×
Create CV Books Summaries Online Courses Blog Communities

Login

Sign up
MindLuster Logo
Categories
Recent

Join Our Telegram Channel Now to Get Any New Free Courses : Click Here

Data science with kaggle

Track :

Computer Science
Course Presenter :

ProgrammingKnowledge

Lessons no : 4

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Master data manipulation and visualization using Pandas, NumPy, Matplotlib, and Seaborn in Kaggle notebooks
  • Apply data cleaning, missing value handling, and preprocessing techniques for accurate analysis and modeling
  • Build, evaluate, and optimize machine learning models with Scikit-learn for real-world data challenges
  • Share, collaborate, and showcase data science projects on Kaggle to enhance professional portfolio and community engagement

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 4


We Appreciate Your Feedback

Be the First One Review This Course

Excellent
0 Reviews
Good
0 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
0
0 Reviews

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

Related Courses

Linear Algebra for Computer Scientists
7 Lessons

Linear Algebra for Computer Scientists

Insertion Sort
3 Lessons

Insertion Sort

Bubble Sort
4 Lessons

Bubble Sort

GCSE Computer Science
18 Lessons

GCSE Computer Science

Random Access Memory
7 Lessons

Random Access Memory

Binary Trees
4 Lessons

Binary Trees

Bitwise Operators
4 Lessons

Bitwise Operators

Introduction to Stacks Data Structures
17 Lessons

Introduction to Stacks Data Structures

Organization Theory Structure and Design
41 Lessons

Organization Theory Structure and Design

Handling Large Scale Unit Level Data
41 Lessons

Handling Large Scale Unit Level Data

Introduction to Machine Learning
19 Lessons

Introduction to Machine Learning

Applied Linear Algebra Vectors Matrices
54 Lessons

Applied Linear Algebra Vectors Matrices

Artificial Intelligence beginners
1 Lessons

Artificial Intelligence beginners

Machine Learning Autumn 2018
1 Lessons

Machine Learning Autumn 2018

Robotics and Autonomous Systems
15 Lessons

Robotics and Autonomous Systems

Natural Language Understanding
15 Lessons

Natural Language Understanding

Data science with kaggle, in this course introduces you to the practical world of data analysis and machine learning using the Kaggle platform. You’ll learn how to use Kaggle Notebooks to write and execute Python code in the cloud without installation. The course covers essential libraries like Pandas, NumPy, Matplotlib, and Seaborn for data manipulation and visualization. You’ll explore techniques for cleaning datasets, handling missing values, and building predictive models using Scikit-learn. Through guided projects and real-world competitions, you’ll gain hands-on experience solving data challenges and analyzing public datasets. The course also teaches you how to share your work, collaborate with others, and build a Kaggle profile that showcases your data science skills to employers and the global data community. ProgrammingKnowledge