ML Archives - Rahul Aggarwal's EdTech

Major Algorithms for Dimensionality Reduction are: Linear Methods: PCA (Principal Component Analysis) Eigen Decomposition SVD (Singular Value Decomposition) NMF (Non-Negative Matrix Factorization) ICA (Independent Component Analysis) LDA (Linear Discriminant Analysis)

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UnSupervised Machine Learning

Big Data Analytics, Data Science, guradiancoder, machine learning, Unsupervised ML

anomaly detection, apriori algorithm, collaborative filtering, Data Science, dimensionality reduction, k means clustering, machine learning, market basket analysis, ML, PCA, Python

Here we only have Features but don’t have any Target column in our dataset, hence its known as UnSupervised ML. It’s more complex as compared to Supervised ML, and also

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Ensemble Models

Data Science, ensemble models, machine learning, supervised models

Data Science, ensemble models, machine learning, ML

Types of Ensemble Models: Bagging Models Random Forest ExtraTree Classifier/Regressor Boosting Models AdaBoost (Adaptive Boosting) GBM (Gradient Boosting Machine) XGBoost (Xtreme Gradient Boosting) LightGBM CatBoost Stacking Models BAGGING MODELS All

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Statistics for Every Data Scientist

Data Science, Deep Learning, machine learning, supervised models

AI, Data Science, machine learning, ML, statistics

Statistics is the foundation for every Data Scientist. Without good Stats knowledge, its difficult to comprehend the internal working and inferencing power of any Machine Learning model. Statistics is the art of

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