This course teaches the fundamentals of Artificial Intelligence, Machine Learning, and Deep Learning using Python and Keras. It is tailored for beginners who seek to build a solid foundation in data science principles and essential mathematical concepts.
Key Learning Outcomes
- Python programming for data science: Gain proficiency in Python, the primary language for data science, enabling you to implement various machine learning algorithms effectively.
- Deep learning with Keras: Learn to utilize Keras for building neural networks, allowing you to tackle complex problems in areas like image recognition and natural language processing.
- Machine learning techniques: Explore various techniques such as Naive Bayes, XGBoost, and Logistic Regression, equipping you with the skills to analyze and interpret data accurately.
- Mathematical foundations: Review essential concepts in linear algebra, calculus, and statistics, which are crucial for understanding and applying machine learning algorithms successfully.
This course provides a structured learning experience that equips beginners with the necessary skills and knowledge to excel in the field of data science.
Who This Course Is For
- Students pursuing a career in data science who need foundational knowledge in machine learning and programming.
- Professionals looking to transition into AI roles and require practical skills in Python and Keras.
- Individuals interested in enhancing their understanding of deep learning techniques and their applications in real-world scenarios.
File Details
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Total Size: 34GB
How to Get Your Files:
– Enter your email address in the "Message" field at checkout.
– Your Google Drive access link will be emailed immediately after payment confirmation.
– Enjoy Lifetime Access to stream or download your files.
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