Learn Machine Learning & Data Mining with Python
What you'll learn
- Learn everything about Data Mining and its applications
- Understand Machine Learning and its connection with Data Mining
- Learn all Machine Learning algorithms, their types, and their usage in business
- Learn how to implement Machine Learning algorithms in different business scenarios
- Learn how to install and use Python programming language to create machine learning algorithms in a simple way
- Learn how to import your data sets into Python and make required cleaning before creating the algorithms
- Learn how to interpret the results of each algorithms and compare them with each other to choose the optimum one
- Learn how to create graphs in Pythons, such as scattered and regression graphs and use them in your analyses
- Learn data analysis in PySpark
Requirements
- Basic knowledge in Statistics and operating systems
Description
If you seek to learn how to create machine learning models and use them in data mining process, this course is for you. You will understand in this course what is data mining process and how to implement machine learning algorithms in data mining. Moreover, you will learn in details how deep learning does work and how to build a deep learning model to solve a business problem. In the beginning of the course, you will understand the basic concepts of data mining and learn about the business fields where data mining is implemented.
After that you will learn how to create machine learning models in Python using several data science libraries developed especially for this purpose. NumPy, Pandas, and Matplotlib are some examples of these models that you will learn how to import and use to create machine learning algorithms in Python. You will learn typing codes in Python from scratch without the need to have a pervious knowledge in coding. You will be familiar with the essential code needed to build machine learning models. This course is designed to provide you with the knowledge you need in a simple and straightforward way to smooth the learning process. You will build your knowledge step by step until you become familiar with the most used Machine Learning algorithms.
Who this course is for:
- Anyone who need to use machine learning algorithms in data mining for business implementation.
- Anyone wants to learn Machine Learning in Python.
- Anyone wants to learn data analysis in PySpark.
Featured review
Instructor
- 4.4 Instructor Rating
- 2,350 Reviews
- 6,814 Students
- 6 Courses
My name is Abraham Joudah
I have worked in IT and Data Science for more than 15 years. After completed my bachelor’s in computer science, I worked as Database Administrator in one of the engineering companies. I have obtained several certificates from Microsoft like MCSE, MCDBA and MCSA. After several years of working in IT, I started focusing on Data Science field and learning SQL in depth to enhance my business data analysis skills. I also worked as Data Analyst in several companies. Over several years of working in this field I mastered several analytical tools, such as: R, SAS, SQL, Tableau, and Excel. As I enjoy working at data science field I pursued my study in this major and obtained my Master’s degree in Business Analytics from University of North Texas and Doctorate degree in Knowledge Management from SMU University.
I love teaching Data Science, So I decided to create several courses in this field to share my knowledge with others. I tried to be more practical in my classes rather than repeating the same materials and curriculums in this field. I used materials based on real business scenarios to provide practical knowledge for students. I focused on examples from real business. In other words, I created shortcuts for learners to gain practical experience while studying my courses.