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Fiverr Pro
English
$
USD
I will build your complete machine learning model from data to deployment
AI Chatbot and AI Agent Developer, RAG, LangChain, OpenAI API, FastAPI
I’m an AI developer specializing in custom AI chatbots and AI agents. I build RAG-powered chatbots that can answer questions using your documents, data, and knowledge base, as well as AI agents that c...
About this Gig
YOU HAVE DATA. YOU NEED A MODEL THAT ACTUALLY WORKS.
Most machine learning projects fail because people skip the hard parts: proper data preparation, feature engineering, and rigorous testing. I don't skip. I do the whole thing right.
From your raw, messy data to a model that performs well and deploysthat's what I deliver.
WHAT YOU GET:
Complete data cleaning & preparation
Exploratory data analysis
Feature engineering
Model training & hyperparameter tuning
Proper evaluation with cross-validation
Clean, documented Python code
Trained model ready to use
Detailed performance report
TOOLS: Python, Pandas, NumPy, Scikit-learn
PROBLEMS I SOLVE:
Customer churn prediction
Sales forecasting
Price prediction
Loan/credit classification
Demand forecasting
Any regression or classification problem
MESSAGE ME BEFORE ORDERING with your problem details. I'll confirm the right package for your needs.
My Portfolio
FAQ
What data formats do you accept?
Excel, CSV, SQL, JSON, Parquet - any structured data format.
What if my problem is complex?
Message me before ordering with your details. I'll recommend the right package.
Can you work with imbalanced data?
Yes. I use SMOTE, class weights, and stratified cross-validation for imbalanced datasets.
What if the model doesn't perform well?
I document WHY and recommend next steps. I don't hide poor performance—I explain it.
Can you deploy the model to production?
I provide deployment-ready code. Actual deployment depends on your requirements—we discuss this.
How will I receive the deliverables?
You get: trained model file (pickle), complete Jupyter notebook, cleaned dataset, performance report, and usage guide.
