🤖 ML Data Analysis Studio
Chat about machine learning, upload your data, clean it, train models, inspect the code, and download reports.
Hi! I'm your ML analysis assistant. Ask me anything about machine learning models (e.g. 'What is a random forest?', 'When should I use logistic regression?'), or upload a dataset in the Data & Preprocessing tab.
So — what do you want to analyse today?
Step 1 — Upload your dataset (CSV, TSV, Excel, JSON, or Parquet)
Upload a file to begin.
Step 2 — Preprocessing & cleaning options
Always applied: trims whitespace, converts placeholder values ('N/A', '?', '-') to missing, parses numeric-looking text ('$1,234', '45%'), and drops empty or constant columns.
Step 3 — Configure and train a model
Step 4 — Export your analysis
Generates a report with the dataset profile, preprocessing steps, model results, and charts.