Data Science & Machine Learning (Theory+Projects) AZ 90 HOURS is a data science training course with the help of Python in which you will learn statistics, machine learning, and deep learning for statistics. This course is one of the most comprehensive courses of its kind that covers various topics in the field of data science and machine learning. Data science professionals use a combination of algorithms, programs, principles, and tools.
You are probably aware that organizations worldwide are generating a lot of data; Now monitoring and storing this amount of data is problematic, it is in this position that data science with a focus on modeling and maintaining data plays a vital role.
What you will learn in the Data Science & Machine Learning (Theory+Projects) AZ 90 HOURS course:
- Key concepts of machine learning and data science from the basics with examples in Python
- Fundamental concepts and algorithms in machine learning
- Python for data science and data analysis
- Understanding and Visualizing Data with Python
- Probability and Statistics in Python
- Feature engineering and dimensionality reduction with Python
- Artificial Neural Networks
- Convolutional and Recurrent neural networks
- Detailed explanation and simultaneous coding in Python programming language
- Build your own artificial intelligence programs
Instructors: AI Sciences and AI Sciences Team
Education level: introductory to advanced
Number of courses: 734
Duration: 93 hours and 56 minutes
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Prerequisites for the Data Science & Machine Learning (Theory+Projects) AZ 90 HOURS course:
• No prior knowledge is needed. You will start with the basic concepts and gradually build your knowledge of the subject.
• Enthusiasm and willingness to learn and practice.
After Extract, view it with your favorite Player.
The 2022/4 version has increased the number of 106 lessons and the duration of 3 hours and 46 minutes compared to 2020/12.
Download part 1 – 5 GB
Download part 2 – 5 GB
Download part 3 – 5 GB
Download part 4-5 GB
Download part 5 – 5 GB
Download part 6 – 5 GB
Download part 7 – 822 MB
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