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Insight Predictor

5 devlogs
46h 24m 44s

Core Features:

  1. Dataset Input Parsing – Accept CSV, JSON, or structured user input.
  2. Basic Statistical Analysis – Compute mean, variance, standard deviation.
  3. Correlation & Covariance – Identify relationships between fe…

Core Features:

  1. Dataset Input Parsing – Accept CSV, JSON, or structured user input.
  2. Basic Statistical Analysis – Compute mean, variance, standard deviation.
  3. Correlation & Covariance – Identify relationships between features.
  4. Linear Regression Predictions – Predict Y from X or X from Y.
  5. Output Reasoning – Explain why a prediction was made (“Column A strongly influences outcome”).
  6. Anomaly Detection (Basic) – Flag obvious outliers in datasets.
Repository

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thecybro

Coding day and night without proper sleep just recked my time and wasted so much time and effort of mine.

I was coding for so much time not realizing all of that was bs, my entire structure collapsed, predictions were wrong, most fundamental thing was also coded wrong.

But after having proper sleep, rested for couple of days and then sitting and calmly looking at my code, i realised i have to fix the entire structure ( but not just everything from 0 ), so I did and now,
I have added many output features, and functions like interpret_prediction, run_prediction, keyword searcher, important results etc, optimized and cleaned up rest of the code

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thecybro

Finally fixed the validity checker function logic which was irritating me for a long time, but still long way to go.

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thecybro

Found the number required for stability

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thecybro

Trained the model for the first time after fixing some formulas (some yet to be finished)

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thecybro

Added methods to compute mean, variance, standard deviation, covariance, correlation coefficients and interpretation.

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