Welcome to Git Hub page of Mahesh Yadav
Data Science¶
- Self-executed project - For showcasing Data Science Bank Marketing Project in R
- Resume for Data Scientist ( in pdf )
- Basic project with Iris in R | Basic project with Iris in Python
- Mini-Projects
- Regression problem in Keras: Data Download and cleaning in R | Core Keras in R | Core Keras in Python
- 100 example with R | 100 example with Python (Last Updated Aug-2017. Not yet complete, only 10 problems thus far ;))
- My reference for:
- Confusion Matrix, Accuracy and Kappa
- Learn dplyr by comparison with Base R - how dplyr replaced my most common r idioms
- Solving classification with highly unbalanced Response data:
- Deep Learning:
- Deep-Learning-Made-Easy-With-R by Dr. N.D. Lewis (Great introduction for Neural Networks)
- One of best explaination in short blog by Ujjwalkarn - Animated figures cleared lot of concepts in CNN
- Deep Learning with Keras by Antonio Gulli and Sujit Pal
- Google free cloud service - Google Colab - with GPU for free
- Amazing Coursera notes from Tess Ferrandez taught by Andrew Ng
- LSTM Recurrent Neural Networks with Keras in R
- Text handling
- Visualization
- Good Internet Books (buy it if you can, to respect author's hard work)
- Good articles
- Linear Regression with R
- 40 techniques used by data scientists
- improve deep learning performance
- The most complete collection of best cheat sheats
- beginners guide to neural networks in Python
- Visualize the data structure with - visdat package
- seven Visualizations you should learn in R
- introduction to ggplot2 grammer
- R powered web applications with Shiny
- Boost your data munging with R
- Deep Learning with Keras in R
- Prepare french english dataset machine translation
- intution behind bias variance trade off
- Cluster - Berkeley
- Seven methods for data dimensionality (features) reduction
- Basic care and feeding of data in R
- Text mining: Sentimental Analysis on Harry Potter novel
- Data science Marketplace
- My Ph.D. thesis in Physics (14MB size)