Dinesh Raturi (AndroidArena)

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Company:Dinesh Raturi

Location:Uttarakhand

Home Page:https://youtube.com/dineshraturi

Twitter:@DineshRaturi1

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Dinesh Raturi's repositories

CurrencyDetectorAndroid

Indian Currency detector using Deeplearning Image classification using transfer Learning Resenet50 model- 10 , 100 and 500.

BestCovid19_bot-DialogFlow

This chatbot developed using Dialoglow,python,flask,MongoDB and deployed on Telegram and pivotal cloud foundary. search @bestcovid19_bot on telegram app

EasyOCR

Easy OCR demo + Invoice for Youtube

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eye-tracking

Pose and eye tracking using Posenet and Facemesh Tensorflow js library

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Android-PlantAppUI

This is Random Demo(code Standard not maintained) for Agriculture Ecommerce App Developed by me for youtube video. Kindly subscribe - https://www.youtube.com/dineshraturi Tech stack - Constraint Layout

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AarogyaSetu_Android

Aarogya Setu Android app native code

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AndroidTicTacToeGame

In this project I have developed Tic Tac Toe Game in Android using latest MVVM + Clean Architeture + DaggerHilt

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AQIPrediction

This is AQI (Air Quality Index) prediction Project based.

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Assignment

CV App Assignment Demo in Kotlin with Github repo mock test

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Basic-machine-Learning

I have tried to predict Boston House price from - https://archive.ics.uci.edu/ml/machine-learning-databases/housing/ Steps I performed - 1. Convert the data into a readable format, done some cleaning 2. Understand the problem objective 3. Decide whether its a regression or classification problem 4. import necessary libraries and read the data into DataFrame 5. Done some exploratory Data Analysis (EDA) 6. Spilt the Data between Training and Test sets 6. Done Stratified shuffle for proper distribution of data points in test and train set like 0/1 values of column CHAS 6. find some co-relation between attributes and understand that which feature is important for us. 7.Assign data to X_train , y_train 8.Done Preprocessing step using sklearn pipeline- Imputer-median to fill NA values and Standardization for feature scalling 9. Apply a model one by one and understand its performance - a. LinearRegression b. Decision Tree c. Random forest 10. evaluate Model using RMSE and Furthur Cross-validation. 11. Finally, choose the Random forest model to further predict test_set 12. Save model using joblib

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Covid-19Bot-Dialogflow

Welcome to Covid-19 Chatbot developed using DialogFlow,Python,Flask,MongoDB

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deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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EspressoUITest-Examples

Examples of UI Testing with Espresso, Mockk, androidx.test

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Linear-Algebra

Linear Algebra

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Machine-Learning-Projects

Kaggle - Basic Machine learning Projects on popular sample Data

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powerbi

powerbi desktop basics

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python

Python codes and practice

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PythonLectures

Basic of python

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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SimpleMultiClassifier

Simple Multi Classifier using CNN

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TransitionManager

This is transtion layout test project

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