Luckshitha Premkumar

Correlation analysis and Feature Engineering Export

Export Results to Multiple Formats

Final Model Recommendation and Summary Report

Model Complexity and Trade-off Analysis

Cross-Validation Results and Statistical Significance Testing

Validation Curves for Hyperparameters

cross validation

Cross-Validation Setup and Imports

Model Diagnostics and Validation

Completed my day

completed working on Ensemble Methods

ensemble model graph

Feature Importance Analysis

Model Performance Comparison and Visualization

model performance graph

Continuation of last commit

Optimizing Runtime

Model Training and Hyperparameter Optimization

Data Preprocessing Pipeline and Model Implementation

worked on Exploratory Data Analysis and Correlation Analysis { yesterday forgot commit also }

worked on Categorical Feature Analysis and Advanced Feature Engineering { today }

committed everything

quick devlog for sticker and tell what i done at my next devlog

new idea got into my mind tried many dataset and finalized a particular data set who knows how this project is going to come

Model Deployment Preparation and Final Recommendations

working on model deployment

Model Interpretability with SHAP and LIME

Model interpretability graph

Learning Curves and Model Diagnosis

learning curve graph

Model Robustness and Cross-Validation Analysis

Model robustness analysis

Ensemble Methods and Model Stacking

Feature Importance and Model Interpretability

Model Evaluation and Comparison

Reduced Runtime and Increased Accuracy

Model Training and Hyperparameter Optimization

Model Definition and Hyperparameter Grids

Preprocessing Pipeline Setup , Feature Selection and Dimensionality Analysis

Feature Engineering and Exploratory Data Analysis Dashboard

data analysis graphs

Distribution Analysis , Correlation Analysis , Statistical Significance Testing

Data distribution graph to understand the data

Data Overview , Data Quality Assessment

data statistics

Initial notebook structure with basic imports

Created Webapp 2 , updated readme , deployed to streamlit online

completed this project

created webapp 1.py

PKL file for Webapp 2

PKL file for Webapp 1

Export to pkl file and Compress Exported Data to Zip

Export of Predictions Report

Export of Dataset Analysis Report

Export of Model Performance Report

Export of Predictions json and Model Config json

Export model performance json and Dataset analysis json file

Export to txt code

Continuation of Last Commit

Export to CSV code

Processing to Export , Feature Important Analysis

Feature drift detection for future data

forgot to add devlog created webapp 2 and submitted the project for athena

Generate summary statistics

Generate Future Prediction

energy consumption forecast , temperature vs predicted energy consumption and more graphs

Ensemble Methods and Model Deployment Preparation

Model Interpretation and Explanation , Feature interaction analysis , Business insights and recommendations

the server was down so unable to upload devlog

for 1.5 to 1.7 hrs : worked on Model Diagnostics and Residual Analysis

for remaining hrs : Learning Curves and Model Validation

top 10 features by correlation with target

Feature Importance Analysis

completing my day

Ensemble Methods Implementation , Model Evaluation and Performance Metrics

performance ranking

Adding MLPRegressor and Adaboost Model

website issue so unable to post devlogs

worked on Model Initialization , Model Training and Hyperparameter Optimization

Statistical Tests for Normality and Relationships , Train-Test Split and Preprocessing Pipeline Setup

Data Visualization Dashboard

working on graphs

Statistical Summary , Feature Engineering

Initial notebook structure with basic imports

forgot to add devlog yesterday created model.pkl for webapp 2 and webapp 1.py

Created model.pkl file for webapp 1

launched Webapp 2 and submitted the project

Launched Webapp 1

Working on model.pkl file for webapplication 2

model.pkl file made for webapp

Json and Extra Files and file Tweeks

Working on Detailed analysis.html

Improving UI , Last commit Continuation

Export to Html code

working on html stuffs

Export to txt

Export to CSV , Final Conclusion and Recommendation

Model Summary and Recommendations

deployed online

Model Deployment Preparation and Validation

working on model deployment

Reduced Runtime for Hyperparameter Optimization and Model Selection

Hyperparameter Optimization and Model Selection

Cross-Validation and Robustness Analysis

Solving Error on Learning Graph

Adding More graphs for Further analysis

Residuals vs Predicted vs actual graph

Model Interpretability and SHAP Analysis

Advanced Visualization and Analysis

Reduced Complexity to Reduce runtime but it also Reduced Accuracy and Performance

Optimizing runtime in Ensemble Methods and Stacking coz it takes more than 6 hrs to complete the run but still no output

Reduced Runtime , Model Evaluation and Comparison

solving major issues coz code is not executing

Restructure of Ensemble Methods and Stacking to Reduce Runtime

Ensemble Methods and Stacking

Model Training , Hyperparameter Optimization , Feature Selection and Importance Analysis

Model Definition and Hyperparameter Spaces

Multiple Preprocessing Pipelines , Train-Test Split and Data Preparation

Advanced Feature Engineering , Polynomial Features and Interaction Terms

Data Visualization Dashboard

Data Quality Assessment , Statistical Analysis and Distribution Testing

first devlog with planning and initial setup

final post after completing this project

working on final tweeks so that its easy for uploading online

Json and Excel files

Models and Data

Html Reports and code Restructured

got an unknown error so im still working on it

Export Results to Multiple Formats

Model versioning and rollback system

AB testing framework for model updates

Model Monitoring Simulation

Sample Prediction Demonstration

batch prediction demonstration

Production Deployment Framework and Monitoring

need some more time to work on this

Training stability analysis

Cross-Validation Deep Dive and Model Validation

Prediction explanation for sample cases

Model Interpretability and SHAP Analysis

working on model interpretability

Final Model Selection and Business Insights

Structrural improvement with Ensemble Methods and Advanced Model Combination

gradient boosting model prediction and confidence interval

error distribution , learning curve and complexity vs performance

Error distribution analysis

Statistical comparison of top models and Visualization Dashboard

working on statistical testing

working on Model Evaluation and Statistical Analysis

worked on Model Training and Evaluation

Data Preprocessing , Scaling , Model Definition and Hyperparameter Spaces

worked on Feature Engineering and Data Visualization Dashboard

comparing feature engineering values and optimizing

worked on Statistical Tests , Distribution Analysis , Correlation and Relationship Analysis

worked on Data Exploration and its graphical stuffs

first devlog on this project initial setup