Pinned Repositories
10_days_of_deep_learning
10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras
365datascience
This Repo Contains all the exercise files for Data Science Course of 365 Datascience . The repo is split into the relevant folders & there is one exercise folder which contains all the files of that course. Don't forget to star it :D
a-2017
Public Repository for cs109a, 2017 edition
awesome-R
A curated list of awesome R packages, frameworks and software.
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
go
The Open Source Data Science Masters
PyImageSearch-CV-DL-CrashCourse
Repository for PyImageSearch Crash Course on Computer Vision and Deep Learning
textmineR
An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides a wrapper for several topic models that take similarly-formatted input and give similarly-formatted output. Has additional functionality for analyzing and diagnostics for topic models.
useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
udhai17's Repositories
udhai17/10_days_of_deep_learning
10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras
udhai17/a-2017
Public Repository for cs109a, 2017 edition
udhai17/Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
udhai17/BIG_DATA
This is where we are making chatbot using seq2seq model , and will be trying different structures to make it more efficient
udhai17/ciml
A Course in Machine Learning
udhai17/clickbait-workshop
Pydata 2017 workshop: build a clickbait detector with python
udhai17/CompStats
Code for a workshop on statistical interference using computational methods in Python.
udhai17/Coursera
Quiz & Assignment of Coursera
udhai17/Coursera-Machine-Learning
Coursera Machine Learning - Python code
udhai17/Credit-Card-Fraud-Detection
udhai17/Data-School-Stuffs
udhai17/data-science-blogs
A curated list of data science blogs
udhai17/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
udhai17/Deep-Learning-A-Z-Udemy
udhai17/deeplearning.ai-Assignments
udhai17/ipython-notebooks
A collection of IPython notebooks covering various topics.
udhai17/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
udhai17/ISLR-with-Python
Introduction to Statistical Learning with R을 Python으로
udhai17/JMPortilla-Python-BootCamp
My Jupyter Notebooks for JM Portilla Course
udhai17/jupyter
Jupyter metapackage for installation, docs and chat
udhai17/MLaPP-solutions
Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective
udhai17/OOP-Python-
Object Oriented Programming using Python
udhai17/OOP-using-Python
udhai17/pandas-cookbook
Recipes for using Python's pandas library
udhai17/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
udhai17/pyprobml
Python code for "Machine learning: a probabilistic perspective"
udhai17/scipy-2017-holoviews-tutorial
Material for 'Interactive Data Visualization with HoloViews & Bokeh' SciPy tutorial
udhai17/scipy-2017-tutorial-pandas
SciPy 2017 Pandas Tutorial
udhai17/sklearn_tutorial
Materials for my scikit-learn tutorial
udhai17/udacity-nanodegrees
:mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula