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You will get Full data preprocessing pipeline for machine learning
Project details
1. Data Cleaning & Preparation
✅ Handling missing values, duplicates, and outliers
✅ Data normalization & scaling
✅ Encoding categorical variables
✅ Feature selection & engineering
✅ Formatting datasets for ML training
✅ Handling missing values, duplicates, and outliers
✅ Data normalization & scaling
✅ Encoding categorical variables
✅ Feature selection & engineering
✅ Formatting datasets for ML training
Machine Learning Tools
NLTK, pandas, Python, scikit-learnWhat's included
| Service Tiers |
Starter
$20
|
Standard
$30
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 2 |
Number of Scenarios | 1 | 2 | 2 |
Number of Graphs/Charts | 2 | 4 | 5 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code |
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AA
Ameer A.
Mar 5, 2026
AI agent to Researcher & Write Blogs Automatically
amazing experience again
AA
Ameer A.
Jan 2, 2026
RAG & LangChain Developer (Streamlit Deployment
outstanding Engineer, highly recommended for AI related works
About Asad
AI Application Developer | Chatbots, Agents & NLP Solutions
Chitral, Pakistan - 2:34 am local time
I build production-grade AI applications that put your data and workflows to work — from intelligent chatbots and NLP pipelines to multi-agent systems that automate complex business processes end to end.
My core expertise is in LangChain and LangGraph, which means I don't just connect an API to a chat window — I architect AI systems with memory, reasoning, tool use, and multi-step decision logic that hold up in real production environments.
What I build:
AI chatbots for customer support, sales, HR, and internal operations
RAG pipelines that ground AI responses in your actual business data
NLP applications — classification, extraction, summarization, semantic search
LangGraph multi-agent workflows for complex, branching automation
LLM-powered backends integrated with your existing tools and APIs
What you get:
Accurate, context-aware AI , no hallucinations, no generic outputs
Scalable architecture built for real production traffic
Clean integration with your website, CRM, database, or internal systems
Full handoff documentation so your team owns it going forward
Tech stack: OpenAI / Claude APIs · LangChain · LangGraph · FastAPI · RAG · Open-source LLMs
If you need an AI application built properly ,not patched together — let's scope your project.
Steps for completing your project
After purchasing the project, send requirements so Asad can start the project.
Delivery time starts when Asad receives requirements from you.
Asad works on your project following the steps below.
Revisions may occur after the delivery date.
start with data cleaning
i will start with basic data cleaning , then do further preprocessing till the data is ready for ML training