You will get data science and analysis projects in python


Project details
As a Python Data Analyst, I specialize in delivering impactful analytics and data science projects. With expertise in Python and a comprehensive set of visualization skills, including Matplotlib, Seaborn and Plotly, scikit-learn I have a proven track record of creating captivating visual representations of data. Whether performing statistical analyses, implementing machine learning algorithms, or generating interactive dashboards, I have the skills to unlock the true potential of your data. Let’s collaborate and embark on a data-driven journey to drive informed decision-making and achieve meaningful results.
Skills: Python, Data Analysis, Data Science, matplotlib, Seaborn, Plotly, Statistical Analysis, Machine Learning, Streamlit, Interactive Dashboards
#python
#dataanalysis
#datascience
#excel
#Streamlit
I am open to accepting personalized offers from you! YOU
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Skills: Python, Data Analysis, Data Science, matplotlib, Seaborn, Plotly, Statistical Analysis, Machine Learning, Streamlit, Interactive Dashboards
#python
#dataanalysis
#datascience
#excel
#Streamlit
I am open to accepting personalized offers from you! YOU
still have a question?
Contact me Thanksmore about product details
Machine Learning Tools
PythonWhat's included $60
These options are included with the project scope.
$60
- Delivery Time 5 days
- Number of Revisions 1
- Number of Graphs/Charts 6
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Additional Graph/Chart
(+ 2 Days)
+$15About Sofiane
Data Analyst (Python & Power BI)
Boumerdas, Algeria - 11:58 am local time
Steps for completing your project
After purchasing the project, send requirements so Sofiane can start the project.
Delivery time starts when Sofiane receives requirements from you.
Sofiane works on your project following the steps below.
Revisions may occur after the delivery date.
Steps
1. Receiving customer requirements and files 2. Planning 3. Data preparation 4. Data analysis 5. Development and design 6. Creating visualizations 7. Testing and validation 8. Review and adjustments 9. Delivery 10. Approval and payment



