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Atreya Joshi's Projects

all-classification-templetes-for-ml icon all-classification-templetes-for-ml

Classification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classification algorithms, support vector machines(SVM), Naive Bayes, Decision Tree and Random Forest Classifier in this tutorial. Objectives Let us look at som

all_ml_algorithms_implementation_on_different_datasets icon all_ml_algorithms_implementation_on_different_datasets

This repository contains implementation of ML algorithms like: Linear Regression, Naive Bayes, PCA, Stacking, XG Boost, Logistic Rregression, DBSCAN, SVM, Cross Validation, Ensemble Technique, K-Means and other sk-learn libraries on jupyter notebook.

android-calendar-sync icon android-calendar-sync

This calendar demo sync all your calendar events, reminders,birthdays and meetings and display.We are making own custom calendar which fetch all this event and show on ui. for complete tutorial check this link :http://www.androiddevelopersolution.com/2013/05/android-calendar-sync.html

android-google-cloud-messaging icon android-google-cloud-messaging

A sample application that demonstrates how to create a client app for Google Cloud Messaging using Android SDK. This example is based on Android SDK guides, but i'm adding some refactors and making more easy to understand.

android-simple-notification icon android-simple-notification

A sample application that demonstrates how to create notifications via NotificationCompat API. This example is based on Android SDK guides, but i'm adding some refactors and making more easy to understand.

android-speech-to-text-example icon android-speech-to-text-example

Android natively provides converting Text to Speech and Speech to Text feature, so why not to use it in our app! In this tutorial, we will show you how to integrate Android’s Speech to Text API in your Android app. This simple application will record the user voice, convert it into text and display on Android Screen.

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