Phoenix - Your AI AssistantData Cleaning, Preprocessing & Data Science On Large Datasets
Delivery in
3 days
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What you get with this Offer
Are you struggling with messy, inconsistent, or unstructured data? I will help you clean, preprocess, and prepare your datasets so they are ready for analysis, modeling, or business intelligence.
With my expertise in Data Science, Machine Learning, and Big Data Engineering, I deliver:
1. Cleaning and preprocessing large datasets (missing values, duplicates, outliers)
2. Standardizing and transforming data for ML/AI applications
3. Feature engineering and dimensionality reduction
4. Applying advanced preprocessing models (scaling, encoding, normalization, etc.)
5. Data validation to ensure accuracy and quality
5. Handling structured and unstructured data (CSV, JSON, SQL, Excel, APIs, etc.)
Whether you need your data prepared for machine learning models, analytics dashboards, or reporting systems, I provide efficient, accurate, and scalable solutions tailored to your needs.
With my expertise in Data Science, Machine Learning, and Big Data Engineering, I deliver:
1. Cleaning and preprocessing large datasets (missing values, duplicates, outliers)
2. Standardizing and transforming data for ML/AI applications
3. Feature engineering and dimensionality reduction
4. Applying advanced preprocessing models (scaling, encoding, normalization, etc.)
5. Data validation to ensure accuracy and quality
5. Handling structured and unstructured data (CSV, JSON, SQL, Excel, APIs, etc.)
Whether you need your data prepared for machine learning models, analytics dashboards, or reporting systems, I provide efficient, accurate, and scalable solutions tailored to your needs.
What the Freelancer needs to start the work
To begin work on your project, please provide:
1. Your dataset (CSV, Excel, SQL dump, JSON, or other format).
2. Details of issues or goals (e.g., missing values, duplicates, outliers, specific cleaning rules).
3. Intended use of the cleaned data (analytics, reporting, ML model training, business insights, etc.).
4. Any preferred tools or formats for delivery (Excel, cleaned CSV, database upload, etc.).
5. Special instructions (column names to keep/remove, custom transformations, scaling/encoding preferences).