AI/ML BootCamp - Batch 01 - Session 04

COMSATS University Islamabad - Abbottabad, Pakistan

Welcome to Session 04 of the AI/ML BootCamp - Batch 01! In this session, participants will explore the fundamentals of Linear Regression for univariate data. The session includes an assignment focused on data cleaning and fitting a linear regression model, providing practical experience in preparing and analyzing data.

Nov 18, 2023, 4:00 – 5:00 PM

35 RSVP'd


Key Themes

Career DevelopmentCloud Study JamExplore MLGeminiGoogle CloudMachine LearningOpen SourceSolution ChallengeTensorFlow / Keras

About this event

Session 04 of the AI/ML BootCamp - Batch 01 is a pivotal part of your journey into the world of machine learning. This session will focus on Linear Regression Univariate, a foundational algorithm for understanding relationships between variables, and includes an assignment on data cleaning and model fitting.

Linear Regression Univariate

The session will begin with an introduction to linear regression, a simple yet powerful statistical method used to model the relationship between a dependent variable and a single independent variable. Participants will learn the theoretical underpinnings of linear regression, including the concept of the line of best fit, the importance of minimizing the sum of squared errors, and the interpretation of regression coefficients.

Data Cleaning

Before fitting the linear regression model, participants will delve into data cleaning, a critical step in the data preprocessing pipeline. They will learn techniques for handling missing values, removing duplicates, and correcting data inconsistencies. Proper data cleaning ensures the integrity and quality of the dataset, which is essential for building accurate and reliable models.

Fitting a Linear Regression Model

Following data cleaning, participants will learn how to fit a linear regression model to their dataset. This includes understanding the assumptions of linear regression, using libraries such as NumPy and pandas for data manipulation, and employing scikit-learn for model fitting. Participants will also explore methods to evaluate the performance of their regression model using metrics such as R-squared and mean squared error.

Practical Assignment

To solidify their understanding, participants will engage in a practical assignment that involves both data cleaning and fitting a linear regression model. This hands-on exercise will provide practical experience in preparing a dataset, implementing a linear regression algorithm, and interpreting the results. By the end of the assignment, participants will have a comprehensive understanding of the end-to-end process of building a regression model.

Interactive Learning and Advanced Topics

Throughout the session, participants will benefit from interactive lectures and practical coding exercises that reinforce key concepts. Advanced topics such as detecting and handling outliers, feature scaling, and the impact of multicollinearity will also be discussed, providing a deeper understanding of the complexities involved in regression analysis.

Join us for Session 04 of the AI/ML BootCamp - Batch 01, and take a significant step towards mastering machine learning with linear regression. Whether you're aiming to build predictive models or gain insights from data, this session will equip you with the essential skills and knowledge to succeed.

Don't miss this opportunity to enhance your data analysis capabilities and deepen your understanding of linear regression with the AI/ML BootCamp - Batch 01!


  • Rida Zainab


    AI/ML Ninja


  • Muhammad Raees Azam

    GDSC COMSATS Abbottabad


  • Rizwan Shah

    GDSC COMSATS Abbottabad



  • Muhammad Raees Azam

    GDSC Lead

  • Hashir Ahmad Khan

    Former General Secretary

  • Maha Babar

    Comsats University

    Co- Lead

  • Nayab Zahra

    COMSATS University Islamabad

    Industrial & PR GURU


    Comsat University Islamabad Abbottabad Campus

    Information Technology Guru

  • Ibrahim Mir

    Comsats university abbottabad

    General Secretary

  • Areeb Ajab

    C.U.I, Abbottabad Campus

    Android Ninja

  • Sara Iftikhar

    COMSATS University Islamabad, Abbottabad Camous.

    Graphics Ninja

  • Wania Khan

    COMSATS University Islamabad, Abbottabad Campus.

    Membership Ninja

  • Muneer Hasan

    Flutter Ninja

  • Rida Zainab

    AI/ML Ninja

  • Muhammad Awais Khan

    Comsat University Islamabad Abbottabad Campus

    Web Ninja

  • Maria Adil


    Documentation Ninja

  • Varisha Sajjad

    Comsats University Abbottabad

    Marketing Ninja (F)

  • Muhammad Hasnain

    Media Ninja

  • Muhammad Danyal

    Comsats Abbotabad

    Membership Ninja ( M )

  • Jawaid Aziz


    Marketing Ninja ( M )

  • Malik Imran

    Comsats university abbottabad

    Media Ninja

  • Mukaram Awan

    COMSATS University Abbottabad Campus

    Graphics Ninja ( M )

  • Saqib Dawar

    Inventory Ninja

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