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Advanced, Career, Machine Learning, Skilltest
45 questions to test Data Scientists on Tree Based Algorithms (Decision tree, Random Forests, XGBoost)

JalFaizy Shaikh, December 5, 2016
Advanced, Classification, Computer Vision, Deep Learning, Image, Machine Learning, Python, Supervised, Technique, Unstructured Data
Fine-tuning a Keras model using Theano trained Neural Network & Introduction to Transfer Learning

JalFaizy Shaikh, November 21, 2016
Advanced, Deep Learning, Image, Machine Learning, Project, Python, Unstructured Data
Creating an artificial artist: Color your photos using Neural Networks

JalFaizy Shaikh, November 7, 2016
Advanced, Classification, Deep Learning, Image, Machine Learning, Python, Supervised, Technique, Unstructured Data
Investigation on handling Structured & Imbalanced Datasets with Deep Learning

guest_blog, October 31, 2016
Advanced, Classification, Computer Vision, Deep Learning, Libraries, Machine Learning, Programming, Python, Structured Data, Supervised, Technique
Tutorial: Optimizing Neural Networks using Keras (with Image recognition case study)

JalFaizy Shaikh, October 12, 2016
Advanced, Big data, Data Engineering, Libraries, Programming, Python, Structured Data
Comprehensive Introduction to Apache Spark, RDDs & Dataframes (using PySpark)

1201904, September 19, 2016
Advanced, Career, Education, R, Skilltest
Full Solution – Skilltest on R for Data Science

Kunal Jain, August 28, 2016
Advanced, Machine Learning, R, Regression, Structured Data, Supervised, Technique
Using Platt Scaling and Isotonic Regression to Minimize LogLoss Error in R

NSS, July 7, 2016
Advanced, Business Analytics, Career, E-Commerce, Interviews, R, Resource, Structured Data, Structured Thinking
Solving Case study : Optimize the Products Price for an Online Vendor (Level : Hard)

Tavish Srivastava, July 4, 2016
Advanced, Libraries, Machine Learning, Programming, R, Structured Data, Technique
data.table() vs data.frame() – Learn to work on large data sets in R

avcontentteam, May 3, 2016

45 questions to test Data Scientists on Tree Based Algorithms (Decision tree, Random Forests, XGBoost)

JalFaizy Shaikh, December 5, 2016

Fine-tuning a Keras model using Theano trained Neural Network & Introduction to Transfer Learning

JalFaizy Shaikh, November 21, 2016

Creating an artificial artist: Color your photos using Neural Networks

JalFaizy Shaikh, November 7, 2016

Investigation on handling Structured & Imbalanced Datasets with Deep Learning

guest_blog, October 31, 2016

Tutorial: Optimizing Neural Networks using Keras (with Image recognition case study)

JalFaizy Shaikh, October 12, 2016

Comprehensive Introduction to Apache Spark, RDDs & Dataframes (using PySpark)

1201904, September 19, 2016

Full Solution – Skilltest on R for Data Science

Kunal Jain, August 28, 2016

Using Platt Scaling and Isotonic Regression to Minimize LogLoss Error in R

NSS, July 7, 2016

Solving Case study : Optimize the Products Price for an Online Vendor (Level : Hard)

Tavish Srivastava, July 4, 2016

data.table() vs data.frame() – Learn to work on large data sets in R

avcontentteam, May 3, 2016

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Category: Advanced

45 questions to test Data Scientists on Tree Based Algorithms (Decision tree, Random Forests, XGBoost)

JalFaizy Shaikh, December 5, 2016

Fine-tuning a Keras model using Theano trained Neural Network & Introduction to Transfer Learning

JalFaizy Shaikh, November 21, 2016

Creating an artificial artist: Color your photos using Neural Networks

JalFaizy Shaikh, November 7, 2016

Investigation on handling Structured & Imbalanced Datasets with Deep Learning

guest_blog, October 31, 2016

Tutorial: Optimizing Neural Networks using Keras (with Image recognition case study)

JalFaizy Shaikh, October 12, 2016

Comprehensive Introduction to Apache Spark, RDDs & Dataframes (using PySpark)

1201904, September 19, 2016

Full Solution – Skilltest on R for Data Science

Kunal Jain, August 28, 2016

Using Platt Scaling and Isotonic Regression to Minimize LogLoss Error in R

NSS, July 7, 2016

Solving Case study : Optimize the Products Price for an Online Vendor (Level : Hard)

Tavish Srivastava, July 4, 2016

data.table() vs data.frame() – Learn to work on large data sets in R

avcontentteam, May 3, 2016