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I will do machine learning model training in python
Data Scientist, Python, Power BI, Excel, EDA
I am a professional Data Analyst skilled in data cleaning, exploratory data analysis (EDA), and data visualization. I use Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, and Excel to analyze data an...
About this Gig
Welcome to my Professional Data Science & Machine Learning Gig!
Are you dealing with messy, raw data and looking for a clean, end-to-end Machine Learning solution? You are in the right place! I specialize in transforming complex data into powerful predictive models using Python.
What I Offer:
- Data Clean & EDA: Handling missing values, outliers, and deep insights with Seaborn & Matplotlib plots.
- Preprocessing & Feature Engineering: Advanced scaling, encoding, and creating high-impact features to boost model power.
- Model Training & Evaluation: Solid baseline and optimized models (Regression, Classification, Trees).
Why Choose Me?
- Clean, well-documented Jupyter Notebooks.
- Strict focus on high-performance metrics (Accuracy, MAE, RMSE).
- 100% on-time delivery with professional code.
️ IMPORTANT NOTE BEFORE ORDERING: Our Basic $90 package is specifically tailored for large-scale datasets (up to 50,000+ rows) or complex data.
Have a smaller dataset or a custom short task? No problem! Please drop a message in my inbox before placing an order. I will review your data and send you a pocket-friendly Custom Offer (starting from $20 - $30) customized exactly to your needs!
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
APIs:
Other
Tools:
Jupyter Notebook
My Portfolio
FAQ
What programming language and tools do you use?
I use Python as the primary programming language. For data manipulation and machine learning, I heavily rely on Jupyter Notebook, Pandas, NumPy, Scikit-Learn, Matplotlib, and Seaborn.
What do I need to provide to start the project?
You need to provide your dataset (CSV, Excel, or SQL file) along with a clear description of your business goals and what you want the machine learning model to predict.
Will you provide the source code?
Yes, absolutely! I will provide a well-commented Jupyter Notebook (.ipynb file) containing the entire workflow, from data cleaning to model evaluation, so you can easily understand the code.
Can you handle messy data with missing values or outliers?
Yes, data cleaning and preprocessing are my core strengths. I will handle missing values, clean up duplicates, encode categorical variables, and scale features properly before training any model.
