M.I. Journal

Tag: Machine-Learning

57 items with this tag.

Oct 05, 2025
Explored Regression Techniques for MSE-Trained Ensembles
Oct 05, 2025
Revamped ML Project Structure and Data Pipeline
Sep 24, 2025
Prepared strategies for interview and fraud prevention
Sep 04, 2025
Designed ETL and Data Processing Frameworks
Aug 20, 2025
Comprehensive Review and Categorization of Academic Papers
Aug 19, 2025
Consolidated and Exported Socioeconomic Data to CSV
Jul 15, 2025
Comprehensive Evaluation of Classifier Models
Jul 15, 2025
Implemented Data Reconciliation and Machine Learning Setup
Jul 15, 2025
Optimized Multi-Output Classification with XGBoost
Jul 15, 2025
Refactored Machine Learning Models for Improved Evaluation
Jun 26, 2025
Analyzed Bias-Variance Tradeoff in Decision Trees
Jun 24, 2025
Analyzed classification and regression model metrics
Jun 24, 2025
Completed Conceptual Mapping for Machine Learning
Jun 24, 2025
Organized and Updated Machine Learning Concept Maps
Jun 23, 2025
Evaluated and Enhanced Educational Materials for Data Science
Jun 19, 2025
Developed and Evaluated AI Model Rubrics
Jun 18, 2025
Comprehensive Analysis and Improvement of ER Models
Jun 18, 2025
Developed and Evaluated Academic Data Exercises
Jun 17, 2025
Integrating ROC and sklearn for educational insights
Apr 04, 2025
Explored Autoencoders for Dimensionality Reduction
Mar 10, 2025
Developed Data Science Exercise Catalog
Mar 01, 2025
Enhanced NER with Optimized Transformers and Tokenization
Feb 27, 2025
Developed Socioeconomic Embedding and Thesis Supervision Plan
Feb 23, 2025
Developed AI Task Prioritization and Course Automation
Feb 21, 2025
Refactored FAISS pipeline and improved data retrieval
Feb 21, 2025
Revamped Data Science Curriculum for Future Skills
Jan 29, 2025
Developed Advanced Academic Productivity Workflows
Oct 17, 2024
Developed Comprehensive Academic Curriculum Plans
Oct 06, 2024
Enhanced Machine Learning Model Evaluation and Improvement
Oct 05, 2024
Developed Email Categorization System with NLP
Sep 25, 2024
Automated Book Content Generation for GCP
Aug 11, 2024
Integrated GitHub Actions for Poverty Atlas Project
Jul 12, 2024
Comprehensive BERT Model Training and Evaluation
Jul 07, 2024
Structured Data Engineering and Machine Learning Encyclopedia
Jun 05, 2024
Developed Comprehensive Data Engineering Textbook
May 26, 2024
Enhanced GitHub Actions and Data Processing
Apr 23, 2024
Developed and Organized Diamond Pricing Web App
Apr 19, 2024
Enhanced Flask API with MLflow integration
Apr 19, 2024
Resolved Plot Display and 404 Errors in Flask Application
Apr 18, 2024
Developed Machine Learning Pipeline for Diamond Pricing
Apr 18, 2024
Enhanced Diamond Pricing Application with MLOps
Apr 14, 2024
Debugging and Resolving ML and Web Errors
Apr 14, 2024
Refactored and enhanced API retraining endpoint
Apr 13, 2024
Enhanced Dynamic Model Retraining and API Integration
Apr 13, 2024
Implementing and Troubleshooting Model Pipelines
Apr 12, 2024
Developed and Troubleshot Machine Learning Pipeline
Apr 12, 2024
Refactored Diamond Pricing Model with MLOps Integration
Apr 07, 2024
Developed MLOps strategy for diamond pricing app
Apr 06, 2024
Developed and Tested Flask API for Model Predictions
Apr 06, 2024
Enhanced Diamond Price Prediction API Architecture
Apr 06, 2024
Planned MVP Development for Machine Learning API
Apr 04, 2024
Developed REST API for Machine Learning Integration
Feb 15, 2024
Explored Redis for Vector Similarity in AI Applications
Jun 22, 2023
Developed comprehensive data science course outlines
May 30, 2023
Collaborative Project Labeling and Economic Impact Analysis
Feb 25, 2023
Implemented Random Forest Regressor and Data Cleaning Techniques
Jan 12, 2023
Hyperparameter tuning for Random Forest model

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