GitHub / ashu-2808 / Data-Science-using-Python
Detailed Data Science using Python-Jupyter Notebook ( Data Analysis using Pandas and NumPy, Visualization using plotly express, Exploratory Data Analysis, Supervised ML models: Linear Regression, KNN, Logistic Regression, Support Vector Machine, Decision Trees Ensemble Models: Voting Bootstrap/ Bagging Aggregation, Unsupervised: K-Means
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PURL: pkg:github/ashu-2808/Data-Science-using-Python
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License: None
Language: Jupyter Notebook
Size: 8.62 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: almost 2 years ago
Topics: bootstrap, data-science-python, ensemble-model, exploratory-data-analysis, jupyter-notebook, kmeans-clustering, knearest-neighbor-classification, linear-regression, logistic-regression, random-forest, sckiit-learn, supervised-learning, support-vector-machines, unsupervised-learning, voting