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hshadman / 2d_conformational_landscape_map

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Use PyConforMap to generate a simple scatter plot to map conformational landscapes of intrinsically disordered proteins, and quantify conformational diversity.

data-science protein-structure jupyter-notebook data-visualization python3 data-structures polymer-chain protein data-visualisation molecular-dynamics-simulation scipy scatter-plot matplotlib monte-carlo-simulation conformational-analysis object-oriented-programming scatterplot-visualization intrinsically-disordered polymer-physics pearson-correlation-coefficient
  • Updated Apr 30, 2024
  • Jupyter Notebook

sagarikamehta / Exploratory-Data-Analysis-on-The-World-Happiness-Report-Datasets

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Performed exploratory data analysis (EDA) in python on the world happiness report datasets (for years 2015, 2016, 2017, 2018, and 2019) from Kaggle; to analyze how measurements of well-being can effectively help assess the progress of nations across the world.

python data-science numpy scikit-learn exploratory-data-analysis pandas seaborn supervised-learning data-analysis matplotlib unsupervised-learning statistical-graphics hierarchical-clustering k-means-clustering simple-linear-regression information-design plotly-python interactive-data-visualization pearson-correlation-coefficient
  • Updated Jan 19, 2022
  • Python

Lefteris-Souflas / Multiple-Regression-Project

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Analysis of real estate sales data. Tasks include understanding dataset structure, variable conversion, descriptive analysis, pairwise comparisons, linear relationship analysis, multiple regression modeling, feature selection using stepwise methods, final model summary, assumptions checking, and LASSO variable selection. Results are documented.

visualization r feature-selection lasso-regression pairwise-comparison multiple-regression descriptive-analysis pearson-correlation-coefficient runs-test durbin-watson-test stepwise-selection assumption-testing linear-relationship
  • Updated Apr 15, 2024
  • R

yelloejp / Uni_Projects

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Projects of Machine learning and Deep learning

nlp machine-learning natural-language-processing text-classification tensorflow word2vec word-embeddings wordnet image-classification document-classification convolutional-neural-networks corpus-data distance-measures kmeans-clustering time-series-analysis glove-embeddings dynamictimewarp graph-based-model word2vec-embeddinngs pearson-correlation-coefficient
  • Updated Nov 24, 2020
  • Jupyter Notebook

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