This is a repository of the projects I worked on or currently working on. It is updated regularly. I also have the Jupyter Notebook version of some of my Kaggle kernels here.
- CommonLit Readability - EDA & RoBERTa TF baseline [link]
- Keywords(Text data, Deep learning, Transformers)
- Cassava Leaf Disease - TPU Tensorflow - Training [link]
- Cassava Leaf Disease - TPU Tensorflow - Inference [link]
- Cassava Leaf Disease - Training with TPU v2 Pods [link]
- Cassava Leaf Disease - TPU v2 Pods - Inference [link]
- Cassava Leaf - Supervised Contrastive Learning [link]
- Cassava-Supervised Contrastive Learning-Inference [link]
- Cassava Leaf Disease - CycleGAN data augmentation [link]
- Cassava Leaf Disease-Stratified TFRecords 256x256 [link]
- Keywords(Computer vision, Deep learning, Cassava, GPU, TPU, Supervised Contrastive Learning, GAN, CycleGAN, TFRecord)
- Rainforest-Audio classification Tensorflow starter [link]
- Rainforest-Audio classification TF Improved [link]
- Keywords(Audio data, Computer vision, Deep learning, Spectrogram)
- Introduction to CycleGAN - Monet paintings. [link]
- Improving CycleGAN - Monet paintings. [link]
- Monet paintings (Berkeley) - TFRecords 256x256. [link]
- Monet paintings - TFRecords 256x256. [link]
- Keywords(Computer vision, Deep learning, GAN, CycleGAN, Art, Paintings)
SIIM-ISIC Melanoma Classification [Link for the complete project repository]
- Melanoma Classification - SHAP model explained. [link]
- Melanoma Classification - Augmentations EDA. [link]
- Keywords(Computer vision, Deep learning, CNN, Transfer learning, Medical images, Melanoma detection, Object classification)
Tweet Sentiment Extraction [Link for the complete project repository]
- Tweet Sentiment Extraction - EDA and baseline. [link]
- Keywords(NLP, Deep learning, Transformer, Transfer learning, Question answering)
Jigsaw Multilingual Toxic Comment Classification [Link for the complete project repository]
- Jigsaw - TPU optimized training loops. [link]
- Jigsaw Classification - DistilBERT with TPU and TF. [link]
- Keywords(NLP, Deep learning, Transformer, Transfer learning, TPU, Classification)
- Flower Classification with TPUs - EDA and Baseline. [link]
- Flower with TPUs - Advanced augmentation. [link]
- Flower with TPUs K-Fold optimized training loops. [link]
- Bug report unavailableerror socket closed. [link]
- Keywords(Image, Deep learning, DenseNet, EfficientNet, Transfer Learning, Data augmentation, K-Fold, EDA, TPU, Tensorflow)
TensorFlow 2.0 Question Answering [Link for the complete project repository]
- Google QUEST - EDA and USE Baseline. [link]
- Keywords(NLP, Deep learning, Universal sentence encoder, transfer learning, EDA)
- Using TF 2.0 w/ Bert on NQ - (translated to TF2.0). [link]
- TF2.0 Baseline w/ BERT - (translated to TF2.0). [link]
- Keywords(NLP, Deep learning, BERT, transfer learning, Natural question, Open question)
Understanding Clouds from Satellite Images [Link for the complete project repository]
- Understanding Clouds - EDA and Keras U-Net. [link]
- Cloud Segmentation with utility scripts and Keras. [link]
- cloud images segmentation utillity script. [link]
- Keywords(Script, Keras, EDA, Deep Learning, Transfer learning, U-Net, Image segmentation)
APTOS 2019 Blindness Detection [Link for the complete project repository]
- APTOS Blindness Detection - EDA and Keras ResNet50. [link]
- Diabetic retinopathy - SHAP model explainability. [link]
- (175th place) 5-Fold EfficientNetB5. [link]
- Keywords(SHAP, Model explainability, EDA, Deep Learning, Image, Multi-class, Transfer learning, Health care, Classification)
Jigsaw Unintended Bias in Toxicity Classification [Link for the complete project repository]
- Toxicity Bias - extensive EDA and Bi LSTM. [link]
- Keywords(EDA, Deep Learning, Bidirectional GRU, Sequence, NLP, Classification)
iMet Collection 2019 - FGVC6 [Link for the complete project repository]
- iMet Collection 2019 - EDA & Keras. [link]
- iMet - Keras pretrained model as feature extractor. [link]
- Keywords(Deep Learning, CNN, Transfer learning, Image, Multi-label classification)
Microsoft Malware Prediction [Link for the complete project repository]
- EDA, data cleaning and feature visualization with LGB model classification part 1. [link]
- EDA, data cleaning and feature visualization part 2. [link]
- Keywords(LGBM, EDA, classification)
Instant Gratification [Link for the complete project repository]
- Instant Gratification - Deep Learning. [link]
- Ensembling and evaluating Magic models. [link]
- Keywords(EDA, Deep Learning, Emsembling, Classification)
KaggleCareerCon2019 [Link for the complete project repository]
- Deep Learning Helping Navigate Robots. [link]
- Keywords(EDA, Deep Learning, MLP, Time-series, Multi-class classification)
Google Analytics Customer Revenue Prediction [Link for the complete project repository]
- EDA, feature engineering and selection, Keras deep learning revenue prediction.
- EDA, feature engineering and selection, LGBM revenue prediction.
- Keywords(Deep learning, MLP, LGBM, EDA, Regression)
New York City Taxi Fare Prediction [Link for the complete project repository]
- Keras MLP Regression.
- Tensorflow (estimator API) MLP Regression (end-to-end tensorflow project).
- Keywords(Deep learning, MLP, Embedding, Regression)
- Model stacking (catboost, random forest and knn) time-series forecasting regression.
- MLP using features encoded by a LSTM autoencoder and LSTM model time-series forecasting regression.
- Keywords(Catboost, Random forest, KNN, Linear regression, Ensemble, Model stacking, MLP, LSTM, Autoencoder, Sklearn, Time-series, EDA, Regression)
Store Item Demand Forecasting Challenge [Link for the complete project repository]
- Spark used to process the data and Keras deep learning recurrent neural networks for time series regression. [link]
- MLP, CNN, LSTM, CNN-LSTM models and framing of time-series problem for forecasting regression. [link]
- Keywords(Spark, Ml pipeline, Time-series preprocess, Deep learning, MLP, CNN, LSTM, CNN-LSTM, Time-series, Regression)
Titanic: Machine Learning from Disaster [Link for the complete project repository]
- Naive Bayes classification [didactic code]. [link]
- Tensorflow (core API) MLP classification. [link]
- XGBoost classification and machine learning insights (Permutation Importance, Partial Dependence Plots, SHAP Values) [didactic code]. [link]
- Keywords(Tensorflow, Sklearn, Deep learning, MLP, Naive Bayes, XGBoost , ML insights, Classification)
- Keras deep learning CNN classification.
- Clean and pre process large csv files.
- Competition EDA.
- Converting drawings to numpy arrays.
- Keywords(Deep learning, CNN, EDA, Classification)
- Deep learning CNN for image classification. [link]
- Keywords(Deep learning, CNN, Image classification)
House Prices: Advanced Regression Techniques [Link for the complete project repository]
- EDA, feature correlation, selection, engineering and visualization. [link]
- Tensorflow (core API) MLP Regression. [link]
- Keywords(Tensorflow, R, Deep learning, MLP, EDA, Regression)
