Skip to content

MatthewK84/LinkedIn-Learning-Journey

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

130 Commits
.devcontainer
.devcontainer
 
 
.github/workflows
.github/workflows
 
 
AdventofCode2024
AdventofCode2024
 
 
examples
examples
 
 
nbs/docs/models
nbs/docs/models
 
 
samples
samples
 
 
A Fuzzy K-Nearest Neighbor Algorithm.pdf
A Fuzzy K-Nearest Neighbor Algorithm.pdf
 
 
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector.pdf
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector.pdf
 
 
ARXIV_Conformal_Prediction.ipynb
ARXIV_Conformal_Prediction.ipynb
 
 
ARXIV_Conformal_Prediction_Revised.ipynb
ARXIV_Conformal_Prediction_Revised.ipynb
 
 
ARXIV_Time_Series.ipynb
ARXIV_Time_Series.ipynb
 
 
ARXIV_Time_Series_Final.ipynb
ARXIV_Time_Series_Final.ipynb
 
 
Bias, Fairness, and Accountability with AI and ML Algorithms.pdf
Bias, Fairness, and Accountability with AI and ML Algorithms.pdf
 
 
Cocktails.ipynb
Cocktails.ipynb
 
 
Curl.c
Curl.c
 
 
Darts Time Series.pdf
Darts Time Series.pdf
 
 
Designing Inherently Interpretable Machine Learning Models.pdf
Designing Inherently Interpretable Machine Learning Models.pdf
 
 
Discriminatory Analysis. Nonparametric Discrimination- Consistency Properties.pdf
Discriminatory Analysis. Nonparametric Discrimination- Consistency Properties.pdf
 
 
DriveOS.drawio
DriveOS.drawio
 
 
Forecasting Literature Review.pdf
Forecasting Literature Review.pdf
 
 
Fuzzy.pdf
Fuzzy.pdf
 
 
Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data.pdf
Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data.pdf
 
 
Hierarchical Time Series Forecasting in Emergency Medical Services.pdf
Hierarchical Time Series Forecasting in Emergency Medical Services.pdf
 
 
Improving Out of Sample Forecasts With Forecast Reconciliation and Clustering.pdf
Improving Out of Sample Forecasts With Forecast Reconciliation and Clustering.pdf
 
 
KnightsTour.py
KnightsTour.py
 
 
Logs.py
Logs.py
 
 
Low Code AutoML Augmented Data Pipelines.pdf
Low Code AutoML Augmented Data Pipelines.pdf
 
 
MAPIE and CREPES.pdf
MAPIE and CREPES.pdf
 
 
MAPIE- Open Source Library for Uncertainty Quantification.pdf
MAPIE- Open Source Library for Uncertainty Quantification.pdf
 
 
MWIR_Super_Resolution_Mathematical_Recovery_Handout.md
MWIR_Super_Resolution_Mathematical_Recovery_Handout.md
 
 
MachineLearningProject.md
MachineLearningProject.md
 
 
Midterm Report.drawio
Midterm Report.drawio
 
 
Model Selection In Reconciling Hierarchical Time Series.pdf
Model Selection In Reconciling Hierarchical Time Series.pdf
 
 
Network.py
Network.py
 
 
Pipeline Toolkit for Medical Time Series.pdf
Pipeline Toolkit for Medical Time Series.pdf
 
 
Plotly.py
Plotly.py
 
 
PyCaret Global Mean Temperature Prediction.pdf
PyCaret Global Mean Temperature Prediction.pdf
 
 
PyCaret Prediction of Fraction Unbound in Human Plasma.pdf
PyCaret Prediction of Fraction Unbound in Human Plasma.pdf
 
 
README.md
README.md
 
 
Ridge Regression- Applications to Nonorthogonal Problems.pdf
Ridge Regression- Applications to Nonorthogonal Problems.pdf
 
 
SVG.py
SVG.py
 
 
Selecting the Right Time Series Methodology.pdf
Selecting the Right Time Series Methodology.pdf
 
 
Self Driving Car.drawio
Self Driving Car.drawio
 
 
Simple_Moving_Average.ipynb
Simple_Moving_Average.ipynb
 
 
Testing_for_a_Unit_Root_in_a_Time_Series.pdf
Testing_for_a_Unit_Root_in_a_Time_Series.pdf
 
 
Tetris.py
Tetris.py
 
 
The Data Science Design Manual.pdf
The Data Science Design Manual.pdf
 
 
The Harm of Class Imbalance Corections for Risk Prediction.pdf
The Harm of Class Imbalance Corections for Risk Prediction.pdf
 
 
UASReport.py
UASReport.py
 
 
UseCase.drawio
UseCase.drawio
 
 
Why Backtesting Matters and How to Do It Right _ by Davide Burba _ Jul, 2023 _ Towards Data Science.pdf
Why Backtesting Matters and How to Do It Right _ by Davide Burba _ Jul, 2023 _ Towards Data Science.pdf
 
 
YOLO_NAS_POSE_Inference_Quick_Start.ipynb
YOLO_NAS_POSE_Inference_Quick_Start.ipynb
 
 
advanced-pyspark-for-exploratory-data-analysis.ipynb
advanced-pyspark-for-exploratory-data-analysis.ipynb
 
 
arxiv_time_series_data.csv
arxiv_time_series_data.csv
 
 
conformal_prediction_data.csv
conformal_prediction_data.csv
 
 
conformal_prediction_data_filtered_final.csv
conformal_prediction_data_filtered_final.csv
 
 
gpt_online.ipynb
gpt_online.ipynb
 
 
insurance.py
insurance.py
 
 
network_data.csv
network_data.csv
 
 
pong.py
pong.py
 
 
requirements.txt
requirements.txt
 
 
risk.py
risk.py
 
 
robotics_study_guide.md
robotics_study_guide.md
 
 
time_series_filtered.csv
time_series_filtered.csv
 
 
time_series_filtered.xlsx
time_series_filtered.xlsx
 
 
traffic_data.csv
traffic_data.csv
 
 

Repository files navigation

Learning Journey

License: MIT Maintenance

Overview

Welcome to my professional journey!

Focus Areas

1. Time Series Forecasting

  • Advanced forecasting methodologies.
  • Statistical analysis and modeling.
  • Machine learning applications in time series.
  • Real world implementation cases.

2. Open Source Software Packages

  • Contributing to community projects.
  • Package development and maintenance.
  • Documentation and best practices.
  • Code quality and testing frameworks.

3. Peer Reviewed Research Articles

  • Literature review and analysis.
  • Implementation of research findings.
  • Critical evaluation of methodologies.
  • Research-based improvements.

4. Systems Engineering Knowledge

  • Architecture design patterns.
  • System integration strategies.
  • Performance optimization.
  • Scalability considerations.

Contact

Last Updated: December 2025

About

Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.

Topics

machine-learning systems-engineering time-series-analysis pythonprogramming

Resources

Readme
Activity

Stars

31 stars

Watchers

3 watching

Forks

1 fork
Report repository

Releases

No releases published

Packages

 
 
 

Contributors

Languages