Mallikarjun PM's repositories
algorithmic-examples
Algorithmic Marketing Models
author-profiling
Identifying author profile including age and gender from texts
autosub
Command-line utility for auto-generating subtitles for any video file
autosub-bootstrapbill
Bootstrapbill version of autosub
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
book_marketing_ds
Code and data examples included in the book "Marketing Data Science" by Thomas W. Miller.
bosch-kaggle-competition-spark
Bosch Kaggle competion: Reduce manufacturing failures (https://www.kaggle.com/c/bosch-production-line-performance)
click-through-rate-prediction
Kaggle's click through rate prediction with Spark
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
Data-Science--Cheat-Sheet
Cheat Sheets
dateduration
derives the duration of months/years when a date range is given as string input
DWBI3
Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.
dynts
Python package for timeseries analysis and manipulation
goalProgress
:100: Animated progress bar using jQuery to show how close you are to reaching your goal.
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
models
Models built with TensorFlow
py_ml_utils
Some small utility modules to help with pandas, numpy and sklearn usage in other projects
ResumeParser
A script to parse PDF resumes, extract contact information, and check for required terms
Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
SerenePike_HealthTech
Team name: Serene PikeAccenture HealthTech hackathon
Spark-MLlib-Twitter-Sentiment-Analysis
:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib
tensorflow
Computation using data flow graphs for scalable machine learning
TimeSeriesAnalysiswithPython
Time Series Analysis with Python
training-data-analyst
Labs and demos for courses in the Data Engineer track of GCP Training (http://cloud.google.com/training).