I will train a machine learning model on your dataset using python
AI Machine Learning Developer Python Computer Vision
About this Gig
Need a working machine learning model for your data, without the back-and-forth?
I'll clean your dataset, train and compare multiple models, and deliver a
ready-to-use solution with a clear report.
WHAT YOU GET
Data cleaning and preprocessing
3+ models trained and compared (Logistic Regression, Random Forest,
SVM, XGBoost etc., chosen to fit your data)
Evaluation with accuracy, precision, recall, F1 and confusion matrix
Well-commented Jupyter Notebook (.ipynb)
Saved trained model file (.pkl)
Simple README explaining how to run and use the model
WHAT I WORK ON
- Classification (spam detection, churn, fraud, sentiment, disease etc.)
- Regression (price, sales, demand prediction)
- Text classification using NLP (TF-IDF)
- Image classification using CNN (TensorFlow)
TOOLS
Python, Scikit-learn, TensorFlow, Pandas, NumPy, OpenCV
MY EXPERIENCE
I have built and deployed ML projects including SMS spam detection
(95%+ accuracy on 5,000+ samples) and plant disease image classification
(90%+ validation accuracy), and worked as an AI/ML intern on real-world datasets.
BEFORE YOU ORDER
Please send me a message with a sample of your dataset so I can confirm
it is a good fit.
Programming language:
Python
•
R
Frameworks:
Scikit-learn
•
DeepPy
•
Keras
•
PyTorch
•
Panda
APIs:
Amazon Rekognition
•
Google Cloud Vision API
•
Azure Face API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
Colab

