2 open source projects by TatevKaren

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

✭ 65

Jupyter Notebook python r scala machine-learning datascience xgboost recommendation-system kmeans lda data-science-portfolio decision-tree linear-discriminant-analysis lda-model movie-recommender

2. mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

✭ 56

r python bootstrap clustering linear-regression pca-analysis probability-distribution dimensionality-reduction monte-carlo-simulation rejection-sampling importance-sampling regression-analysis data-imputation inverse-transform-method factor-analysis-methods statistcal-tests canonical-correlation

1-2 of 2 user projects