Data Analysis and Machine Learning with Python

Data Analysis and Machine Learning with Python, available at $19.99, has an average rating of 3, with 34 lectures, based on 3 reviews, and has 1041 subscribers.

You will learn about 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 model such as linear regression to make predictions and interpret data insights. Techniques for handling missing values, removing duplicates, working with categorical data, and reshaping and pivoting 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 model in Pandas and Scikit-learn, evaluate the performance using various metrics. This course is ideal for individuals who are 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 or Software developers who want to add data analysis and machine learning capabilities to their skillset or Any one who wants to gain in-depth understanding of data cleaning, preparation, visualization, data analysis and machine learning models It is particularly useful for 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 or Software developers who want to add data analysis and machine learning capabilities to their skillset or Any one who wants to gain in-depth understanding of data cleaning, preparation, visualization, data analysis and machine learning models.

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Summary

Title: Data Analysis and Machine Learning with Python

Price: $19.99

Average Rating: 3

Number of Lectures: 34

Number of Published Lectures: 34

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: $39.99

Quality Status: approved

Status: Live

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 model such as linear regression to make predictions and interpret data insights.
• Techniques for handling missing values, removing duplicates, working with categorical data, and reshaping and pivoting 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 model in Pandas and Scikit-learn, evaluate the performance using various metrics.

Who Should Attend

• 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 analysis and machine learning capabilities to their skillset
• Any one who wants to gain in-depth understanding of data cleaning, preparation, visualization, data analysis and machine learning models

Target Audiences

• 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 analysis and machine learning capabilities to their skillset
• Any one who wants to gain in-depth understanding of data cleaning, preparation, visualization, data analysis and machine learning models