akashdesarda Goto Github PK

advanced_linear_regression

akashdesarda.github.io

A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass

analyzing_medium

The Selenium scraper used to collect data from one million Medium articles.

asd

Fuzzy system build using matlab

classroom_prac

Practise

data-analysis-library

deciding-best-independant-variable-in-multilinear-regression

By using back propagation algorithm in Multilinear Regression

decision_tree_project

deep-learning

An awesome implementation of most Deep learning framework

descriptive_statistics_project

determining-resemblance-of-two-question

Deep learning tool to determine similarity of given two question

eda_project

fairing

Python SDK for building, training, and deploying ML models

fastbook

The fastai book, published as Jupyter Notebooks

feature_engineering_project

grammar-corrector

A REST API which accepts text requests and sends back with correcting all grammatical errors.

hotstar-hackathon-

To learn patterns from customers whose watch patterns are already known. To generate predictive models that can best capture the behaviour. So that Advertisers can target customers based on demographic attributes.

importidea

This repository is use for maintaining and hosting 'import idea' blog website.

intervention-for-autistic-spectrum-disorder

A mamdani Fuzzy model which is used to determine autistic areea in young kids

investment-based-on-fis

kfp-passing--parameter

Passing Passing a variable(which can be used as parameter) generated from first container to next container to be used as parameter.

linear_regression_project

logistic_regression_project

missing-semester

The Missing Semester of Your CS Education 📚

mkdocs-material

A Material Design theme for MkDocs

numpy_advanced_project

object-detection-using-ssd

This is keras implemenration of SSD for Object Detection, optimized to be run on local system.

olympic_project_new

New olympic dataset project

pandas_project

parse

Parse strings using a specification based on the Python format() syntax.