Jayasagar Jagirapu's repositories
ml-auto-risk-factor-prediction
Python Sklearn Regression model example
py-machine-learning-labs
My own quick and basic implementations for Machine Learning Decision Tree classifier algorithm!
python-machine-learning-hello-world
Iris Dataset implementation using Python ML libraries
sparkml-regression-models-movie-revenue-predictions
TMDb movie dataset revenue predictions
neural-network-model-to-classify-images-of-clothing
neural network model to classify images of clothing, like sneakers and shirts
neural-networks-and-fundamentals
Implement basic fundamental concepts such as Preceptrons, Signoid, etc...
traffic-sign-label-tensorflow
Build a neural network and how to train, evaluate and optimize it with TensorFlow
data-structure-labs
Quick experiments and practice on Data strcutures
haskell-play-ground
Practice Haskell
java-docs-samples
Java and Kotlin Code samples used on cloud.google.com
java8-tutorial
Basic Java 8 examples
jay-machine-learning-notes
All my learning notes
learn-kotlin
kotlin basic learning
meeting-schedular
Simple system for processing batches of booking requests and create a booking calendar!
react-native-image-offline
React Native library for iOS and Android offline image storage. This library provides most of the capabilities for an application to display pre-loaded images when offline.
react-native-play-ground
Sample react native examples
reactive-kafka
Reactive Streams API for Apache Kafka
reactive-programming-series
Learn reactive programming
sparkml-regression-models-bike-prediction
Basic Bike dataset regression models.
sparkml-regression-models-restaurant-predictions
Restaurant revenue prediction implementation through SparkML
tac-fe-dev-batch-1-ts
t.a.c batch 1 interns practice TS common repo
tensorflow-keras-learning-lab
Learning examples on Tensorflow and Keras
tf-open-pose-experiment
Tensorflow Open Pose example using pipenv