Linear-feedback shift register implementation using Python3 and NVIDIA CUDA 8
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Updated
Jan 16, 2017 - Python
Linear-feedback shift register implementation using Python3 and NVIDIA CUDA 8
The assignments and programming tasks of free course included in Data Analyst Nanodegree offered by Facebook. I've created Jupyter Notebooks for each lesson to include code as well as class notes which will help the reader to get tutorial experience rather than just dry code.
Implementing linear regression on Boston Housing dataset using scikit-learn
Build a Reproducible Jupyter Workflow From Scratch (2017 NIH Hour of Code)
Dummy repository to test Travis CI and GitHub continuous integration for a Python miniconda environment.
Deploying Hadoop and Spark with Docker swarm
Pulses analysis using mysql server for data saving
Performed text preprocessing, clustering and analyzed the data from different books using K-means, EM, Hierarchical clustering algorithms and calculated Kappa, Consistency, Cohesion or Silhouette for the same.
Cats Vs Dogs Image Classifier
Steps to access jupyter notebooks located in an Amazon EC2 instance from any browser for Windows users using PuTTy Console.
Use Python and Pandas library to analyze school district data and showcase trends in school performance based on key metrics.
This repository contains instructions about how to use GitHub.
Deep learning project based on software engineering data, built with TensorFlow
In this mini-project i have chosen to do sentiment analysis of social media websites such as twitter and reddit to gain insights into the people’s opinion towards prime ministerial candidates for the Lok Sabha election 2019. Social media provides a platform for people’s opinion of a person or event or topic to be heard from anywhere at any time …
begin training pandas with Jupyter / Anacondas
Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.
ChatBot made in Python with Rasa Framework for IEEE SB NIT Durgapur
Python and Pandas library are used to analyze school district data and showcase trends in school performance based on key metrics.
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