You will get I will build a machine learning model using Python
Project details
I offer complete end-to-end Machine Learning project development tailored to your specific problem and dataset. From data preprocessing to model deployment.
This project includes:
Problem Understanding
Analyze your business or academic problem
Define whether it is classification, regression, clustering, NLP, or computer vision
Data Preprocessing
Data cleaning and handling missing values
Feature engineering and feature selection
Encoding categorical variables
Data normalization and scaling
Model Development
Selection of appropriate ML algorithms
Training and testing models
Hyperparameter tuning
Model comparison and optimization
Model Evaluation
Accuracy Precision Recall F1-score
Confusion Matrix
Cross-validation
Performance visualization
Clean and well-commented Python code
Model predictions and evaluation results
Optional deployment using Flask or FastAPI
I use tools such as Python, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib to build efficient and scalable solutions.
Whether you need help with an academic assignment, research project, or real-world business application, I am here to provide professional and reliable ML solutions.
This project includes:
Problem Understanding
Analyze your business or academic problem
Define whether it is classification, regression, clustering, NLP, or computer vision
Data Preprocessing
Data cleaning and handling missing values
Feature engineering and feature selection
Encoding categorical variables
Data normalization and scaling
Model Development
Selection of appropriate ML algorithms
Training and testing models
Hyperparameter tuning
Model comparison and optimization
Model Evaluation
Accuracy Precision Recall F1-score
Confusion Matrix
Cross-validation
Performance visualization
Clean and well-commented Python code
Model predictions and evaluation results
Optional deployment using Flask or FastAPI
I use tools such as Python, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib to build efficient and scalable solutions.
Whether you need help with an academic assignment, research project, or real-world business application, I am here to provide professional and reliable ML solutions.
Machine Learning Tools
GPT-3, Keras, MATLAB, Microsoft Excel, NumPy, Open Neural Network Exchange, OpenCV, Python, PyTorchWhat's included
| Service Tiers |
Starter
$35
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 2 | 2 |
Number of Model Variations | 3 | 4 | 1 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 4 | 6 | 7 |
Model Validation/Testing | |||
Model Documentation | - | - | - |
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$60 - $300
Additional Revision
+$20
Additional Model Variation
(+ 2 Days)
+$60
Additional Scenario
(+ 2 Days)
+$18About Awais
Machine Learning & NLP Engineer | Python, Deep Learning, LLMs
Rawalpindi, Pakistan - 12:12 pm local time
I help businesses, startups, and researchers transform messy data into intelligent AI solutions that deliver accurate, scalable, and production-ready results.
Whether you need to classify text, build a semantic search engine, create a Retrieval-Augmented Generation (RAG) system, or develop a custom Machine Learning model, I focus on solving the underlying problem—not just writing code.
Here's how I can help:
Build Machine Learning & Deep Learning models tailored to your data
Develop NLP solutions for text classification, sentiment analysis, document similarity, entity extraction, and semantic search
Create LLM-powered applications using RAG, embeddings, vector databases, and prompt engineering
Clean, preprocess, and engineer data to maximise model performance
Evaluate, optimise, and improve existing AI models
Assist with research projects, academic work, and AI prototypes
Technical Expertise
• Python
• Machine Learning & Deep Learning
• Natural Language Processing (spaCy, NLTK, Transformers)
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Embeddings & Semantic Search
• Feature Engineering & Model Evaluation
• C++ & Java (OOP)
I believe great AI isn't measured by model complexity—it's measured by business impact. That's why I prioritise clean code, clear communication, and solutions that are reliable, maintainable, and delivered on time.
If you're looking for someone who understands both the theory behind AI and the practical steps needed to build solutions that work in the real world, let's discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Awais can start the project.
Delivery time starts when Awais receives requirements from you.
Awais works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Confirmation
Confirm problem type (classification, regression, NLP, CV, etc.) Confirm dataset availability Confirm expected output Confirm deadline Confirm deliverables format
Dataset Analysis (EDA)
Load dataset Check missing values Check data types Detect outliers Perform Exploratory Data Analysis (EDA) Visualize patterns