November 2020 – Machine Learning Geek

December 11, 2023

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Editorial Staff November 16, 2020December 4, 2020 0 Comments Julia Programming, Why learn Julia?

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

Machine Learning Python

Pallavi Pandey November 7, 2020December 11, 2020 0 Comments gridsearch, hyperparameter tuning, python, scikit-learn

Grid Search in scikit-learn

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

Machine Learning Python

Pallavi Pandey November 6, 2020October 30, 2020 0 Comments cross validation, data science, Machine learning, python, scikit-learn

Cross-Validation in scikit-learn

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

Machine Learning Python

Pallavi Pandey November 5, 2020October 30, 2020 0 Comments data normalization, feature scaling, minmax, python, robust, scikit-learn, standard

Feature Scaling: MinMax, Standard and Robust Scaler

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

Machine Learning Python

Pallavi Pandey November 4, 2020October 30, 2020 0 Comments boosting, data science, ensemble technique, Machine learning, xgboost

XGBoost Algorithm using Python

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

Machine Learning Python

Pallavi Pandey November 3, 2020October 30, 2020 0 Comments data science, isolation forest, Machine learning, outlier detection, python

Outlier Detection using Isolation Forests

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

Machine Learning

Pallavi Pandey November 2, 2020October 30, 2020 0 Comments bagging, boosting, data science, ensemble technique, Machine learning

Introduction to Ensemble Techniques: Bagging and Boosting

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

NLP Text Analytics

Avinash Navlani November 1, 2020June 14, 2021 0 Comments lsa, nlp, python, Text Analytics, topic modelling

Discovering Hidden Themes of Documents

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