Description
Course 1: Machine and Deep Learning in Python
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.
Course 2: Data Analysis in PySpark
Apache Spark is one of the most powerful tool used in big data analysis because:
It’s Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.
- It can run real and semi-real time data analysis.
- It can handle large scale of data.
- It can be run using simple code in Python programming language.
You will learn in this course: What is Spark, how does it run, and how data are stored in Spark. You will learn how to configure Python programming environment to run Spark code. You will learn conducting data analysis using real big data. You will learn to import big data files inside Python. You will learn to clean and transform data for analysis. You will learn conducting business analysis using several Spark functions. You will learn to create SQL queries inside PySpark to run data analysis.
Course 3: Statistics for Data Analysis
You will find in this course a simple review for statistics principles needed for data analysis
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.
Requirements
- Basic knowledge in Statistics and operating systems
Last Updated 4/2022
Download Links
Direct Download
Data Analysis & Mining in Python & PySpark (2 Courses in 1).zip (3.1 GB) | Mirror
Torrent Download
Data Analysis & Mining in Python & PySpark (2 Courses in 1).torrent (124 KB) | Mirror
