Kaggle Training

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Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Kaggle Training Course Overview

Join Kaggle Training by Multisoft Systems to enhance your data science, machine learning, and AI expertise. Gain hands-on experience with real Kaggle projects, Python coding, and data analytics challenges. Perfect for beginners and professionals aiming to excel in competitive data environments and master practical data-driven decision-making skills.

The Kaggle Training by Multisoft Systems is a hands-on program designed for aspiring data scientists, analysts, and AI professionals who want to gain real-world experience in solving complex data problems. Kaggle, the world’s largest platform for data science competitions, provides an ideal environment to apply theoretical knowledge to practical challenges. This course introduces learners to data analysis, machine learning, and predictive modeling using Python and popular libraries like pandas, NumPy, scikit-learn, and TensorFlow. Participants will learn to handle datasets, perform feature engineering, and build machine learning models while participating in Kaggle-style competitions. Through guided projects and interactive sessions, trainees develop essential skills in data visualization, model optimization, and evaluation. The course also covers best practices in data storytelling, reproducible research, and collaborative problem-solving on Kaggle notebooks.

By the end of this training, learners will have the confidence to explore Kaggle competitions, interpret leaderboards, and deploy data-driven solutions to real-world business problems. Whether you’re new to data science or looking to enhance your competitive edge, Kaggle Training by Multisoft Systems equips you with the technical expertise, strategic thinking, and practical exposure required to excel in today’s rapidly evolving data-driven industry.

Instructor-led Training Live Online Classes

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Kaggle Training Course curriculum

Curriculum Designed by Experts

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Join Kaggle Training by Multisoft Systems to enhance your data science, machine learning, and AI expertise. Gain hands-on experience with real Kaggle projects, Python coding, and data analytics challenges. Perfect for beginners and professionals aiming to excel in competitive data environments and master practical data-driven decision-making skills.

The Kaggle Training by Multisoft Systems is a hands-on program designed for aspiring data scientists, analysts, and AI professionals who want to gain real-world experience in solving complex data problems. Kaggle, the world’s largest platform for data science competitions, provides an ideal environment to apply theoretical knowledge to practical challenges. This course introduces learners to data analysis, machine learning, and predictive modeling using Python and popular libraries like pandas, NumPy, scikit-learn, and TensorFlow. Participants will learn to handle datasets, perform feature engineering, and build machine learning models while participating in Kaggle-style competitions. Through guided projects and interactive sessions, trainees develop essential skills in data visualization, model optimization, and evaluation. The course also covers best practices in data storytelling, reproducible research, and collaborative problem-solving on Kaggle notebooks.

By the end of this training, learners will have the confidence to explore Kaggle competitions, interpret leaderboards, and deploy data-driven solutions to real-world business problems. Whether you’re new to data science or looking to enhance your competitive edge, Kaggle Training by Multisoft Systems equips you with the technical expertise, strategic thinking, and practical exposure required to excel in today’s rapidly evolving data-driven industry.

  • To develop a strong understanding of data science fundamentals using real-world datasets.
  • To gain hands-on experience in machine learning model building and evaluation.
  • To learn effective data cleaning, preprocessing, and feature engineering techniques.
  • To master Python programming for data analytics and AI applications.
  • To understand and implement classification, regression, and clustering algorithms.
  • To explore data visualization using libraries like Matplotlib and Seaborn.
  • To enhance analytical and problem-solving skills through Kaggle competitions.
  • To learn how to use Kaggle Notebooks and collaborate within the Kaggle community.
  • To apply model tuning and optimization strategies for achieving high accuracy.
  • To build confidence in participating in global data science challenges.

Course Prerequisite

  • Basic understanding of mathematics and statistics (mean, median, probability, etc.)
  • Familiarity with Python programming language
  • Fundamental knowledge of data analysis and visualization concepts

Course Target Audience

  • Data Science Enthusiasts
  • Machine Learning Engineers
  • AI Researchers and Developers
  • Data Analysts and Business Analysts
  • Python Programmers
  • Statisticians and Mathematicians
  • Research Scholars and Academicians
  • IT Professionals transitioning to Data Science
  • Students pursuing Computer Science or Data Analytics
  • Professionals preparing for Kaggle Competitions
  • Data Engineers and BI Professionals
  • Professionals seeking careers in Artificial Intelligence and Big Data

Course Content

  • Overview of Kaggle
  • Kaggle categories and performance tiers

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  • Overview of Kaggle competitions
  • Competition formats
  • Joining a Kaggle competition
  • Forming a team

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  • Kaggle types of datasets
  • Searching and creating datasets
  • Organizing and collaborating

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  • Kaggle kernel types
  • Searching for kernels
  • Kernel editor and data sources
  • Collaborating on kernels

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  • Installing and authenticating
  • Using Kaggle API with competitions
  • Using Kaggle with datasets
  • Creating and maintaining datasets
  • Using Kaggle API with kernels
  • Pushing and pulling a kernel
  • Checking the status and output of a kernel
  • Creating and running a new kernel
  • Kaggle configurations

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Kaggle Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Kaggle Corporate Training

Employee training and development programs are essential to the success of businesses worldwide. With our best-in-class corporate trainings you can enhance employee productivity and increase efficiency of your organization. Created by global subject matter experts, we offer highest quality content that are tailored to match your company’s learning goals and budget.

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Customized Training

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360º Learning Solution

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Learning Assessment

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Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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Kaggle Training FAQ's

Kaggle Training by Multisoft Systems is a hands-on program designed to teach data science, machine learning, and AI concepts through real-world datasets and Kaggle competitions.

Students, working professionals, data enthusiasts, and anyone interested in data science or machine learning can join this training.

Basic Python knowledge is recommended, but beginners can also join as the course starts with foundational programming concepts.

You’ll work on Kaggle Notebooks, Python, and essential data science libraries like pandas, NumPy, scikit-learn, and Matplotlib.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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