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I will build a machine learning model for prediction and classification
Google Certified Data Analyst, Python and Dashboard Expert
Hi, I'm Rana Hanzlah Yasir. As a Google Certified Data Analyst, I turn messy data into clear business insights.
I specialize in: Cleaning and merging messy Excel or CSV files using Python, Building i...
About this Gig
Let your data predict the future.
As a Google Certified Data Professional, I use Python and Scikit-Learn to build Machine Learning models that help businesses make data-driven decisions.
Whether you need to predict Sales Numbers (Regression) or classify Customer Churn (Classification), I build models that are accurate, robust, and explainable.
What I Can Do For You:
- Prediction (Regression): Forecast sales, real estate prices, or inventory demand.
- ️ Classification: Predict "Yes/No" outcomes (e.g., Will this customer buy? Is this transaction fraud?).
- Clustering: Group your customers into segments (K-Means) for targeted marketing.
My Tech Stack:
- Python: Scikit-Learn, Pandas, NumPy.
- Evaluation: Confusion Matrix, ROC-AUC, RMSE, R-Squared.
- Deliverable: A Clean Jupyter Notebook with comments explaining every step.
Why Me? I perform Feature Engineering to ensure the model actually works on new data, and I explain the results so you can use them.
Please message me with your dataset before ordering. Note: I do NOT do Deep Learning (Neural Networks) for this gig.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
Colab
FAQ
What do I need to provide to get started?
You must have a dataset (Excel, CSV, SQL) with historical data. For Machine Learning to work, the data must be labeled (e.g., if you want to predict "Churn," your past data must show which customers churned and which didn't).
Can you guarantee 100% accuracy?
No honest Data Scientist can guarantee 100% accuracy. The model's performance depends entirely on the quality and patterns in your data. However, I use advanced techniques (Feature Engineering, Hyperparameter Tuning) to get the highest possible accuracy for your specific dataset.
Do you do Deep Learning, NLP, or Image Recognition?
No. This gig is strictly for Tabular Data (Spreadsheets/SQL) using Scikit-Learn / Statsmodels (Regression, Classification, Clustering). I do not build Chatbots, Computer Vision models, or Neural Networks in this gig.
What will the final delivery look like?
You will receive a Jupyter Notebook (.ipynb) containing the full code, model training steps, and evaluation metrics. I also provide a summary explaining which features (variables) were most important for the prediction.
