[ TutSala.com ] Udemy - Data Science - Sentiment Analysis - Model Building Deployment

Creation Time	April 23, 2024, 1:17 p.m.
Last Access Time	Feb. 4, 2025, 7:19 p.m.
File Size	964.1 MB
Keywords	Building Sentiment Data Science - Analysis Udemy TutSala Deployment Model com
Total Requests	55
Total Files	80
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~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/data/training.1600000.processed.noemoticon.csv 227.7 MB
~Get Your Files Here !/3. Data Pre-processing/2. Custom Pre-processing functions.mp4 83.5 MB
~Get Your Files Here !/9. Running the model on a local Server/2. Creating an user interface to interact with our created model.mp4 64.3 MB
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/models/vectoriser.pickle 58.6 MB
~Get Your Files Here !/3. Data Pre-processing/4. POS tagging and lemmatization in action.mp4 37.6 MB
~Get Your Files Here !/10. Deploying the project on Heroku Platform/3. Project deployment on Heroku Platform.mp4 35.6 MB
~Get Your Files Here !/4. Data Analysis/1. Creating a word cloud of positive and negative tweets.mp4 34.3 MB
~Get Your Files Here !/7. Model Building and Evaluation/1. Creating a common Model Evaluation function.mp4 31.9 MB
~Get Your Files Here !/4. Data Analysis/2. Most frequent set of words in the dataset for positive and negative cases.mp4 30.4 MB
~Get Your Files Here !/8. Model in Action/1. Testing the model on unknown datasets.mp4 30.0 MB
~Get Your Files Here !/8. Model in Action/2. Testing the model on unknown datasets – Excel option.mp4 29.8 MB
~Get Your Files Here !/3. Data Pre-processing/1. Pre-processing steps overview.mp4 27.4 MB
~Get Your Files Here !/9. Running the model on a local Server/3. Running the model on Local Streamlit Server.mp4 25.3 MB
~Get Your Files Here !/2. Data Understanding, Exploration & Preparation/3. Understanding the data.mp4 20.7 MB
~Get Your Files Here !/5. Data Preparation/2. About TF-IDF Vectorizer.mp4 20.7 MB
~Get Your Files Here !/10. Deploying the project on Heroku Platform/2. Pushing your code to Github repository.mp4 17.5 MB
~Get Your Files Here !/7. Model Building and Evaluation/3. Final Inference and saving the models.mp4 17.5 MB
~Get Your Files Here !/2. Data Understanding, Exploration & Preparation/4. Preparing the data for pre-processing.mp4 17.1 MB
~Get Your Files Here !/10. Deploying the project on Heroku Platform/1. Updating your Project directory.mp4 15.2 MB
~Get Your Files Here !/2. Data Understanding, Exploration & Preparation/1. Importing Libraries.mp4 15.2 MB
~Get Your Files Here !/7. Model Building and Evaluation/2. Checking for model performance across a wide range of models.mp4 13.0 MB
~Get Your Files Here !/5. Data Preparation/3. TF-IDF Vectorizer in action.mp4 12.5 MB
~Get Your Files Here !/3. Data Pre-processing/3. About POS tagging and Lemmatization.mp4 12.2 MB
~Get Your Files Here !/6. Classification Metrics/2. About Classification Report.mp4 11.1 MB
~Get Your Files Here !/1. Introduction and Getting Started/4. Installing Packages.mp4 10.7 MB
~Get Your Files Here !/6. Classification Metrics/1. About Confusion Matrix.mp4 9.5 MB
~Get Your Files Here !/5. Data Preparation/1. Train Test Split.mp4 8.1 MB
~Get Your Files Here !/2. Data Understanding, Exploration & Preparation/2. Loading the data from source.mp4 7.0 MB
~Get Your Files Here !/1. Introduction and Getting Started/1. Project Overview.mp4 6.8 MB
~Get Your Files Here !/6. Classification Metrics/3. About AUC-ROC.mp4 6.4 MB
~Get Your Files Here !/1. Introduction and Getting Started/2. About NLP and Sentiment Analysis.mp4 5.6 MB
~Get Your Files Here !/1. Introduction and Getting Started/3. High Level Overview of the steps to be performed.mp4 5.5 MB
~Get Your Files Here !/9. Running the model on a local Server/1. What is Streamlit and Installation steps.mp4 5.1 MB
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/models/Sentiment-LR.pickle 3.8 MB
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/data/testdata.csv 3.0 MB
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/notebooks/Sentiment_Analysis_Tweet_LemmatizingWithPOS.ipynb 1000.8 KB
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/notebooks/ipynb_checkpoints/Sentiment_Analysis_Tweet_DefaultLemmatizer-checkpoint.ipynb 1000.4 KB
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/notebooks/ipynb_checkpoints/Sentiment_Analysis_Tweet_LemmatizingWithPOS-checkpoint.ipynb 999.5 KB
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/data/sentiment.jpg 378.6 KB
~Get Your Files Here !/3. Data Pre-processing/2. Custom Pre-processing functions.srt 12.6 KB
~Get Your Files Here !/9. Running the model on a local Server/2. Creating an user interface to interact with our created model.srt 11.5 KB
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/app.py 8.5 KB
~Get Your Files Here !/3. Data Pre-processing/4. POS tagging and lemmatization in action.srt 7.3 KB
~Get Your Files Here !/10. Deploying the project on Heroku Platform/3. Project deployment on Heroku Platform.srt 6.5 KB
~Get Your Files Here !/7. Model Building and Evaluation/1. Creating a common Model Evaluation function.srt 6.0 KB
~Get Your Files Here !/8. Model in Action/1. Testing the model on unknown datasets.srt 6.0 KB
~Get Your Files Here !/8. Model in Action/2. Testing the model on unknown datasets – Excel option.srt 5.7 KB
~Get Your Files Here !/4. Data Analysis/2. Most frequent set of words in the dataset for positive and negative cases.srt 5.4 KB
~Get Your Files Here !/9. Running the model on a local Server/3. Running the model on Local Streamlit Server.srt 5.2 KB
~Get Your Files Here !/4. Data Analysis/1. Creating a word cloud of positive and negative tweets.srt 4.9 KB
~Get Your Files Here !/3. Data Pre-processing/1. Pre-processing steps overview.srt 4.7 KB
~Get Your Files Here !/5. Data Preparation/2. About TF-IDF Vectorizer.srt 4.2 KB
~Get Your Files Here !/2. Data Understanding, Exploration & Preparation/3. Understanding the data.srt 3.8 KB
~Get Your Files Here !/10. Deploying the project on Heroku Platform/1. Updating your Project directory.srt 3.7 KB
~Get Your Files Here !/7. Model Building and Evaluation/3. Final Inference and saving the models.srt 3.4 KB
~Get Your Files Here !/2. Data Understanding, Exploration & Preparation/4. Preparing the data for pre-processing.srt 3.4 KB
~Get Your Files Here !/10. Deploying the project on Heroku Platform/2. Pushing your code to Github repository.srt 3.3 KB
~Get Your Files Here !/7. Model Building and Evaluation/2. Checking for model performance across a wide range of models.srt 3.2 KB
~Get Your Files Here !/6. Classification Metrics/1. About Confusion Matrix.srt 2.8 KB
~Get Your Files Here !/2. Data Understanding, Exploration & Preparation/1. Importing Libraries.srt 2.7 KB
~Get Your Files Here !/5. Data Preparation/3. TF-IDF Vectorizer in action.srt 2.7 KB
~Get Your Files Here !/3. Data Pre-processing/3. About POS tagging and Lemmatization.srt 2.7 KB
~Get Your Files Here !/6. Classification Metrics/2. About Classification Report.srt 2.6 KB
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/README.md 2.4 KB
~Get Your Files Here !/1. Introduction and Getting Started/1. Project Overview.srt 2.0 KB
~Get Your Files Here !/2. Data Understanding, Exploration & Preparation/2. Loading the data from source.srt 1.8 KB
~Get Your Files Here !/1. Introduction and Getting Started/4. Installing Packages.srt 1.7 KB
~Get Your Files Here !/9. Running the model on a local Server/1. What is Streamlit and Installation steps.srt 1.7 KB
~Get Your Files Here !/6. Classification Metrics/3. About AUC-ROC.srt 1.6 KB
~Get Your Files Here !/5. Data Preparation/1. Train Test Split.srt 1.5 KB
~Get Your Files Here !/1. Introduction and Getting Started/3. High Level Overview of the steps to be performed.srt 1.4 KB
~Get Your Files Here !/1. Introduction and Getting Started/2. About NLP and Sentiment Analysis.srt 1.3 KB
~Get Your Files Here !/Bonus Resources.txt 357 bytes
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/nltk.txt 215 bytes
Get Bonus Downloads Here.url 177 bytes
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/setup.sh 141 bytes
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/requirements.txt 110 bytes
~Get Your Files Here !/11. Project Files and Code/1. Full Project Code.html 90 bytes
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/Procfile 40 bytes
~Get Your Files Here !/11. Project Files and Code/sentiment-analysis-app/gitignore 30 bytes

[ TutSala.com ] Udemy - Data Science - Sentiment Analysis - Model Building Deployment

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