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I will do python data analysis, machine learning, and data visualization
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Hi, I'm Shahzad Ali, a Computer Science Developer specializing in Python, Data Science, Machine Learning, and Web Development. Certified in AI & Datacom, I create custom Python applications, data-driv...
Over deze dienst
Are you looking for an expert Python developer to extract insights from your dataset or build predictive Machine Learning models? As a Computer Science graduate certified in AI & Data Science, I transform raw data into clean, actionable business solutions.
Services Offered:
- Data Preprocessing & Cleaning: Handling missing values, outliers, duplicates, and data formatting.
- Exploratory Data Analysis (EDA): Uncovering hidden patterns, correlations, and key statistical insights.
- Data Visualization: Generating high-quality charts using Matplotlib, Seaborn, and Plotly.
- Machine Learning Pipelines: Training Classification, Regression, and Clustering models using Scikit-Learn.
- Model Optimization & Evaluation: Hyperparameter tuning, accuracy metrics, and confusion matrix analysis.
Tools & Technologies:
- Environments: Python, Jupyter Notebook, VS Code, Google Colab.
- Libraries: Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn.
Why Work With Me?
- 100% clean, well-commented Jupyter Notebook source code.
- Certified expertise in AI & Data Science with a strong CS background.
- Fast turnaround and clear project communication.
Please contact me before placing an order to review your dataset and discuss.
Programmeertaal:
Python
•
SQL
Frameworks:
Scikit-learn
•
Panda
•
Overige
Tools:
Jupyter-notitieboek
•
Excel
•
Colab
•
Overige
Veelgestelde vragen
What dataset formats do you work with?
I accept CSV, Excel (.xlsx, .xls), JSON, SQL database files, TSV, and TXT files. If your data is in another format, feel free to message me first!
Will I receive the complete source code?
Yes, you will get the fully documented, 100% commented source code in a Jupyter Notebook (.ipynb) or clean Python script (.py) depending on your preference.
What if my dataset is messy or has missing values?
Data preprocessing and cleaning (handling missing values, outliers, duplicate removal, and encoding) are included in all packages before performing any analysis or machine learning modeling.
Can you explain the final insights and model performance to me?
Absolutely! I provide clear visualization graphs and a summary report explaining key trends, model accuracy, confusion metrics, and practical conclusions.
How should we begin our project?
Simply click the "Contact Me" button, attach your dataset (or a sample), and briefly describe what problem you want to solve or what insights you need.
