dipesh88 / 365-Days-of-AI

Documenting my AI journey

365-Days-of-AI 🤖🙌

Documenting my AI journey :D

For now (the next few months), I will mainly be following Alexey's ML ZoomCamp along with Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow.

Other than that, I will document my side projects as well as ML and DL topics that I learn about.

ZoomCamp Plan

Id	Module Session	Progress
01	Introduction to Machine Learning	✅
02	Machine Learning for Regression	✅
03	Machine Learning for Classification	✅
04	Evaluation Metrics for Classification	✅
05	Deploying Machine Learning Models	❌
5b	Bento ML	❌
06	Decision Trees and Ensemble Learning	❌
07	Midterm Project	❌
07	Midterm Project Evaluation	❌
08	Neural Networks and Deep Learning	❌
09	Serverless Deep Learning	❌
10	Kubernetes and TensorFlow-Serving	❌
11	Kubeflow and KFServing	❌
12	Capstone Project	❌
12	Capstone Project Evaluation	❌
13	The third Project	❌
13	The third Project Evaluation	❌
14	Article	❌

ZoomCamp Repo

Week 1

• Day 1
  • Introduction to Machine Learning
  • Week 1 ZoomCamp HW
• Day 2
  • Car Price Prediction Project - 1
    • Data preparation
    • Exploratory Data Analysis (EDA)
    • Setting up the validation framework
  • Notebook
• Day 3
  • Car Price Prediction Project - 2
    • Linear Regression
  • Notebook
• Day 4
  • Car Price Prediction Project - 3 (final)
    • Evaluating the model with RMSE
    • Simple Feature Engineering
    • Regularization
    • Tuning the Model
  • Notebook
  • Week 2 ZoomCamp HW
• Day 5
  • Mean Absolute Error
• Day 6
  • Customer Churn Prediction Project - 1
    • Data Preparation
    • Setting Up the Validation Framework
    • EDA
    • Feature Importance: Churn Rate and Risk Ratio
    • Feature Importance: Mutual Information
    • Feature Importance: Correlation Coefficient
  • Notebook
• Day 7
  • Customer Churn Prediction Project - 2 (final)
    • One-hot Encoding
    • Logistic Regression
  • Notebook
  • Week 3 ZoomCamp HW

Week 2

• Day 8
  • Evaluation Metrics for Classification - 1
    • Accuracy
    • Confusion Matrix
    • Precision
    • Recall
• Day 9
  • Evaluation Metrics for Classification - 2
    • ROC Curve
    • AUC-ROC Curve
    • Cross Validation
    • Accuracy
• Day 10