Conda Environments 2022 | Flask Deployment | GitHub | Sentiment Analysis Python App
Tutorial covers: basics of Conda Environments, real world implementation & free toolkit for your actual hands-on.
Conda is a popular package and environments manager - that comes from the Anaconda lineage (2022). It's better than Pipenv, as you may install specific Python versions with Conda and it's, loosely speaking, programming language agnostic.
In this tutorial, we shall deploy a Keras Deep Learning Model on Sentiment Classification using LSTM.
Happy learning :)
🔥 Sections:
00:00 Introduction
01:21 Basics of Environments
02:32 Setting up Conda
03:03 Conda Cheat Sheet
03:48 YML File & Channels
05:19 Python app.py walkthrough
07:28 Conda implementation
09:46 Python app is now live!!
11:35 Export environment as YML
12:20 Your BONUS!!
🔥 Resources:
Sentiment Analysis Project using LSTM: • Sentiment Analysis with LSTM | Deep L...
Mathematics behind LSTM: http://colah.github.io/posts/2015-08-...
Word Embeddings (for Text-to-Numeric transformations): • Word Embeddings Explained
Python App Deployment using Pipenv: • PIP + Virtual Environment | Flask Dep...
GitHub Repo link: https://github.com/skillcate/movie-se...
Conda Cheatsheet: https://docs.conda.io/projects/conda/...
Anaconda installer: https://www.anaconda.com/products/dis...
Miniconda installer: https://docs.conda.io/en/latest/minic...
Our other popular ML Projects:
1. Sentiment Analysis Project (End-to-end) with ML Model Building + Deployment (using Flask):
---- a. Model Building: • Sentiment Analysis Machine Learning P... (Part-1)
---- b. Model Deployment: • PIP + Virtual Environment | Flask Dep... (Part-2)
2. Sentiment Analysis Project using Traditional ML: • Sentiment Analysis Project using Mach...
3. Analytics-enabled Marketing: • Marketing Analytics Project using Mac...
4. Credit Scoring Project: • Credit Scoring Project using Machine ...
5. Face Recognition Project: • Face Detection Machine Learning Proje...
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