Machine Learning Complete Guide: Master Algorithms, AI, and Data Modeling
Unlock the power of Artificial Intelligence to revolutionize your business. Our AI solutions enhance innovation, boost efficiency, and enable smarter decision-making.
By Conquer 4.6 ★★★★★ 850 students
What You’ll Learn
- Master Frontend Development – Learn HTML, CSS, and JavaScript to create engaging, interactive websites.
- Build Responsive Web Interfaces – Design mobile-friendly, user-focused experiences.
- Explore Modern Frameworks – Work with React, Angular, or Vue to develop dynamic web applications.
- Understand Full-Stack Development – Learn server-side technologies and databases to build complete web solutions.
About Course
Embark on a comprehensive journey into web development, mastering the skills to build stunning, responsive, and dynamic websites. Whether you’re a beginner or an experienced developer refining your expertise, this course covers everything from core coding principles to advanced frameworks and backend integration, ensuring a well-rounded skill set.
This course includes:
- 24+ hours on-demand video
- 24 Article
- Access on mobile and TV
- Closed captions
- Audio description inexisting video
- Certificate of completion
Course Curriculum
1. Introduction & Python Installation
Get started with Python by understanding its background, importance, and real-world applications. Learn the installation process, write your first program, and explore essential input/output (I/O) operations to build a strong coding foundation.
2. Programming Elements: Keywords & Variables
Dive into Python’s core building blocks by exploring keywords, variables, and fundamental data types like numbers and strings. Learn how to manipulate data using various operations and reinforce your understanding through hands-on implementation.
3. Conditions & Loops: Indentation & Scopes
Master Python’s code structure by understanding indentation and variable scopes. Learn to implement conditional branching with if, else, and elif statements. Explore looping techniques using for and while loops, and optimize program flow with break and continue statements for better control and efficiency.
4. Data Structures
Gain hands-on experience with Python’s versatile data structures, including lists, tuples, sets, and dictionaries. Master CRUD operations (Create, Read, Update, Delete) to manipulate data efficiently. Apply your knowledge by building a Rock-Paper-Scissors game using console input/output, reinforcing practical implementation of these concepts.
5. Functions & Exception Handling
Learn how to create and use functions effectively, including positional and keyword arguments for better code organization. Understand the importance of return statements in producing desired outputs. Master exception handling with try, except, and finally blocks to write robust, error-resistant programs that ensure smooth execution.
6. Add-On Topics
Enhance your Python skills with file handling, mastering input/output (I/O) operations for efficient data management. Explore NumPy arrays to perform advanced numerical computations, optimizing data processing and manipulation in Python.
7. Model Evaluation & Hyperparameter Tuning
Master techniques to assess and enhance model performance using cross-validation, confusion matrices, and grid search. Learn how to fine-tune hyperparameters effectively to prevent overfitting and achieve optimal results in machine learning models.
Material Includes
- Introduction to Machine Learning Algorithms – Gain a solid foundation in key algorithms like linear regression, decision trees, k-nearest neighbors (KNN), and support vector machines (SVM).
- Hands-on Projects & Case Studies – Work with real-world datasets to apply machine learning techniques in industries like healthcare, finance, and marketing.
- Supervised & Unsupervised Learning – Deep dive into classification, regression, clustering, and dimensionality reduction to handle diverse ML tasks.
- Model Evaluation & Optimization – Learn to assess model performance with metrics like accuracy, precision, recall, and F1-score, and fine-tune models for better outcomes.
- Introduction to Neural Networks – Understand the fundamentals of deep learning with hands-on practice using TensorFlow and Keras to build intelligent AI models.
Who Should Enroll?
- Beginners – Build a strong foundation in machine learning from scratch.
- Professionals – Upgrade your skills and stay ahead of the latest industry trends.
- Business Owners – Leverage machine learning insights to optimize and grow your business.
- Students – Gain hands-on experience and prepare for a successful career in AI and ML.
- Enthusiasts – Explore machine learning concepts and apply them to real-world scenarios.
₹5500 ₹14000 Discount 60% off
⏰ 3 days left at this price!
Benifits Obtained:
- Webinar Link
- Training Evaluation Test
- Complete Certification
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Self Learning
- Lifetime Access to Course Materials
- Pre-Recorded Video Lectures by Industry Experts
- Downloadable Resources & Study Materials
- Quizzes & Assignments for Self-Evaluation
- Certificate of Completion
Expert Led learning
- Lifetime Access to Course Materials
- Pre-Recorded Video Lectures by Industry Experts
- Downloadable Resources & Study Materials
- Quizzes & Assignments for Self-Evaluation
- Certificate of Completion
- Live Sessions with Industry Experts
- Doubt-Clearing Sessions
- Hands-On Projects & Case Studies
- Discussion Forums & Peer Networking
- Industry-Relevant Practical Assignments
Advanced
- Includes: Digicours Course
- Duration: 6 Months
- Meet Your Coach
- Branding Materials