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Month: November 2020

Julia 

A Gentle Introduction to Julia

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

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

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Machine Learning Python 

Grid Search in scikit-learn

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

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

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Machine Learning Python 

Cross-Validation in scikit-learn

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

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

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Machine Learning Python 

Feature Scaling: MinMax, Standard and Robust Scaler

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

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

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Machine Learning Python 

XGBoost Algorithm using Python

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

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

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Machine Learning Python 

Outlier Detection using Isolation Forests

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

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

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Machine Learning 

Introduction to Ensemble Techniques: Bagging and Boosting

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

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

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NLP Text Analytics 

Discovering Hidden Themes of Documents

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

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

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