Data Analysis using Python by Mohamed Ramy Mahjoub Data Analysis using Python by Mohamed Ramy Mahjoub
Data Analysis using PythonMohamed Ramy Mahjoub
I offer a comprehensive data analysis services tailored to your specific needs, utilizing advanced techniques and industry-standard tools like Seaborn, Matplotlib, NumPy, and Pandas.

What's included

Data Analysis Report
Description: A comprehensive report detailing the analysis performed on the dataset provided by the client. Format: PDF format. Quantity: 1 final report. Revisions: Up to 2 rounds of revisions based on client feedback.
Machine Learning Model:
Description: A predictive model developed using machine learning algorithms to address the specific problem defined in the project scope. Format: Python code (Jupyter Notebook) and a trained model file (e.g., pickle or joblib). Quantity: 1 final version of the model. Revisions: 1 round of model refinement based on client feedback, if necessary.
Data Visualization Dashboard:
Description: An interactive dashboard showcasing key insights and visualizations derived from the data analysis. Format: Web-based dashboard (e.g., using Plotly Dash or Tableau) or static visualizations (e.g., in PDF or image format). Quantity: 1 final version of the dashboard. Revisions: Up to 2 rounds of revisions based on client feedback
Starting at$25 /hr
Tags
Matplotlib
pandas
Python
seaborn
Data Analyst
Data Scientist
Data Visualizer
Service provided by
Data Analysis using PythonMohamed Ramy Mahjoub
Starting at$25 /hr
Tags
Matplotlib
pandas
Python
seaborn
Data Analyst
Data Scientist
Data Visualizer
I offer a comprehensive data analysis services tailored to your specific needs, utilizing advanced techniques and industry-standard tools like Seaborn, Matplotlib, NumPy, and Pandas.

What's included

Data Analysis Report
Description: A comprehensive report detailing the analysis performed on the dataset provided by the client. Format: PDF format. Quantity: 1 final report. Revisions: Up to 2 rounds of revisions based on client feedback.
Machine Learning Model:
Description: A predictive model developed using machine learning algorithms to address the specific problem defined in the project scope. Format: Python code (Jupyter Notebook) and a trained model file (e.g., pickle or joblib). Quantity: 1 final version of the model. Revisions: 1 round of model refinement based on client feedback, if necessary.
Data Visualization Dashboard:
Description: An interactive dashboard showcasing key insights and visualizations derived from the data analysis. Format: Web-based dashboard (e.g., using Plotly Dash or Tableau) or static visualizations (e.g., in PDF or image format). Quantity: 1 final version of the dashboard. Revisions: Up to 2 rounds of revisions based on client feedback
$25 /hr