📚 Kaggle Courses Notebooks

This repository showcases my completed Kaggle Notebooks (.ipynb files) from various Kaggle Learn courses. Each notebook contains my solutions and implementations for the official Kaggle exercises, covering a wide range of data science and programming topics.

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📘 Courses Covered

Below are the Kaggle courses I’ve completed, along with direct links to my notebooks and certifications.

• Intro to Programming

  • Exercise: Arithmetic and Variables
  • Exercise: Functions
  • Exercise: Data Types
  • Exercise: Conditions and Conditional Statements
  • Exercise: Intro to Lists
  • Titanic Competition

• Python

  • Exercise: Syntax, Variables, and Numbers
  • Exercise: Functions and Getting Help
  • Exercise: Booleans and Conditionals
  • Exercise: Lists
  • Exercise: Loops and List Comprehensions
  • Exercise: Strings and Dictionaries
  • Exercise: Working with External Libraries

• Pandas

  • Exercise: Creating, Reading and Writing
  • Exercise: Indexing, Selecting & Assigning
  • Exercise: Summary Functions and Maps
  • Exercise: Grouping and Sorting
  • Exercise: Data Types and Missing Values
  • Exercise: Renaming and Combining

• Data Cleaning

  • Exercise: Handling Missing Values
  • Exercise: Scaling and Normalization
  • Exercise: Parsing Dates
  • Exercise: Character Encodings
  • Exercise: Inconsistent Data Entry

• Data Visualization

  • Exercise: Hello, Seaborn
  • Exercise: Line Charts
  • Exercise: Bar Charts and Heatmaps
  • Exercise: Scatter Plots
  • Exercise: Distributions
  • Exercise: Choosing Plot Types and Custom Styles
  • Exercise: Final Project

• Intro to Machine Learning

  • Exercise: Explore Your Data
  • Exercise: Your First Machine Learning Model
  • Exercise: Model Validation
  • Exercise: Underfitting and Overfitting
  • Exercise: Random Forests
  • Exercise: Machine Learning Competitions

• Intro to SQL

  • Exercise: Getting Started With SQL and BigQuery
  • Exercise: Select, From & Where
  • Exercise: Group By, Having & Count
  • Exercise: Order By
  • Exercise: As & With
  • Exercise: Joining Data

• Advanced SQL

  • Exercise: JOINs and UNIONs

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⭐ Overview

This repository serves as both a portfolio of my learning progress and a record of the hands-on practice I’ve done through Kaggle courses. It highlights my journey toward developing core skills in :

• Programming (Python)
• Data handling and analysis
• Data visualization
• Machine learning & Deep Learning fundamentals
• SQL

While the course material itself belongs to Kaggle, the implementations and solutions here reflect my personal understanding and approach.

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🎯 Purpose

I created this repository to :

• Keep track of my progress as I learn through Kaggle
• Reinforce concepts by revisiting solved exercises
• Build a consistent learning habit through practical work
• Share my approach with others who are also learning

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🚀 Next Steps

I plan to extend this repository with more Kaggle courses, including :

• Geospatial Analysis
• Feature Engineering
• Time Series
• Intro to Deep Learning
• Computer Vision
• Intro to Game AI and Reinforcement Learning

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