You will get Cleaned & Preprocessed Data with Python for Analysis and Machine Learning
Project details
I provide professional data cleaning and data preprocessing services for Excel and CSV files. I ensure your data is ready for data analysis or data mining projects. Key services include: removing duplicates, handling missing values, data encoding for categorical variables, normalization, and feature scaling. I clean large CSV and Excel datasets, ensuring consistent formatting for analysis or machine learning.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $50
Additional Revision
+$20Frequently asked questions
About Muhammad
Data Scientist |Python, Data Analysis, Machine Learning, Data Cleaning
Islamabad, Pakistan - 3:05 am local time
I help businesses and individuals turn raw data into actionable insights by using tools like NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn. My expertise includes:
Data Wrangling & Cleaning
Exploratory Data Analysis (EDA)
Statistical Analysis & Hypothesis Testing
Feature Engineering & Data Modeling
Supervised Machine Learning (Classification & Regression)
Insightful Dashboards and Visual Reports
I consistently build real-world projects to sharpen my skills and stay updated with the latest data science practices. I’m passionate about solving data-driven problems and delivering high-quality results.
✅ Let’s work together to unlock the power of your data. I’m ready to help—message me today!
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Review Client Requirements & Dataset
I go through the dataset and your specific cleaning or preprocessing needs (e.g., missing values, duplicates, formatting issues). If needed, I’ll reach out with any clarifying questions.
Initial Data Audit
I perform an in-depth inspection of the data using Python (Pandas, NumPy). Identify data quality issues: null values, outliers, incorrect formats, data types, etc. Summarize the problems and confirm cleaning approach with you (if required).