scikit-learn – Machine Learning Geek

Decision Tree Classification in Python

February 26, 2021February 24, 2021 Avinash Navlani 0 Comments data science, decision tree, Machine learning, python, scikit-learn

Learn Decision Tree Classification, Attribute Selection Measures, Build and Optimize Decision Tree Classifier using the Python Scikit-learn package. As a

NLP Text Analytics

Latent Semantic Indexing using Scikit-Learn

January 27, 2021January 24, 2021 Avinash Navlani 0 Comments lsa, scikit-learn, topic modelling

In this tutorial, we will focus on Latent Semantic Indexing or Latent Semantic Analysis and perform topic modeling using Scikit-learn.

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

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

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

Machine Learning Python

Dimensionality Reduction using tSNE

October 28, 2020October 25, 2020 Pallavi Pandey 0 Comments dimensionality reduction, python, scikit-learn, tsne, unsupervised learning

tSNE stands for t-distributed Stochastic Neighbor Embedding. It is a dimensionality reduction technique and is extremely useful for visualizing datasets