I will analyze and visualize your data using python and pandas

M
mathank23
M
mathank23
Julio Cesar Val
Einige Informationen werden in englischer Sprache angezeigt.
analyze and visualize your data using python and pandas
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analyze and visualize your data using python and pandas
Vollbild
Vollbild
analyze and visualize your data using python and pandasanalyze and visualize your data using python and pandasanalyze and visualize your data using python and pandas

Über diesen Service

Do you have a dataset but don't know how to turn it into useful insights?

I will analyze, clean, and visualize your data using Python and Pandas, helping you understand your data and identify important patterns and trends.

My data analysis service includes:

Data cleaning and preprocessing

Exploratory Data Analysis (EDA)

Missing value and duplicate handling

Statistical analysis

Data visualization

Pattern and trend identification

Correlation analysis

Business insights and recommendations

A clean and documented Jupyter Notebook

I can work with CSV, Excel, and other structured datasets.

Tools I use:

Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, and SQL.

Whether you need a quick analysis or a complete exploratory data analysis, I will provide clean, organized, and easy-to-understand results.

Please contact me before ordering if your dataset is large or your project requires specific analysis.

  • Anwendung

    • Seaborn

  • Diagrammtyp

    • Verteilung

Lerne Julio Cesar Val kennen

Julio Cesar Val

Data Scientist

5,0(1)
  • AusMexiko
  • Mitglied seitJuli 2022
  • ⌀ Antwortzeit1 Stunde
  • Letzte Lieferung4 Jahre

  • Sprachen

    Spanisch, Englisch
I’m a Data Scientist specializing in Python, Data Analysis, Machine Learning, and predictive modeling. My services include: • Data cleaning and preprocessing • Exploratory Data Analysis (EDA) • Data visualization • Python and Pandas data analysis • SQL data analysis • Predictive Machine Learning models • Classification and regression • Customer churn prediction • Customer segmentation • Recommendation systems • Computer Vision and Deep Learning • Machine Learning APIs with FastAPI • Interactive ML applications with Streamlit • Model deployment with AWS SageMaker

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