Kaggle Courses and Certifications

Rob Mulla

Kaggle Competition Starter Notebook Walkthrough

Learn to create a starter notebook for a Kaggle competition, covering feature engineering, cross-validation, and LightGBM modeling. Gain practical insights from a Kaggle Grandmaster on predictive modeling and Python coding.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Open Data Science

ODSC West 2015 - Anthony Goldbloom - "Kaggle- The Home of Data Science"

Explore Kaggle's role in data science, machine learning competitions, and innovative approaches to problem-solving with insights from CEO Anthony Goldbloom.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Jeff Heaton

Introduction to Kaggle for Data Science Competitions - Lecture 8.1

Learn to navigate Kaggle competitions, understand public and private leaderboards, and prepare for a custom dataset assignment using Large Language Models in this data science and machine learning guide.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Jeff Heaton

Kaggle Notebooks - Introduction to Cloud-Based Data Science Platforms

Explore Kaggle notebooks for seamless data access, free GPU usage, and efficient machine learning model development without complex local setups.

• YouTube
• 13 minutes
• On-Demand
• Free Video

Kaggle Data Science Competition Course - Solve Three Challenges Step-by-Step

Enhance data science skills through step-by-step solutions to three Kaggle challenges: advanced regression, Titanic dataset, and Spaceship Titanic. Gain practical insights and improve machine learning techniques.

• freeCodeCamp
• 1 hour 35 minutes
• On-Demand
• Free Video

Fast-tracking Your AI Career with Kaggle - A Guide to Data Science Success

Master data science career advancement through Kaggle's ecosystem - compete in challenges, access cutting-edge models, and build essential skills while connecting with a global community of AI practitioners.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Winning a Kaggle Competition in Python

Learn how to approach and win competitions on Kaggle.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

How to Start a Career in Data Science

514 ratings at Udemy

The Ultimate Guide to Starting a Data Science Career: Create a Project Portfolio, Build Your Resume, Get an Interview

• Udemy
• 4 hours 17 minutes
• On-Demand
• Paid Course

H2O.ai

H2O Gen AI Ecosystem Overview - Level 2

Dive into H2O's GenAI platform's advanced capabilities, from data preparation to model deployment, guided by Kaggle Grand Master Sanyam Bhutani through practical techniques and real-world applications.

• Coursera
• 1 hour 11 minutes
• On-Demand
• Free Online Course (Audit)

H2O.ai

H2O Hydrogen Torch Starter Course

Master deep learning without coding - build computer vision, NLP, and audio models using H2O Hydrogen Torch. Learn dataset handling, model tuning, and real-world applications through hands-on experimentation.

• Coursera
• 2 hours 17 minutes
• On-Demand
• Free Online Course (Audit)

Abhishek Thakur

Text Extraction From a Corpus Using BERT - Question Answering

Learn to extract text from tweets using BERT for sentiment analysis. Hands-on tutorial covers data preparation, model implementation, and evaluation for Kaggle competition.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

Edan Meyer

Can OpenAI Codex Compete in an ML Competition?

Explore OpenAI Codex's capabilities in ML competitions, examining its LSTM approach for a Kaggle challenge and assessing its performance against human competitors.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Nvidia

Boosted Trees and Deep Neural Networks for Better Recommender Systems

Explore GPU-accelerated boosted trees and deep neural networks for building winning recommender systems, featuring insights from Kaggle Grandmasters on the ACM RecSys Challenge.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Nicholas Renotte

Build a ML Classification Model in 12 Lines with PyCaret

Learn to rapidly build and evaluate a heart disease prediction model using PyCaret, a low-code ML library. Covers data loading, model training, testing, and saving in just 12 lines of code.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Rob Mulla

Detect Text in Images with Python - Pytesseract vs. EasyOCR vs. Keras OCR

Comprehensive comparison of pytesseract, easyocr, and keras_ocr for extracting text from images using Python, with practical examples and performance analysis.

• YouTube
• 22 minutes
• On-Demand
• Free Video