Pinned Repositories
CS598-PSL---Assignments
Class Assignments for UIUC 598 Practical Statistical Learning
Data-Science-and-Machine-Learning-Resources
List of Data Science and Machine Learning Resource that I frequently use
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
fake-news-detection
Final Project for CAPP 30255 Advanced Machine Learning for Public Policy
Fake_News_Detection
Fake News Detection in Python
google-cloud
Google Cloud Demos and Scripts
Machine-Learning
Various machine learning projects using public datasets
machine-learning-interview
Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
predicting-age-of-abalone-using-regression
Predicting the age of abalone using multiple regression in R
SatellitesOrbitingTheEarth_in_D3
A Visualization of Every satellite orbiting the Earth in D3.js
nishitpatel01's Repositories
nishitpatel01/fake-news-detection
Final Project for CAPP 30255 Advanced Machine Learning for Public Policy
nishitpatel01/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
nishitpatel01/fakenewschallenge
UCL Machine Reading - FNC-1 Submission
nishitpatel01/Machine-Learning-A-Z
nishitpatel01/nyc-taxi-data
Import public NYC taxi and Uber trip data into PostgreSQL / PostGIS database, analyze with R
nishitpatel01/NYC-transport
A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.
nishitpatel01/NYC_Green_Taxi
Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare
nishitpatel01/pyspark-tutorial
Learn Spark using Python
nishitpatel01/spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
nishitpatel01/spark_python_ml_examples
Spark 2.0 Python Machine Learning examples
nishitpatel01/TensorFlow-ML-Exercises
Learning Machine Learning with TensorFlow
nishitpatel01/athene_system
nishitpatel01/awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
nishitpatel01/awesome-computer-vision
A curated list of awesome computer vision resources
nishitpatel01/awesome-machine-learning-on-source-code
Interesting links & research papers related to Machine Learning applied to source code
nishitpatel01/azure-content
Repository containing the Articles on azure.microsoft.com Documentation Center
nishitpatel01/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
nishitpatel01/Data-Analysis-with-Spark
nishitpatel01/Deep-Learning
nishitpatel01/deep-learning-1
Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke
nishitpatel01/fnc-1
nishitpatel01/ggplot2
An implementation of the Grammar of Graphics in R
nishitpatel01/ggstat
Statistical computations for visualisation
nishitpatel01/ggvis
Interactive grammar of graphics for R
nishitpatel01/google-interview-university
A complete daily plan for studying to become a Google software engineer.
nishitpatel01/hol-azure-machine-learning
Introduction to Machine Learning and Azure Machine Learning Services. Hands on labs to show Azure Machine Learning features, developing experiments, feature engineering, R and Python Scripting, Production stage, publishing models as web service, RRS and BES usage
nishitpatel01/languages-and-codegen-tutorial
A tutorial on defining domain-specific languages and transforming them to high-performance code
nishitpatel01/mapsplotlib
Custom Python plots on a Google Maps background. A flexible matplotlib like interface to generate many types of plots on top of Google Maps.
nishitpatel01/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
nishitpatel01/tidytext
Text mining using dplyr, ggplot2, and other tidy tools :sparkles::page_facing_up::sparkles::page_facing_up::sparkles: