1littlecoder Courses

Amazon SageMaker Studio Lab Tutorial - Google Colab Alternative

Learn to use Amazon SageMaker Studio Lab, a free tool for machine learning and data science with Jupyter notebooks, Python, R, and GPU support. Explore its features and advantages over alternatives.

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

Numerizer - Spacy Powered Streamlit Deployed on Hugging Face - Applied NLP Tutorial

Learn to convert English numbers to numeric values using Numerizer, build a Streamlit app, and deploy it on Hugging Face Spaces. Gain practical NLP skills through hands-on Python coding and web app development.

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

AutoXGB - Automated ML with XGBoost + Optuna + FastAPI - Kaggle Demo

Explore AutoXGB, a Python library for automated machine learning using XGBoost, Optuna, and FastAPI. Learn its parameters and application in a Kaggle competition.

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

Streamlit ML Web App Deploy on Hugging Face Spaces with Github Actions

Learn to deploy Streamlit ML web apps on Hugging Face Spaces using GitHub Actions. Covers workflow setup, code editing with GitHub.dev, and continuous deployment for efficient ML app hosting.

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

Understanding SHAP Summary Plot - Interpretable Machine Learning - Day 19

Explore SHAP and Shapley values for interpretable machine learning, focusing on summary plots and dependence plots to enhance model explainability and insights.

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

Data Storytelling with ComicStrips - Using ComicGen and Google Sheets

Create engaging data comic strips using Gramener's ComicGen and Google Sheets, enhancing your storytelling skills with visual narratives.

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

SHAP and Shapley Values for Interpretable Machine Learning - Kaggle 30 Days of ML Day 18

Explore SHAP and Shapley Values for interpretable machine learning. Learn local interpretation techniques, Python implementation, and visualization methods for explainable AI.

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

Partial Dependence Plots in Machine Learning Explainability - Day 17 of Kaggle's 30 Days of ML

Explore Partial Dependence Plots for interpretable machine learning. Learn to visualize, build, and interpret PDPs, including 2D plots, to enhance model explainability and insights.

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

Feature Importance in Machine Learning - Permutation Importance with ELI5

Explore permutation importance in machine learning, understanding its significance and application through hands-on examples using ELI5 for Random Forest models.

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

Interpretable Machine Learning Use-Cases - Kaggle 30 Days of ML Day 15

Explore machine learning explainability, interpretability, and use cases for model insights. Learn about feature importance, debugging, and building trust in AI systems.

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

Scikit-Learn Pipeline and Cross-Validation - Day 13 of 30 Days of ML

Learn advanced machine learning techniques with Scikit-Learn, focusing on pipelines for organized code and cross-validation for improved model performance evaluation. Part of a 30-day ML challenge.

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

Kaggle 30 Days of ML - Day 12 - Missing Values and Categorical Variables

Explore missing values and categorical variables in machine learning, learning practical approaches to handle data imperfections and enhance model performance.

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

Kaggle Competition Submission - Learn Python ML in 30 Days - Day 11

Learn to participate in machine learning competitions on Kaggle. Create and submit predictions, improving your skills through hands-on practice in a real-world competitive environment.

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

Overfitting, Underfitting, and Random Forests in Machine Learning - Day 10

Explore overfitting, underfitting, and random forests in machine learning. Learn to build accurate models and apply these concepts to improve your ML skills.

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

Building Your First Machine Learning Model and Model Validation - Day 9

Learn to build and validate your first machine learning model using scikit-learn. Explore techniques for handling large datasets, selecting features, and evaluating model performance through hands-on exercises.

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