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I will analyze and visualize data using python and machine learning
India
Ik spreek Engels
AI , Full Stack Developer Python, React , Machine Learning
Hi, I'm Harshavardhan — a Python & AI Developer building AI/ML models,
chatbots, REST APIs, and full-stack web apps.I work with TensorFlow, PyTorch, Hugging Face, FastAPI, React.js, Node.js, and Mong...
Over deze dienst
Do you have survey data or a dataset that needs clear analysis and useful insights?
I will analyze and visualize your data using Python and machine learning techniques to help you understand patterns, trends, and key findings.
My services include:
Data cleaning and preprocessing
Statistical and descriptive analysis
Data visualization with clear charts and graphs
Trend and pattern identification
Regression and predictive analysis
Machine learning analysis where suitable
Key insights and summary of findings
I work with Python, Pandas, NumPy, Matplotlib, Jupyter Notebook, Google Colab, Excel, SQL, and machine learning tools.
You will receive clean analysis, meaningful visualizations, and easy-to-understand insights based on your requirements.
Please contact me before ordering for large, complex, or custom datasets so I can review your requirements and recommend the right package.
Veelgestelde vragen
What type of data can you analyze?
I can analyze survey data, Excel files, CSV datasets, and structured data. Please contact me before ordering if your dataset is large or complex.
Which tools do you use?
I use Python, Pandas, NumPy, Matplotlib, Jupyter Notebook, Google Colab, Excel, SQL, and machine learning tools depending on the project.
Can you clean my data before analysis?
Yes. I can handle missing values, duplicates, formatting issues, and basic preprocessing before starting the analysis.
Do you provide charts and visualizations?
Yes. I provide clear charts and visualizations to explain trends, patterns, and key findings in your data.
Can you build a machine learning model?
Yes, when suitable for the dataset and project requirements. Please message me before ordering a machine learning project.
