Official repository for Spyder - The Scientific Python Development Environment
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Updated
Dec 21, 2024 - Python
Official repository for Spyder - The Scientific Python Development Environment
Open source tools for Estonian natural language processing
Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.
Github Action to deploy conda package to Anaconda repository
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 …
Build a Reproducible Jupyter Workflow From Scratch (2017 NIH Hour of Code)
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.
Prediction-of-heart-disease-using different machine learning algorithms.
ChatBot made in Python with Rasa Framework for IEEE SB NIT Durgapur
Steps to access jupyter notebooks located in an Amazon EC2 instance from any browser for Windows users using PuTTy Console.
Deploying Hadoop and Spark with Docker swarm
My Python Journey 🐍 Welcome to my Python journey repository! 🚀 As a beginner, I'm excited to share my progress, learnings, and adventures in the world of Python programming. Whether you're a fellow newbie or an experienced coder, I hope you find something valuable here.
Jupyter Notebook accompanying Anaconda Maker Blog post, "5 Routes to Go from Zero to Viz in Data Science" May 2022
Dummy repository to test Travis CI and GitHub continuous integration for a Python miniconda environment.
This repository contains instructions about how to use GitHub.
Implementing linear regression on Boston Housing dataset using scikit-learn
Cats Vs Dogs Image Classifier
Deep learning project based on software engineering data, built with TensorFlow
Use Python and Pandas library to analyze school district data and showcase trends in school performance based on key metrics.
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