November 2020 – Machine Learning Geek

A Gentle Introduction to Julia

A bit of history 2010 was a weird time to be a programmer, on one hand, you had just gotten

The performance of our Machine Learning model is largely based on the hyperparameter values for the model. Hence, hyperparameter tuning

Cross-validation is a statistical method used in Machine Learning for estimating the performance of models. It is very important to

Feature Scaling is performed during the Data Preprocessing step. Also known as normalization, it is a method that is used

XGBoost is one of the most popular boosting algorithms. It is well known to arrive at better solutions as compared

For a dataset, an outlier is a data point that behaves differently from the other data points. Outliers cause huge

Ensemble Techniques are Machine Learning techniques that combine predictions from several models to give an optimal model. Several models are

Latent Semantic Analysis using Python Discovering topics are very useful for various purposes such as for clustering documents, organizing online