├── .github └── workflows │ └── starter.yml ├── A Fuzzy K-Nearest Neighbor Algorithm.pdf ├── A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector.pdf ├── ARXIV_Conformal_Prediction.ipynb ├── ARXIV_Conformal_Prediction_Revised.ipynb ├── ARXIV_Time_Series.ipynb ├── ARXIV_Time_Series_Final.ipynb ├── AdventofCode2024 ├── AdventofCode2024.ipynb ├── day1.txt ├── day10.txt ├── day11.txt ├── day12.txt ├── day13.txt ├── day14.txt ├── day15.txt ├── day16.txt ├── day2.txt ├── day3.txt ├── day4.txt ├── day5.txt ├── day6.txt ├── day7.txt ├── day8.txt └── day9.txt ├── Bias, Fairness, and Accountability with AI and ML Algorithms.pdf ├── Cocktails.ipynb ├── Curl.c ├── Darts Time Series.pdf ├── Designing Inherently Interpretable Machine Learning Models.pdf ├── Discriminatory Analysis. Nonparametric Discrimination- Consistency Properties.pdf ├── DriveOS.drawio ├── Forecasting Literature Review.pdf ├── Fuzzy.pdf ├── Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data.pdf ├── Hierarchical Time Series Forecasting in Emergency Medical Services.pdf ├── Improving Out of Sample Forecasts With Forecast Reconciliation and Clustering.pdf ├── KnightsTour.py ├── Logs.py ├── Low Code AutoML Augmented Data Pipelines.pdf ├── MAPIE and CREPES.pdf ├── MAPIE- Open Source Library for Uncertainty Quantification.pdf ├── MachineLearningProject.md ├── Midterm Report.drawio ├── Model Selection In Reconciling Hierarchical Time Series.pdf ├── Network.py ├── Pipeline Toolkit for Medical Time Series.pdf ├── Plotly.py ├── PyCaret Global Mean Temperature Prediction.pdf ├── PyCaret Prediction of Fraction Unbound in Human Plasma.pdf ├── README.md ├── Ridge Regression- Applications to Nonorthogonal Problems.pdf ├── SVG.py ├── Selecting the Right Time Series Methodology.pdf ├── Self Driving Car.drawio ├── Simple_Moving_Average.ipynb ├── Testing_for_a_Unit_Root_in_a_Time_Series.pdf ├── Tetris.py ├── The Data Science Design Manual.pdf ├── The Harm of Class Imbalance Corections for Risk Prediction.pdf ├── UASReport.py ├── UseCase.drawio ├── 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 ├── advanced-pyspark-for-exploratory-data-analysis.ipynb ├── arxiv_time_series_data.csv ├── conformal_prediction_data.csv ├── conformal_prediction_data_filtered_final.csv ├── examples └── binary_segmentation_intro.ipynb ├── gpt_online.ipynb ├── nbs └── docs │ └── models │ └── MultipleSeasonalTrend.ipynb ├── network_data.csv ├── pong.py ├── samples ├── Matthew_Kolakowski_NLP_Term_Project.pdf ├── NBA Residency Presentation.pptx ├── NLP_System_Design_Document.pdf └── Readme.md ├── time_series_filtered.csv ├── time_series_filtered.xlsx └── traffic_data.csv /.github/workflows/starter.yml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/.github/workflows/starter.yml -------------------------------------------------------------------------------- /A Fuzzy K-Nearest Neighbor Algorithm.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/A Fuzzy K-Nearest Neighbor Algorithm.pdf -------------------------------------------------------------------------------- /A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector.pdf -------------------------------------------------------------------------------- /ARXIV_Conformal_Prediction.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/ARXIV_Conformal_Prediction.ipynb -------------------------------------------------------------------------------- /ARXIV_Conformal_Prediction_Revised.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/ARXIV_Conformal_Prediction_Revised.ipynb -------------------------------------------------------------------------------- /ARXIV_Time_Series.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/ARXIV_Time_Series.ipynb -------------------------------------------------------------------------------- /ARXIV_Time_Series_Final.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/ARXIV_Time_Series_Final.ipynb -------------------------------------------------------------------------------- /AdventofCode2024/AdventofCode2024.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/AdventofCode2024.ipynb -------------------------------------------------------------------------------- /AdventofCode2024/day1.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day1.txt -------------------------------------------------------------------------------- /AdventofCode2024/day10.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day10.txt -------------------------------------------------------------------------------- /AdventofCode2024/day11.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day11.txt -------------------------------------------------------------------------------- /AdventofCode2024/day12.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day12.txt -------------------------------------------------------------------------------- /AdventofCode2024/day13.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day13.txt -------------------------------------------------------------------------------- /AdventofCode2024/day14.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day14.txt -------------------------------------------------------------------------------- /AdventofCode2024/day15.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day15.txt -------------------------------------------------------------------------------- /AdventofCode2024/day16.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day16.txt -------------------------------------------------------------------------------- /AdventofCode2024/day2.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day2.txt -------------------------------------------------------------------------------- /AdventofCode2024/day3.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day3.txt -------------------------------------------------------------------------------- /AdventofCode2024/day4.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day4.txt -------------------------------------------------------------------------------- /AdventofCode2024/day5.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day5.txt -------------------------------------------------------------------------------- /AdventofCode2024/day6.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day6.txt -------------------------------------------------------------------------------- /AdventofCode2024/day7.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day7.txt -------------------------------------------------------------------------------- /AdventofCode2024/day8.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day8.txt -------------------------------------------------------------------------------- /AdventofCode2024/day9.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/AdventofCode2024/day9.txt -------------------------------------------------------------------------------- /Bias, Fairness, and Accountability with AI and ML Algorithms.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Bias, Fairness, and Accountability with AI and ML Algorithms.pdf -------------------------------------------------------------------------------- /Cocktails.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Cocktails.ipynb -------------------------------------------------------------------------------- /Curl.c: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Curl.c -------------------------------------------------------------------------------- /Darts Time Series.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Darts Time Series.pdf -------------------------------------------------------------------------------- /Designing Inherently Interpretable Machine Learning Models.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Designing Inherently Interpretable Machine Learning Models.pdf -------------------------------------------------------------------------------- /Discriminatory Analysis. Nonparametric Discrimination- Consistency Properties.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Discriminatory Analysis. Nonparametric Discrimination- Consistency Properties.pdf -------------------------------------------------------------------------------- /DriveOS.drawio: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/DriveOS.drawio -------------------------------------------------------------------------------- /Forecasting Literature Review.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Forecasting Literature Review.pdf -------------------------------------------------------------------------------- /Fuzzy.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Fuzzy.pdf -------------------------------------------------------------------------------- /Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data.pdf -------------------------------------------------------------------------------- /Hierarchical Time Series Forecasting in Emergency Medical Services.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Hierarchical Time Series Forecasting in Emergency Medical Services.pdf -------------------------------------------------------------------------------- /Improving Out of Sample Forecasts With Forecast Reconciliation and Clustering.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Improving Out of Sample Forecasts With Forecast Reconciliation and Clustering.pdf -------------------------------------------------------------------------------- /KnightsTour.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/KnightsTour.py -------------------------------------------------------------------------------- /Logs.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Logs.py -------------------------------------------------------------------------------- /Low Code AutoML Augmented Data Pipelines.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Low Code AutoML Augmented Data Pipelines.pdf -------------------------------------------------------------------------------- /MAPIE and CREPES.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/MAPIE and CREPES.pdf -------------------------------------------------------------------------------- /MAPIE- Open Source Library for Uncertainty Quantification.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/MAPIE- Open Source Library for Uncertainty Quantification.pdf -------------------------------------------------------------------------------- /MachineLearningProject.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/MachineLearningProject.md -------------------------------------------------------------------------------- /Midterm Report.drawio: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Midterm Report.drawio -------------------------------------------------------------------------------- /Model Selection In Reconciling Hierarchical Time Series.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Model Selection In Reconciling Hierarchical Time Series.pdf -------------------------------------------------------------------------------- /Network.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Network.py -------------------------------------------------------------------------------- /Pipeline Toolkit for Medical Time Series.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Pipeline Toolkit for Medical Time Series.pdf -------------------------------------------------------------------------------- /Plotly.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Plotly.py -------------------------------------------------------------------------------- /PyCaret Global Mean Temperature Prediction.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/PyCaret Global Mean Temperature Prediction.pdf -------------------------------------------------------------------------------- /PyCaret Prediction of Fraction Unbound in Human Plasma.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/PyCaret Prediction of Fraction Unbound in Human Plasma.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/README.md -------------------------------------------------------------------------------- /Ridge Regression- Applications to Nonorthogonal Problems.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Ridge Regression- Applications to Nonorthogonal Problems.pdf -------------------------------------------------------------------------------- /SVG.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/SVG.py -------------------------------------------------------------------------------- /Selecting the Right Time Series Methodology.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Selecting the Right Time Series Methodology.pdf -------------------------------------------------------------------------------- /Self Driving Car.drawio: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Self Driving Car.drawio -------------------------------------------------------------------------------- /Simple_Moving_Average.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Simple_Moving_Average.ipynb -------------------------------------------------------------------------------- /Testing_for_a_Unit_Root_in_a_Time_Series.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Testing_for_a_Unit_Root_in_a_Time_Series.pdf -------------------------------------------------------------------------------- /Tetris.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/Tetris.py -------------------------------------------------------------------------------- /The Data Science Design Manual.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/The Data Science Design Manual.pdf -------------------------------------------------------------------------------- /The Harm of Class Imbalance Corections for Risk Prediction.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/The Harm of Class Imbalance Corections for Risk Prediction.pdf -------------------------------------------------------------------------------- /UASReport.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/UASReport.py -------------------------------------------------------------------------------- /UseCase.drawio: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/UseCase.drawio -------------------------------------------------------------------------------- /Why Backtesting Matters and How to Do It Right _ by Davide Burba _ Jul, 2023 _ Towards Data Science.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/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: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/YOLO_NAS_POSE_Inference_Quick_Start.ipynb -------------------------------------------------------------------------------- /advanced-pyspark-for-exploratory-data-analysis.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/advanced-pyspark-for-exploratory-data-analysis.ipynb -------------------------------------------------------------------------------- /arxiv_time_series_data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/arxiv_time_series_data.csv -------------------------------------------------------------------------------- /conformal_prediction_data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/conformal_prediction_data.csv -------------------------------------------------------------------------------- /conformal_prediction_data_filtered_final.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/conformal_prediction_data_filtered_final.csv -------------------------------------------------------------------------------- /examples/binary_segmentation_intro.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/examples/binary_segmentation_intro.ipynb -------------------------------------------------------------------------------- /gpt_online.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/gpt_online.ipynb -------------------------------------------------------------------------------- /nbs/docs/models/MultipleSeasonalTrend.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/nbs/docs/models/MultipleSeasonalTrend.ipynb -------------------------------------------------------------------------------- /network_data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/network_data.csv -------------------------------------------------------------------------------- /pong.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/pong.py -------------------------------------------------------------------------------- /samples/Matthew_Kolakowski_NLP_Term_Project.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/samples/Matthew_Kolakowski_NLP_Term_Project.pdf -------------------------------------------------------------------------------- /samples/NBA Residency Presentation.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/samples/NBA Residency Presentation.pptx -------------------------------------------------------------------------------- /samples/NLP_System_Design_Document.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/samples/NLP_System_Design_Document.pdf -------------------------------------------------------------------------------- /samples/Readme.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/samples/Readme.md -------------------------------------------------------------------------------- /time_series_filtered.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/time_series_filtered.csv -------------------------------------------------------------------------------- /time_series_filtered.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/time_series_filtered.xlsx -------------------------------------------------------------------------------- /traffic_data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MatthewK84/LinkedIn-Learning-Journey/HEAD/traffic_data.csv --------------------------------------------------------------------------------