Developed ML Model and Restructured Git Repository

📅 2024-04-12 — Session: Developed ML Model and Restructured Git Repository

🕒 19:25–20:10
🏷️ Labels: Machine Learning, Git, Model Training, Hyperparameter Tuning, Python
📂 Project: Dev
⭐ Priority: MEDIUM

The session aimed to develop a machine learning model using the diamonds dataset and restructure the Git repository for better project management.

Model Development Plan: Outlined a structured plan for developing a machine learning model with sections on data preprocessing, incremental model training, evaluation, and production issues.
Git Repository Restructure: Followed a step-by-step guide to organize and update the Git repository, including adding and removing files, and managing commits and pushes.
Git Error Resolution: Troubleshot and resolved the Git error ‘fatal: couldn’t find remote ref localdev’ by checking remote branches and handling merge conflicts.
Branch Integration: Integrated the local Git branch with remote repositories using options for pushing, merging, or rebasing changes.
Commit History Viewing: Used git log to view and customize commit logs.
Model Training Code Revision: Revised code for model training using SGDRegressor, including data preprocessing and model evaluation.
FileNotFoundError Resolution: Resolved a FileNotFoundError in Python by understanding file paths and checking the current working directory.
Project Directory Setup: Set a default project directory in Python scripts using the os module.
Grid Search Setup and Analysis: Set up GridSearchCV for hyperparameter tuning of SGDRegressor and analyzed results to draw insights on model performance.

Successfully developed a comprehensive plan for the machine learning model.
Restructured the Git repository for improved version control and project management.
Resolved multiple Git errors and integrated branches effectively.
Revised model training code and set up hyperparameter tuning with GridSearchCV.