PRICES START FROM 25K!

Machine Learning Assignment Service — TensorFlow, PyTorch, and Scikit-learn

Machine learning is a popular thesis topic, but implementing models from scratch takes serious time and expertise. Jokicodingku helps university students implement ML models — from simple regression to deep neural networks — with clean, well-documented code and full evaluation metrics.

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What We Handle

Implementing classification models using scikit-learn (Decision Tree, Random Forest, SVM, KNN) with accuracy, precision, recall, and F1 evaluation
Building deep learning models using TensorFlow/Keras for image or text classification
Training custom PyTorch models with a complete training loop and dataset pipeline
Data preprocessing: handling missing values, categorical encoding, scaling, and feature selection
Visualizing ML results: confusion matrix, ROC curve, feature importance, and learning curves with Matplotlib/Seaborn

Why Choose Jokicodingku?

  • Fast delivery with guaranteed deadlines
  • Revision guarantee until you're satisfied
  • Prices starting from 25k, negotiable by difficulty
  • Experienced team across languages and frameworks
  • Privacy guaranteed — your identity and data stay safe

Frequently Asked Questions

Can Jokicodingku work with my own dataset (not from Kaggle)?

Yes! Just send your dataset (CSV, Excel, or another format) and we'll preprocess and train the model to fit your research needs. We can also help with data augmentation if needed.

How much does a machine learning assignment cost?

Prices start from 25k for simple scripts or model evaluation. A full implementation with preprocessing, training, evaluation, and visualization is typically 100k–400k depending on model complexity and dataset size.

Is the ML output from Jokicodingku ready for my thesis implementation chapter?

Yes! We deliver well-documented code, complete evaluation outputs, and high-resolution visualizations that you can directly insert into your thesis or research paper.

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