[ TutSala.com ] Udemy - Data Science - Sentiment Analysis - Model Building Deployment
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2021-10-18 03:59 | 2024-5-21 06:36 | 152 | 667.47 MB | 31 |
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文件列表
- ~Get Your Files Here !/1. Introduction and Getting Started/1. Project Overview.mp46.81MB
- ~Get Your Files Here !/1. Introduction and Getting Started/2. About NLP and Sentiment Analysis.mp45.65MB
- ~Get Your Files Here !/1. Introduction and Getting Started/3. High Level Overview of the steps to be performed.mp45.54MB
- ~Get Your Files Here !/1. Introduction and Getting Started/4. Installing Packages.mp410.71MB
- ~Get Your Files Here !/10. Deploying the project on Heroku Platform/1. Updating your Project directory.mp415.21MB
- ~Get Your Files Here !/10. Deploying the project on Heroku Platform/2. Pushing your code to Github repository.mp417.55MB
- ~Get Your Files Here !/10. Deploying the project on Heroku Platform/3. Project deployment on Heroku Platform.mp435.59MB
- ~Get Your Files Here !/2. Data Understanding, Exploration & Preparation/1. Importing Libraries.mp415.18MB
- ~Get Your Files Here !/2. Data Understanding, Exploration & Preparation/2. Loading the data from source.mp47.02MB
- ~Get Your Files Here !/2. Data Understanding, Exploration & Preparation/3. Understanding the data.mp420.73MB
- ~Get Your Files Here !/2. Data Understanding, Exploration & Preparation/4. Preparing the data for pre-processing.mp417.11MB
- ~Get Your Files Here !/3. Data Pre-processing/1. Pre-processing steps overview.mp427.39MB
- ~Get Your Files Here !/3. Data Pre-processing/2. Custom Pre-processing functions.mp483.49MB
- ~Get Your Files Here !/3. Data Pre-processing/3. About POS tagging and Lemmatization.mp412.19MB
- ~Get Your Files Here !/3. Data Pre-processing/4. POS tagging and lemmatization in action.mp437.57MB
- ~Get Your Files Here !/4. Data Analysis/1. Creating a word cloud of positive and negative tweets.mp434.27MB
- ~Get Your Files Here !/4. Data Analysis/2. Most frequent set of words in the dataset for positive and negative cases.mp430.38MB
- ~Get Your Files Here !/5. Data Preparation/1. Train Test Split.mp48.13MB
- ~Get Your Files Here !/5. Data Preparation/2. About TF-IDF Vectorizer.mp420.66MB
- ~Get Your Files Here !/5. Data Preparation/3. TF-IDF Vectorizer in action.mp412.46MB
- ~Get Your Files Here !/6. Classification Metrics/1. About Confusion Matrix.mp49.5MB
- ~Get Your Files Here !/6. Classification Metrics/2. About Classification Report.mp411.12MB
- ~Get Your Files Here !/6. Classification Metrics/3. About AUC-ROC.mp46.36MB
- ~Get Your Files Here !/7. Model Building and Evaluation/1. Creating a common Model Evaluation function.mp431.9MB
- ~Get Your Files Here !/7. Model Building and Evaluation/2. Checking for model performance across a wide range of models.mp412.99MB
- ~Get Your Files Here !/7. Model Building and Evaluation/3. Final Inference and saving the models.mp417.51MB
- ~Get Your Files Here !/8. Model in Action/1. Testing the model on unknown datasets.mp429.99MB
- ~Get Your Files Here !/8. Model in Action/2. Testing the model on unknown datasets – Excel option.mp429.78MB
- ~Get Your Files Here !/9. Running the model on a local Server/1. What is Streamlit and Installation steps.mp45.09MB
- ~Get Your Files Here !/9. Running the model on a local Server/2. Creating an user interface to interact with our created model.mp464.28MB
- ~Get Your Files Here !/9. Running the model on a local Server/3. Running the model on Local Streamlit Server.mp425.32MB
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