Deep Learning Nanodegree Project : To generate Simpsons TV scripts using part of the Simpsons data-set of scripts from 27 seasons.

we fit various splines to model the COVID-19 daily positive case numbers in Florida from 3/3/20 – 3/7/21.

PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition

Predicting building heating and cooling loads from it's architectural features using ML and utilizing MLflow for experiment tracking.

Implement an algo trading strategy that uses machine learning to automate the trade decisions

A Predictive Model for Marketing Campaigns

Memprediksi skor kredit untuk calon peminjam di Home Credit menggunakan supervised Machine Learning Model (Logistic Regression dan Decisien Tree). Bahasa pemrograman data science yang digunakan adalah Python. Berdasarkan proses data science diperoleh model terbaik adalah Logistic Rgresion dengan acuuracy dan evaluasi metrik kurang lebih 60%.

Machine Learning Hyper-parameter Tuning processes

Modified gap statistic (gap-com) for regularization selection of sparse networks. This method is aimed for complex network estimation.

Optimizing-Hyperparameters-Using-Grid-Search-Deep-Learning

Dataset preprocessed, tuned and trained using Support Vector Machine

Implementation of Deep-learning techniques in pytorch

Breast Cancer Prediction

Este proyecto, desarrollado como parte del trabajo final de la carrera de Data Science de CODERHOUSE, aborda el desafío de prever la cantidad de ítems que una empresa de ventas de insumos venderá en los próximos meses.

XTune: A custom python wrapper for XGBoost and LightGBM with numerous utility functions to prevent silly gotchas and save time!

House Price Prediction done on Bangalore House Price Dataset using Random Forest Regression with Hyper Parameter Tuning.

Creating a good Convolutional Neural Network to classify our data. I used Model Checking to save the best model and VGG16 and ResNet50 to leverage pre-trained models. I ultimately used pre-trained models to fine tune a model.