You will get Complete EDA and ML model for predicting house prices using Python.
Project details
I’m a Data Analyst and Machine Learning Developer who helps businesses turn raw data into clear insights, visualizations, and accurate prediction models. I specialize in data cleaning, exploratory data analysis (EDA), and building machine learning models for real-world use cases.
I work with small to medium datasets and deliver clean, well-commented Python notebooks that are easy to understand and reuse. My workflow includes understanding your goals, preparing and exploring your data, visualizing key patterns, and building models that provide practical, actionable value.
What I can help with:
Data cleaning & preprocessing
Exploratory Data Analysis (EDA)
Visualizations (heatmaps, boxplots, histograms, etc.)
Regression & classification models
Feature engineering
Model evaluation & improvement
Clear reports and insights
Tools: Python, Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, Jupyter Notebook
I’ve completed projects in price prediction, trend analysis, and business insights, and continue to build high-quality portfolio work on GitHub. My focus is accuracy, clarity, and reliable communication.
If you need clean data, strong insights, or a tailored ML solution, I can help.
I work with small to medium datasets and deliver clean, well-commented Python notebooks that are easy to understand and reuse. My workflow includes understanding your goals, preparing and exploring your data, visualizing key patterns, and building models that provide practical, actionable value.
What I can help with:
Data cleaning & preprocessing
Exploratory Data Analysis (EDA)
Visualizations (heatmaps, boxplots, histograms, etc.)
Regression & classification models
Feature engineering
Model evaluation & improvement
Clear reports and insights
Tools: Python, Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, Jupyter Notebook
I’ve completed projects in price prediction, trend analysis, and business insights, and continue to build high-quality portfolio work on GitHub. My focus is accuracy, clarity, and reliable communication.
If you need clean data, strong insights, or a tailored ML solution, I can help.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, SQL, Tableau, XGBoostWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$90
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 0 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 5 | 7 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $15
Additional Model Variation
(+ 1 Day)
+$15
Additional Scenario
(+ 1 Day)
+$10
Additional Graph/Chart
+$5
Model Validation/Testing
(+ 1 Day)
+$10
Model Documentation
(+ 2 Days)
+$10Frequently asked questions
About Shashidhar
Data Analyst & Machine Learning Developer
Bengaluru, India - 3:48 am local time
I work with small to medium datasets and deliver clean, well-commented Python notebooks that are easy to understand and reuse. My workflow includes understanding your goals, preparing and exploring your data, visualizing key patterns, and building models that provide practical, actionable value.
What I can help with:
• Data cleaning & preprocessing
• Exploratory Data Analysis (EDA)
• Visualizations (heatmaps, boxplots, histograms, etc.)
• Regression & classification models
• Feature engineering
• Model evaluation & improvement
• Clear reports and insights
Tools: Python, Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, Jupyter Notebook
I’ve completed projects in price prediction, trend analysis, and business insights, and continue to build high-quality portfolio work on GitHub. My focus is accuracy, clarity, and reliable communication.
If you need clean data, strong insights, or a tailored ML solution, I can help.
Steps for completing your project
After purchasing the project, send requirements so Shashidhar can start the project.
Delivery time starts when Shashidhar receives requirements from you.
Shashidhar works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review
I will review your dataset, understand your goal, and confirm the approach before starting the analysis or model.
Data Cleaning & Preparation
I will clean the dataset, handle missing values, remove outliers, encode features, and prepare the data for analysis or modeling.