Posts
Landed my first Internship!
PEY Co-op at Kijiji as a Data Analyst InternRead More →
Random Forest model to forecast energy consumptions
Tree-based forecastingRead More →
Changes to blog + R -> Python
Changing the content to post for my blog and using Python for forecastingRead More →
Exponential Smoothing / ETS model forecasting
ETS Models and model selection for forecastingRead More →
Regression Model Forecasting, Scenario based forecasting, Non-Linear Regression Models
Forecasting with regression and non-linear regressionRead More →
Time Series Regression Models
Linear regression models and Predictive AccuracyRead More →
Autocorrelation, White Noise, and Box-Cox Transformations
Notes from learning time series forecastingRead More →
PyTorch - Coffee Bean Classifier Project ☕️
Computer Vision problem using PyTorch and transfer learningRead More →
PyTorch - Classification with Nerual Networks
Binary and multi-class classificationRead More →
Summer Break
Start of summer break and goalsRead More →
Intro into Neural Networks
Building a MLP based of Andrej Karpathy's microgradRead More →
Weekly Update
Updates for Week 13Read More →
Weekly Update
Updates for Week 11Read More →
Clarke Prize Design Challenge
Participating in a hackathonRead More →
Weekly Update
Updates for Week 3Read More →