Machine Learning with Python
JavaScript is the popular programming language which powers web pages and web applications. This course will get you started coding in JavaScript.
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Module 1: Introduction to Machine Learning
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Module 2: Python for Machine Learning
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Module 3: Data Preprocessing
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Module 4: Data Visualization
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Module 5: Supervised Learning
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Module 6: Unsupervised Learning
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Module 7: Model Evaluation & Optimization
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Module 8: Introduction to Deep Learning
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Module 9: Machine Learning Projects
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Module 10: Model Deployment
Machine Learning with Python is a comprehensive, hands-on course designed to teach students how to build intelligent systems using Python and modern Machine Learning techniques. This course covers the complete Machine Learning lifecycle, from data collection and preprocessing to model training, evaluation, optimization, and deployment.
Students will gain practical experience using industry-standard libraries such as NumPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, and Keras to solve real-world business problems through predictive analytics and intelligent decision-making.
Whether you’re a student, software developer, data analyst, AI enthusiast, or business professional, this course will equip you with the skills needed to build Machine Learning applications and start a career in Artificial Intelligence and Data Science.
Why Learn Machine Learning?
Machine Learning powers many technologies we use every day, including:
- Netflix & YouTube Recommendations
- ChatGPT & AI Assistants
- Fraud Detection Systems
- Self-Driving Cars
- Medical Diagnosis
- Customer Behavior Prediction
- Sales Forecasting
- Image & Speech Recognition
Machine Learning is one of the most in-demand skills worldwide and a key component of modern AI solutions.
What's included
- Standard Track
- 10 Weeks
- 2 Classes per Week
- 90 Minutes per Session
- Total: 30 Hours
- Weekend Track
- 8 Weeks
- Saturday & Sunday Classes
- 2 Hours per Session
- Total: 32 Hours
- One-to-One Training
- Customized Schedule
