Machine Learning

Machine Learning
4.8/5 (182+ ratings)
🎓 347+ Students Enrolled

Machine Learning

Master the fundamentals of machine learning, build predictive models, and work with real-world datasets to gain practical experience.

  • 7-Day Money Back Guarantee
  • Lifetime Access & Updates
40 hours Hours Content
12 Practical Assignments
6 Practical Assignments

Why This Course?

This Machine Learning course provides a comprehensive introduction to the core concepts and advanced techniques in ML. You will learn how to preprocess data, build machine learning models, and evaluate their performance. The course covers supervised and unsupervised learning, deep learning fundamentals, and practical applications using Python. By the end, you’ll have the skills to create intelligent models and work with real-world datasets for data-driven decision-making.

You'll Get:

  • Lifetime access to all course materials and future updates
  • Hands-on projects with real-world datasets
  • Exclusive access to a Machine Learning community
  • Certificate of completion included at no extra cost
  • One-on-one mentorship for career guidance

Course Includes:

1080p HD Video Lectures
24/7 Support

At EskillsPro, we provide high-quality Machine Learning training to help you develop industry-relevant skills. With hands-on projects, expert-led sessions, and real-world datasets, you’ll be fully prepared to apply ML in various domains. Our money-back guarantee ensures you achieve your learning goals risk-free.

Detailed Curriculum

Introduction to Machine Learning

Fundamentals
  • What is Machine Learning? Applications and Use Cases
  • Understanding Supervised vs. Unsupervised Learning
  • Setting Up Your ML Environment (Python, Jupyter, and Libraries)

Data Preprocessing & Feature Engineering

Advanced
  • Handling Missing Data and Outliers
  • Feature Scaling and Encoding Categorical Data
  • Dimensionality Reduction Techniques

Supervised Learning Algorithms

Advanced
  • Linear Regression and Logistic Regression
  • Decision Trees and Random Forest
  • Support Vector Machines (SVM) and k-Nearest Neighbors (k-NN)

Unsupervised Learning & Clustering

Advanced
  • K-Means and Hierarchical Clustering
  • Principal Component Analysis (PCA)
  • Anomaly Detection Techniques

Neural Networks & Deep Learning

Advanced
  • Introduction to Artificial Neural Networks
  • Building Deep Learning Models with TensorFlow and Keras
  • Understanding CNNs for Image Classification

Start Your Learning Journey Today

Join 347+ students who've transformed their skills

Enroll Now - ₨3,000 PKR
Rated 4.8/5 by 182+ students