Machine Learning in Python

I create and train machine learning models for business, research, and study. I will help you solve the problems of classification, regression or forecasting, detection, segmentation, clustering, working with LLM, and so on, turning data into accurate predictions. I use Python and modern libraries for reliable results.

What is included in the service:

Data preparation: Cleaning, normalization, processing of omissions and outliers.

Model Training: Developing and configuring models with Scikit-learn, torch, keras, catboost, xgboost, LGBM, LLM, etc.

Optimization: Selection of hyperparameters for maximum accuracy.

Visualization: Graphs of ROC curves, decision trees, and quality metrics.

Reporting: Detailed reports with explanations and code in Jupyter Notebook

Why choose me?

Practical experience: I constantly participate in Olympiads and hackathons to develop my skills.

Clear results: I explain complex models in simple language.

Flexibility: I provide code, reports, or only results according to your requirements.

Required for the order:
Task description: For example, "build a classification model" or "predict sales".

Data: CSV, Excel, JSON, etc.

Goals and metrics: Desired accuracy, metric (F1, ROC-AUC), or training requirements.

Result format: Code, report, visualization, or a combination of both.

Deadline: Specify the urgency and any requests.

Scope of service: One model (training, setup, visualization and report).