode: 100% Online

• Includes: Video lectures, quizzes, coding exercises, and projects

• Tools & Technologies: Python, Scikit-learn, TensorFlow, Pandas, Matplotlib

📌 Course Curriculum / Modules

1️⃣introduction to Machine Learning – Basics, Types, and Real-world applications

2️⃣ Understanding Data – Data collection, preprocessing, and visualization

3️⃣ Supervised Learning – Regression, Classification, and Model Evaluation

4️⃣ Unsupervised Learning – Clustering, Dimensionality Reduction, and Anomaly Detection

5️⃣ Model Evaluation & Tuning – Performance Metrics, Cross-validation, Bias-Variance

6️⃣ Responsible AI & Future Trends – AI Ethics, Explainability, Neural Networks Overview

7️⃣ Final Project – Hands-on ML project with real-world dataset

📌 What You Will Learn

✔️ The fundamentals of Machine Learning and its applications

✔️ Data preprocessing and feature engineering

✔️ Implementing Supervised & Unsupervised Learning models

✔️ How to evaluate, tune, and optimize ML models

✔️ The latest trends in AI, Responsible AI, and Neural Networks

✔️ Building an end-to-end ML project

📌 Learning Objectives

🎯 Develop a strong foundation in ML concepts and algorithms

🎯 Gain hands-on experience in Python-based ML frameworks

🎯 Learn to analyze data, train models, and interpret results

🎯 Understand the importance of AI ethics and fairness

🎯 Apply ML techniques to real-world industry problems

📌 Course Features & Benefits

✅ 100% Self-Paced Learning – Study anytime, anywhere

✅ Industry-Relevant Curriculum – Aligned with current AI/ML trends

✅ Hands-on Projects & Case Studies – Gain real-world experience

✅ Doubt Resolution Support – Get guidance from experts

✅ Quizzes & Assignments – Reinforce learning with assessments

✅ Capstone Project – Build an ML model from scratch

✅ Globally Recognized Certificate – Showcase your expertise

📌 Who This Course is For?

👨‍💻 Beginners & Students – Looking to start a career in AI/ML

📊 Data Analysts & Engineers – Wanting to upskill in ML techniques

🚀 Tech Professionals & Developers – Seeking career advancement

🏢 Business & Marketing Professionals – Understanding data-driven decision-making

📚 Anyone Interested in AI & Machine Learning!

📌 Skills Covered

🔹 Python for Machine Learning

🔹 Data Preprocessing & Feature Engineering

🔹 Regression & Classification Models

🔹 Clustering & Dimensionality Reduction

🔹 Model Evaluation & Tuning

🔹 AI Ethics & Explainability

🔹 Building & Deploying ML Models

📌 Complimentary Benefits for Students Enrolling Now!

🎁 Live Q&A Sessions with industry experts

🎁 Bonus Mini-Course on Deep Learning

🎁 Access to Exclusive ML Community & Forums

🎁 Resume & Career Guidance for AI/ML Jobs

🎁 Project Showcase on LinkedIn & GitHub Review

📌 Course Certificate Advantage

🏆 Recognized by top companies and hiring managers

🏆 Adds value to your resume & LinkedIn profile

🏆 Showcases expertise in Machine Learning & AI

🏆 Boosts chances for job opportunities & promotions

📌 Instructor Bio

👨‍🏫 Instructor is an AI/ML Expert with 10+ Years of Experience

📌 Worked with [Top Companies] in AI/ML Research & Development

📌 Speaker at [Conferences, Workshops, and Industry Events]

📌 Passionate about teaching & mentoring future AI leaders

📌 Books & References

📖 "Pattern Recognition and Machine Learning" – Christopher Bishop

📖 "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" – Aurélien Géron

📖 "Machine Learning Yearning" – Andrew Ng

📖 Official Python & Scikit-learn Documentation

📌 Top Indian Companies Hiring with These Certifications & Skillsets

🏢 Tech Giants: Google, Microsoft, Amazon, TCS, Infosys

🏢 Startups & Unicorns: Zomato, Swiggy, Ola, Paytm, Razorpay

🏢 Consulting Firms: Deloitte, PwC, Accenture, EY

🏢 AI & Data Science Firms: Fractal Analytics, Mu Sigma, Quantiphi