teja275 Goto Github PK

abo-movie-ratings

The aim of this project is to scrape the list of movies reviewed by andhraboxoffice.com, an entertainment website which publishes reviews and box-office collection reports of Tollywood movies (movies made in Telugu language)

algos_practice

This repository contains my self written python code for various algorithms

course-v3

The 3rd edition of course.fast.ai

coursera-getting-and-cleaning-data-project

course project for Coursera "Getting and Cleaning Data"

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datasciencecoursera

Created as a part of JHU Data Science Specialization

datasharing

The Leek group guide to data sharing

developing_data_products

Developing Data Products Course from the Johns Hopkins Data Science Lab

elo-merchant-recommendation---kaggle

Python Notebook of Elo Kaggle Competition

elo_competition

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

facebook_api

Exploring the facebook api

fastai

The fastai deep learning library, plus lessons and and tutorials

fonts

Patched fonts for Powerline users.

getting-and-cleaning-data-course-project

Getting and Cleaning Data Course Project

janatahack-customer-segmentation

Analytics Vidhya competition on customer segmentation

janatahack-healthcare-analytics

Analytics Vidhya Janata Hack conducted on 18th & 19th July 2020

janatahack-machine-learning-in-agriculture

Analytics Vidhya Janata Hack conducted on 25th & 26th July 2020

machine-learning

Machine Learning playground

math-co-hackathon

Code repo for the data hackathon conducted by The Math Company

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

python_practice

quince_assignment

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

resume-latex

Create your Professional/Educational resume using LaTeX

resume_2021

Resume updated in 2021 using latex

robyn

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.

test-repo

Created as a part of JHU Data Science Specialization

time_series_augmentation

An example of time series augmentation methods with Keras

ttd-accommodation-availability

Code repository for the python application which checks for the accommodation availability at TIrumala, Tirupati & Talakona