tanmay1101

@tanmay1101

Hey! Nice to see you. I have technical experience and interest in- Computer vision Natural Language Processing Machine Learning Artificial Neural Network

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Language Breakdown

Lines of code distribution across 20 owned repositories

9.0M Total LOC

Jupyter Notebook

8,992,733 lines

99.5%

N/A

Python

35,656 lines

0.4%

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HTML

6,370 lines

0.1%

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CSS

5,612 lines

0.1%

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Shell

637 lines

0.0%

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Other

40 lines

0.0%

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I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook

Python

HTML

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Coding Streak

Contribution activity over the past year

1 day

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Top Repositories

Human-Disease-Prediction

In this Notebook, I will try to explain how we can train a machine learning model using different supervised learning algorithms to get the best model which can accurately classify different human diseases based on provided features like( Joint pain, stomach pain, acidity, itching, rashes, etc.). I will perform the following steps in this article- Data Loading and Understanding Exploratory Data Analysis and Feature Engineering Data Modeling Model Evaluation Model Interpretation We will try to understand how we can implement the below algorithms Decision Tree classifier MLP Classifier Random Forest Classifier You must be wondering why I have used these algorithms, why not logistic regression or KNN or SVM or others? Don't worry I will try to explain everything in this article.

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notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.

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