pavansvn/Realtime-Twitter-Sentiment-Analysis

Stars
1
Language
Python
Created over 6 years ago
Updated over 6 years ago

pavansvn/Realtime-Twitter-Sentiment-Analysis

pavansvn

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

To analyze sentiment of Karnataka 2018 election tweets

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

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