I will build a machine learning model in python
About this Gig
Need a machine learning model built for your data? I'll handle everything from raw data to a working, accurate model.
What I offer:
Data cleaning, preprocessing & exploratory data analysis (EDA)
Feature engineering and visualization (Matplotlib, Seaborn)
Training multiple ML models (Random Forest, KNN, SVM, Decision Tree, Naive Bayes, Logistic Regression)
Model evaluation with accuracy, confusion matrix & classification reports
Cross-validation to ensure no overfitting
Final model delivered as a saved, ready-to-use file (.pl)
My work speaks for itself:
I built a Crop Recommendation System that classifies 22 crop types using soil nutrients and weather data, achieving 99.55% accuracy with Random Forest after comparing 6 different ML algorithms.
Why choose me?
Clean, well-commented Jupyter notebooks
Detailed visualizations and insights, not just code
Fast turnaround & clear communication
Source code + trained model included
Message me with your dataset and goal before ordering so I can give you an accurate plan!
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
•
Other
Tools:
Jupyter Notebook
•
Colab

