Jivitesh Poojary's repositories
Applied-Machine-Learning
Kaggle Projects, Programs and proofs for CSCI - B659 Applied Machine Learning assignments
Statistical-Analysis
SAS programs for SPEA - V506 Statistical Analysis for effective decision making
bad-data-guide
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
CNS-Shiny-Apps
The repo contains plug and play apps for visualizing data created in R and Shiny
coding-interview-university
A complete computer science study plan to become a software engineer.
crosscompute-tutorials
Tutorials for building analytical tools
Data-Mining
Kaggle Projects, Programs and proofs
Exploratory-Data-Analysis
R programs for Exploratory Data Analysis
Information-Retrieval
Contains projects and Assignment of NLP and Search class at IU
Information-Visualization
Data analysis and graphics for ILS - Z637 Information Visualization
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data-Science-Notes
It contains notes I have formed after reading blogs and seeing conference talks
DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
deep-rl-tensorflow
TensorFlow implementation of Deep Reinforcement Learning papers
deep-visualization-toolbox
DeepVis Toolbox
dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
English-Character-Recognition
Undergraduate research project on image recognition using neural networks
free-data-science-books
Free resources for learning data science
list_of_recommender_systems
A List of Recommender Systems and Resources
machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
python_reference
Useful functions, tutorials, and other Python-related things
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
tf-tutorial
Short tutorial for TensorFlow, designed to be presented in-person
The-Field-Guide-to-Data-Science
This is meant to be a Data Science resource for capturing the latest technology, expertise, and evolving techniques in Data Science.
useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html