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1. image-classification-AlexNet-vs-DenseNet-vs-ResNet-vs-From-Scratch image-classification-AlexNet-vs-DenseNet-vs-ResNet-vs-From-Scratch Public

   Compare various models, one from scratch(keras) and three pretrained : AlexNet, ResNet, DenseNet models (Pytorch) to choose the best model for classification.

   Jupyter Notebook

2. Flask-API-deploying-a-model-into-production Flask-API-deploying-a-model-into-production Public

   This repository describes the steps taken to deploy a model trained and tested with scikit-learn python library. This model predicts if a given song is of type "Rock" or "Hip-Hop" based on certain …

   Python

3. Kaggle-titanic-survival-prediction Kaggle-titanic-survival-prediction Public

   Prediction of survival using sklearn XGBoost

   Jupyter Notebook

4. Classifying-Songs-Genres-From-Audio-Data Classifying-Songs-Genres-From-Audio-Data Public

   Exploring a music dataset by examining correlations between numerical variables, running a principal component analysis for dimensionality reduction and finally fitting both scikit learn Decision T…

   Jupyter Notebook 1

5. Time-series-power-consumption-forecasting Time-series-power-consumption-forecasting Public

   Using a SARIMA model to predict electrical power consumption

   Jupyter Notebook