Learn Data Science with Data Parsing, Data Visualization, Data Processing, Supervised & Unsupervised Machine Learning
If you are interested in learning Data Science and Machine learning, then you must check this course out! This course involves everything you need to know about data science, the fundamentals of machine learning, and deep learning. The course includes a complete crash course of Python, which alone is incredibly informative and detailed. With Python being one of the fastest-growing programming languages today and having capabilities suitable for data science, machine learning, and deep learning perspectives, it is the perfect programming language to start with.
The course aims to provide an introductory discussion on the fundamentals of Data Science, Machine Learning, and Deep Learning starting with the basics but slowly moving towards more advanced lectures and practical applications. The whole course is filled with practical exercises and real-time projects, enabling you to learn through hands-on experience.
Course Content
The course content is designed accordingly to facilitate even those students who do not have a proper programming background. The instructor, Mr. Sajjad Mustafa, is an expert in Web Programming, Data Science, and Machine Learning and has been working on different topics, including the above-mentioned ones, for almost 3 years and has been teaching on these projects for more than a year.
The course commences with a crash course in Python for those who are not familiar with it, followed by exercises that help test your understanding. You will learn different data preprocessing techniques and then gradually move on to the exploration of Scrapy to perform data parsing.
The instructor then teaches the various visualization methods using various Python libraries. You will also be able to, in this course, learn fundamental machine learning algorithms, including certain advanced ones. Some of the algorithms will be covered from scratch, while others will be implemented using the built-in Python libraries.
The instructor will cover the basics of deep learning; the structure of an artificial neural network and TensorFlow-based implementation will also be discussed, all aimed at preparing you for a complete deep learning project at the end of the course. Hyperparameter tuning techniques are also discussed that will improve the performance of your model.
The course is an excellent resource for beginners, experts, and anyone who falls in between. It is perfect for those who are curious about the potential of data analysis and wish to acquire the necessary tools to master it.
About the Instructor
The instructor of this course is Mr. Sajjad Mustafa, who is an expert in Web Programming, Data Science, and Machine Learning. He has been working on these topics for almost 3 years and has been teaching them for more than a year. He is an acclaimed instructor who has helped thousands of students learn the fundamentals and complexities of the field in an easy-to-understand manner, through hands-on teaching.
He is well-versed in Python, Ruby, JavaScript, Django, ReactJS, React Native, JQuery, HTML, CSS, Bootstrap, C, C++, and SQL (MySQL, mySQLite), and has deep knowledge and understanding of these concepts. He has acquired mastery in understanding requirements and providing the most unique and practical solutions that satisfy the needs of his students.
In addition to teaching, he is passionate about new technologies and strives to establish a healthy professional connection with his students. So, if you're looking for a course to learn Data Science and Machine Learning with Python, you won't find anything better than this!
