Data Science Portfolio

Welcome to My Data Science World!

All machine learning notebook & MLOps Projects:

🦆 Kaggle:

https://www.kaggle.com/kritsadakruapat

🐶 DagsHub:

https://dagshub.com/kkowenn

🤗 HuggingFace:

https://huggingface.co/kritsadaK

Machine learning Projects:

Project 1: Machine learning without any library:

https://github.com/kkowenn/ManualMachineLearning

Project 2: The Feature Importance score from a decision tree model:

https://github.com/kkowenn/FastworkAnalysisProject

Project 3: Manual algorithm cosin similarity:

https://www.kaggle.com/code/kritsadakruapat/cosin

Deep learning Projects:

Project 1: Optimizing Performance Metrics to find the best possible combination of hyperparameters to achieve the highest performance. (before tuning vs after tuning)

https://github.com/kkowenn/DataSciencePortfilo/blob/main/Schooltask(WineQuality)/Wine_Quality.ipynb

Project 2: Data Augmentation to Fix Overfitting (nlp and computer vision)

https://github.com/yamerooo123/Political-Fake-News-Detector-NLP

https://www.kaggle.com/code/kritsadakruapat/cnnchangedatacolor-notjustred

Project 3: Comparing Regression Models + Exploratory Data Analysis(EDA)

https://www.kaggle.com/code/kritsadakruapat/comparing-regression-models

Project 4: Transfer Learning with ResNet-50 & MobileNetV2 and etc.

https://www.kaggle.com/code/kritsadakruapat/simpletransferlearning-resnet50-unsatisfied

https://www.kaggle.com/code/kritsadakruapat/mobilenetv2-image-classification

Project 5: RNN model (Vanilla RNN, LSTM, GRU, and Bidirectional RNN) converted text to numbers, and tried different model types (RNN) to see which performed best.

https://www.kaggle.com/code/kritsadakruapat/rnnmodelcomparison?scriptVersionId=182686891

Project 6: Applying model on web, draw digits on a canvas and classify them using a pre-trained convolutional neural network (CNN) model by using the MNIST dataset.

https://github.com/kkowenn/DigitRecognitionWeb

Computer Vision Projects:

Project 1: using 3D pose to detect arm to overlay tattoo filter:

https://huggingface.co/spaces/kritsadaK/TattooPoseOverlay

https://github.com/kkowenn/ComputerVisionProject

Project 2: simple yolov (object detection)

https://github.com/kkowenn/SimpleYolov

fall detection capture when detect fall

https://github.com/kkowenn/Fall-Detection

MLflow Projects:

Project 1: Deployment model on Amazon Bucket(s3):

Machine learning model -> Mlflow -> Amazon Web Services

https://dagshub.com/dashboard

https://dagshub.com/kkowenn/DeploymentOnAWSProject1.mlflow/#/experiments/0?searchFilter=&orderByKey=attributes.start_time&orderByAsc=false&startTime=ALL&lifecycleFilter=Active&modelVersionFilter=All+Runs&datasetsFilter=W10%3D

Project 2: Dogecoin Minutely Prediction:

Data Collection (API binance) & Preprocessing -> Model Training & Experiment Tracking (MLFlow) -> Version Control & Pipeline Management (DVC)

https://dagshub.com/kkowenn/End-to-endDogecoinMinutelyPrediction

Project 3: Thailand PM10 Prediction App (stream lit track Log experiments by mlflow )

url(Open Government Data of Thailand) -> mini ETL -> basic ARIMA model -> streamlit display & choose location to predict-> Experiment Tracking -> Version Control & Pipeline Management (DVC)

https://dagshub.com/kkowenn/OpendatathaiMLflow

https://huggingface.co/spaces/kritsadaK/ThailandPM10PredictionApp2022

Big data analysis:

Scala Projects:

https://github.com/kkowenn/Basic_Scala_ForBigData

Hadoop Projects:

https://github.com/kkowenn/Simple-Hadoop-Recommendation

ETC:

Web Scraping with Python Project:

https://github.com/kkowenn/MyScrapingProject