Udemy – Master Deep learning and Machine Learning with Python: 2023 2023-8

Udemy – Master Deep learning and Machine Learning with Python: 2023 2023-8 Downloadly IRSpace

Apr 17, 2025 - 14:20 Updated: Apr 21, 2025 - 07:01

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Udemy – Master Deep learning and Machine Learning with Python: 2023 2023-8

Master course Deep learning and Machine Learning with Python: 2023. Deep learning with Python for artificial intelligence excellence. This training course is carefully designed to empower you with comprehensive knowledge and practical skills to advance in the world of artificial intelligence. Immerse yourself in engaging lectures and hands-on lab sessions that cover fundamental concepts, advanced methodologies, and real-world applications of deep learning. Gain expertise in essential Python libraries, machine learning algorithms, and advanced techniques and build a solid foundation for your AI career. Course Highlights:

Skills Needed: Gain the skills needed in today’s AI-driven job market, opening doors to data science, machine learning, and AI development roles.
Hands-on training: learn by doing! Our interactive lab sessions ensure you gain hands-on experience, from data preprocessing to model evaluation, making you a skilled deep learning expert.
Comprehensive curriculum: From basic Python libraries like Pandas and NumPy to advanced neural network architectures like CNN and RNN, this course covers it all. Explore linear regression, logistic regression, decision trees, clustering, anomaly detection, and more.
Expert Guidance: Our experienced instructors are committed to your success. Get expert guidance, personalized feedback and valuable insights to accelerate your learning journey.
Project-based learning: hone your skills with real-world projects that showcase your deep learning abilities and build a compelling portfolio.
Practical Applications: Learn how deep learning powers real-world applications, including image recognition, natural language processing, recommendation systems, and self-driving vehicles.

Who should register:

Aspiring Data Scientists: Start your journey into data science and artificial intelligence with the skills and knowledge you need to excel.
Machine Learning Enthusiasts: Deepen your understanding of machine learning and take it to the next level with deep learning programs.
Artificial Intelligence Developers: Sharpen your skills in deep learning to stay ahead of this rapidly evolving field.

Whether you’re new to AI or a seasoned professional, this course will enable you to tap into the full potential of deep learning and Python, opening the doors to limitless opportunities. Don’t miss this opportunity to shape your future in AI.

Course syllabus

Part 1: Introduction

Understand the importance of deep learning and its implications.

Learn about essential integrated development environments (IDEs).

Part 2: Python libraries

Data manipulation with pandas.

Explore numerical operations with NumPy.

Get into scientific analysis using Scipy.

Create visually appealing graphics with Matplotlib.

Create beautiful visualizations with Seaborn.

Part 3: Introduction to Deep Learning

Discover the fundamentals of deep learning.

Understand the central role of neural networks.

Section 4: Supervised learning versus unsupervised learning

Disambiguation of supervised and unsupervised learning.

Part 5: Linear regression

Basic linear regression for prediction.

Part 6: Multiple Linear Regression

Predict multiple outcomes using advanced techniques.

Section 7: Logistic regression

Equip computers with decision-making capabilities.

Section 8: Decision trees

Explore decision trees and essential companions like Xgboost and Random Forest.

Section 9: Clustering

Organize data through clustering

Section 10: Anomaly Detection

Identifying anomalies in the data

Section 11: Collaborative and Content-Based Filtering

Provide personal recommendations.

Section 12: Reinforcement Learning

Immerse yourself in dynamic reinforcement learning.

Section 13: Neural Networks

Get to the core of artificial intelligence with neural networks.

Section 14: TensorFlow

Master the acclaimed deep learning library.

Section 15: Rough

Easily build and train deep learning models.

Section 16: PyTorch

Explore the dynamic and versatile deep learning library.

Bakhsh 17: RNN and CNN

Unlock specialized architectures for sequential data and image processing. After completing the course, you will have a deep understanding of deep learning and be ready to tackle various AI and machine learning challenges using Python’s powerful toolbox. This course equips you to confidently enter the field of artificial intelligence mastery. Experience the magic of artificial intelligence and command your computer to achieve remarkable feats! Register now and unlock the magic of Deep Learning and Python!

What you will learn in the Master course Deep learning and Machine Learning with Python: 2023

Data visualization libraries such as Pandas, Matplotlib, Seaborn and NumPy.
Key machine learning concepts, including supervised and unsupervised learning, and understanding the difference between them.
Implementation of linear regression models.
Understanding the concept of cost functions.
Using gradient descent for optimization.
Decision tree algorithms, including XGBoost and Random Forests.
Understanding how ensemble methods work and their applications in predictive modeling, enabling them to build more accurate and robust models.
They will also be able to extend their skills to logistic regression, including cost functions and gradient descent for classification problems.

This course is suitable for people who

Beginner Python developers are eager to learn Deep Learning and Data Science
Students who have at least a high school background in mathematics and want to start learning machine learning.
All people who are not very comfortable with coding but are interested in deep learning and want to easily apply it to datasets.
Any data analyst who wants to have a higher level in Deep Learning.
Anyone interested in deep learning.

Details of the Master Deep learning and Machine Learning with Python course: 2023

Publisher: Udemy
Instructor: Selfcode Academy
Training level: beginner to advanced
Training duration: 10 hours and 12 minutes
Number of courses: 30

Udemy – Master Deep learning and Machine Learning with Python: 2023 2023-8