You will get Data Cleaning & ML Dataset Preparation
Project details
This project is a demonstration of my end-to-end Machine Learning expertise using the Ames Housing Dataset. It showcases how I approach a real-world regression problem — from raw, messy data to a production-ready predictive model.
What I demonstrated here reflects my core strengths:
→ Data Cleaning & Imputation — handling missing values with domain logic
→ Outlier Detection & Capping — IQR-based robust preprocessing
→ Exploratory Data Analysis — 160+ visualizations for deep insights
→ Feature Engineering & Encoding — ordinal, binary & one-hot encoding
→ Multicollinearity Analysis — VIF-based feature selection
→ Model Building & Comparison — 6 models tested and evaluated
→ Cross-Validation — 5-fold CV confirming generalization
→ Best Result: Gradient Boosting achieving R² = 0.93
If you have a similar data problem — regression, prediction, classification, or exploratory analysis — I can build the same structured, well-documented pipeline for your dataset and business requirements.
This is what I bring to every project: clarity, depth, and results.
What I demonstrated here reflects my core strengths:
→ Data Cleaning & Imputation — handling missing values with domain logic
→ Outlier Detection & Capping — IQR-based robust preprocessing
→ Exploratory Data Analysis — 160+ visualizations for deep insights
→ Feature Engineering & Encoding — ordinal, binary & one-hot encoding
→ Multicollinearity Analysis — VIF-based feature selection
→ Model Building & Comparison — 6 models tested and evaluated
→ Cross-Validation — 5-fold CV confirming generalization
→ Best Result: Gradient Boosting achieving R² = 0.93
If you have a similar data problem — regression, prediction, classification, or exploratory analysis — I can build the same structured, well-documented pipeline for your dataset and business requirements.
This is what I bring to every project: clarity, depth, and results.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$12
|
Standard
$26
|
Advanced
$48
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Frequently asked questions
About Shivam
Data Cleaning, ML Dataset Prep Expert | Python | Pandas | Scikit-learn
Noida, India - 5:42 am local time
With a background spanning data analytics and applied machine learning — including deep learning-based defect detection systems (PyTorch, CNNs) for manufacturing clients, and campaign performance analytics with dashboards in Tableau and Power BI — I bring practical, real-world experience to every data project, not just theoretical knowledge.
I can help with:
Data cleaning and formatting
Missing value handling and outlier detection
Data preprocessing for machine learning
Exploratory Data Analysis (EDA)
CSV/Excel dataset preparation
Pandas, NumPy, and Scikit-learn-based workflows
I focus on delivering clean, well-documented datasets that are ready for analysis or modeling — with clear communication and on-time delivery every time.
Tools: Python, Pandas, NumPy, Scikit-learn, Jupyter Notebook, Matplotlib, Tableau, Power BI
Currently completing my MSc in Data Science & AI from BITS Pilani, adding academic rigor to hands-on project experience.
Steps for completing your project
After purchasing the project, send requirements so Shivam can start the project.
Delivery time starts when Shivam receives requirements from you.
Shivam works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1
Client shares their dataset and project requirements or confirms use of a similar structured dataset.
Step 2
I perform complete data cleaning — missing value handling, outlier detection, feature engineering and transformation.