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Name		Name	Last commit message	Last commit date
Data Analysis with Numpy and Pandas_v2.pdf		Data Analysis with Numpy and Pandas_v2.pdf
EDA_Dataset.xlsx		EDA_Dataset.xlsx
Exploratory data analysis_v2.ipynb		Exploratory data analysis_v2.ipynb
Exploratory data analysis_v2.pdf		Exploratory data analysis_v2.pdf
Mini Project EDA .ipynb		Mini Project EDA .ipynb
Mini Project EDA .pdf		Mini Project EDA .pdf
README.md		README.md
Report.pdf		Report.pdf
Supervised ML_v2.ipynb		Supervised ML_v2.ipynb
Supervised ML_v2.pdf		Supervised ML_v2.pdf
dummy_csv.csv		dummy_csv.csv
iris_csv (1).csv		iris_csv (1).csv
mangoes_basket.xlsx		mangoes_basket.xlsx

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Data-Science-using-Python and Report

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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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

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