Discover @pavansvn Open Source projects

Pavan Kumar Sanagapati (@pavansvn)

pavansvn

Stars
11
Global Rank 920,445 (Top 32 %)
Followers 16
Following 1
Registered almost 7 years ago
Most used languages

Jupyter Notebook
71.4 %

Scala
14.3 %

Python
14.3 %
Location 🇮🇳 India
Country Total Rank 38,898
Country Ranking

Scala
245

Jupyter Notebook
5,315

Million-Song-Recommendation-Engine

Popularity Based & Item Based Collaborative Filtering

Jupyter Notebook

Digital-Platform-Health-Monitoring

Digital Platform Health Monitoring using Kafka,Flume,Hive & Spark Streaming

Deep-Learning-using-Tensorflow-Keras-CNN-with-Fashion-MNIST-dataset-

Deep Learning using Tensorflow, Keras & CNN with Fashion MNIST dataset

Jupyter Notebook

Credit-Card-Fraud-Detection

Credit-Card-Fraud-Detection

Jupyter Notebook

Recommendation-Engine-using-Spark-MLlib

Movie Recommendation Engine using Spark MLlib

Jupyter Notebook

Realtime-Twitter-Sentiment-Analysis

To analyze sentiment of Karnataka 2018 election tweets

Google-Analytics-Customer-Revenue-Prediction

In this Kaggle competition, you’re challenged to analyze a Google Merchandise Store (also known as GStore, where Google swag is sold) customer dataset to predict revenue per customer. Hopefully, the outcome will be more actionable operational changes and a better use of marketing budgets for those companies who choose to use data analysis on top of GA data.

Jupyter Notebook

Complete-CNN-Implementation-using-Keras-Tensorflow

If you like this kernel please kindly UPVOTE as it greatly motivates me to contribute a lot more to this community. Introduction This kernel covers the complete CNN implementation using own dataset of images .The following topics will be covered. Loading and preprocessing own dataset Designing and training a CNN model in Keras Plotting the Loss and Accuracy curve Evaluating the model & Predicting the output class of a test image Visualizing the intermediate layer output of CNN Plotting the confusion matrix for your result