Udemy – Data Analysis and Machine Learning with Python 2023-4

Data Analysis and Machine Learning with Python course. This course teaches participants how to use the Pandas library in Python to analyze and process data and learn the basics of linear regression, one of the most widely used machine learning models. Participants will be introduced to data cleaning and preparation techniques, including handling missing values, working with categorical data, and transforming data structures. They will also be introduced to exploratory data analysis (EDA) methods and visualization tools to better understand data. In the machine learning section, they will cover implementing linear regression using Scikit-learn, evaluating the model, and interpreting its results. This course is designed for all levels from beginner to advanced, and with practical examples, it strengthens the skills necessary to analyze data and build predictive models. By the end, participants will be able to work with data, build machine learning models, and interpret the results.

What you will learn

• How to use the powerful data analysis and manipulation capabilities of the Pandas library in Python to prepare, clean, and analyze data.
• How to use machine learning models such as linear regression to predict and interpret data insights.
• Techniques for handling missing values, removing duplicates, working with categorized data, and transforming and rotating data.
• How to use various visualization and statistical techniques to understand the structure and characteristics of your data through exploratory data analysis (EDA).
• How to implement linear regression models in Pandas and Scikit-learn and evaluate their performance using various metrics.

This course is suitable for people who:

• Students and recent graduates who are interested in data analysis and machine learning and want to learn how to use Python and Pandas for these tasks.
• Software developers who want to add data analytics and machine learning capabilities to their skill set.
• Anyone who wants to gain a deep understanding of data cleaning, preparation, visualization, data analysis, and machine learning models.

Data Analysis and Machine Learning with Python Course Details

• Publisher:  Udemy
• Instructor:  LunchCoffee Education
• Training level: Beginner to advanced
• Training duration: 2 hours and 14 minutes
• Number of lessons: 34

Course topics

Prerequisites for the Data Analysis and Machine Learning with Python course

• Basic knowledge of programming concepts and experience with Python.
• A laptop or computer with a recent version of Python and necessary libraries installed, such as Pandas, Numpy, Matplotlib, Seaborn, Sklearn. Access to a dataset to use as an example throughout the course
• A desire to learn and apply data analysis and machine learning techniques to real-world problems.

Course images

Sample course video

Download link

Download file – 888 MB

File(s) password: www.downloadly.ir

File size

888 MB