Description
Data Science: Machine Learning and Deep Learning with Python This course initially focuses on the basics of data science, machine learning, and deep learning, and over time, the content and lectures become more advanced and practical. But first, an introduction to Python is discussed. Python is one of the fastest growing programming languages, and if we look specifically from the perspective of data science, machine learning, and deep learning, there is no other option than Python as a programming language. First, there is a crash course on Python for those who are not very good at Python and then there is an exercise for Python that you have to solve, but if you feel any problem in solving the exercise, here is the solution. is also provided. Then we moved towards data science and we started with data analysis using Scrapy and then data visualization using several Python libraries and finally we learn various data preprocessing techniques. And finally, there is a complete project that we will do together. After that, we will learn some classic machine learning algorithms and some advanced algorithms. Some of them will be implemented from scratch and others will be implemented using internal Python libraries. At the end of each algorithm, there will be a small project. Finally, the basic structure of deep learning, artificial neural networks and its implementation in TensorFlow will be discussed, followed by a complete project based on deep learning. And finally, some meta-parameter tuning techniques that improve model performance will be discussed.
About the Instructor: Below we will introduce the instructor of this course, Sajjad Mustafa. He is an expert in web programming, data science, and machine learning. He has been working on various topics for about 3 years, including the mentioned ones, and has been teaching in these projects for more than a year. He has expertise in understanding requirements and creating the most unique and appropriate solution path for the given task. He is well acquainted with and has deep knowledge of Python, Ruby, JavaScript. Django, ReactJS, React Native, JQuery, HTML, CSS, Bootstrap, C, C++, SQL (MySQL, mySQLite) are also my topics of interest. He is very interested in new technologies and likes to have good professional communication. Let’s meet him in this order.
What you will learn in Data Science: Machine Learning and Deep Learning with Python Course
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Understanding from beginner to advanced level:
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Data Science: (Online Data Analysis, Data Visualization, Data Preprocessing, Data Preparation for Machine Learning)
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Machine Learning: (Supervised Machine Learning, Unsupervised Machine Learning, Implementation of algorithms from scratch form, Use of internal algorithms.)
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EmitDeep Learning: (TensorFlow, hyperparameter settings)
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Work with some datasets that are benchmarks in the industry such as: Titanic, Grain, Ore, and Mining
This course is suitable for those who
- Artificial Intelligence Enthusiast
- those who have a basic level of English
- Those who have basic knowledge of any programming language
- Those who have basic knowledge of OOP
- A hose that wants to write programs for prediction
- People who are interested in creating automated computer programs
- Those who want to unlock the future of information technology i.e. artificial intelligence
Data Science Course Specifications: Machine Learning and Deep Learning with Python
- Publisher: Udemy
- Teacher: Teach Premium
- Training level: Beginner to advanced
- Training duration: 14 hours and 20 minutes
Data Science Course Topics: Machine Learning and Deep Learning with Python
Data Science Course Prerequisites: Machine Learning and Deep Learning with Python
- Basic knowledge of any programming language
- Passion for learning
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Sample video of the course
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