Udemy - Data Science - Sentiment Analysis - Model Building Deployment

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Udemy - Data Science - Sentiment Analysis - Model Building Deployment

Torrent Contents Size: 964.1 MB

Udemy - Data Science - Sentiment Analysis - Model Building Deployment
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1. About Confusion Matrix.mp4
MP4
9.5 MB
1. About Confusion Matrix.srt
SRT
2.8 KB
1. Creating a common Model Evaluation function.mp4
MP4
31.9 MB
1. Creating a common Model Evaluation function.srt
SRT
6 KB
1. Creating a word cloud of positive and negative tweets.mp4
MP4
34.3 MB
1. Creating a word cloud of positive and negative tweets.srt
SRT
4.9 KB
1. Full Project Code.html
HTML
102.4 B
1. Importing Libraries.mp4
MP4
15.2 MB
1. Importing Libraries.srt
SRT
2.7 KB
1. Pre-processing steps overview.mp4
MP4
27.4 MB
1. Pre-processing steps overview.srt
SRT
4.7 KB
1. Project Overview.mp4
MP4
6.8 MB
1. Project Overview.srt
SRT
2 KB
1. Testing the model on unknown datasets.mp4
MP4
30 MB
1. Testing the model on unknown datasets.srt
SRT
6 KB
1. Train Test Split.mp4
MP4
8.1 MB
1. Train Test Split.srt
SRT
1.5 KB
1. Updating your Project directory.mp4
MP4
15.2 MB
1. Updating your Project directory.srt
SRT
3.7 KB
1. What is Streamlit and Installation steps.mp4
MP4
5.1 MB
1. What is Streamlit and Installation steps.srt
SRT
1.7 KB
2. About Classification Report.mp4
MP4
11.1 MB
2. About Classification Report.srt
SRT
2.6 KB
2. About NLP and Sentiment Analysis.mp4
MP4
5.6 MB
2. About NLP and Sentiment Analysis.srt
SRT
1.3 KB
2. About TF-IDF Vectorizer.mp4
MP4
20.7 MB
2. About TF-IDF Vectorizer.srt
SRT
4.2 KB
2. Checking for model performance across a wide range of models.mp4
MP4
13 MB
2. Checking for model performance across a wide range of models.srt
SRT
3.2 KB
2. Creating an user interface to interact with our created model.mp4
MP4
64.3 MB
2. Creating an user interface to interact with our created model.srt
SRT
11.5 KB
2. Custom Pre-processing functions.mp4
MP4
83.5 MB
2. Custom Pre-processing functions.srt
SRT
12.6 KB
2. Loading the data from source.mp4
MP4
7 MB
2. Loading the data from source.srt
SRT
1.8 KB
2. Most frequent set of words in the dataset for positive and negative cases.mp4
MP4
30.4 MB
2. Most frequent set of words in the dataset for positive and negative cases.srt
SRT
5.4 KB
2. Pushing your code to Github repository.mp4
MP4
17.5 MB
2. Pushing your code to Github repository.srt
SRT
3.3 KB
2. Testing the model on unknown datasets – Excel option.mp4
MP4
29.8 MB
2. Testing the model on unknown datasets – Excel option.srt
SRT
5.7 KB
3. About AUC-ROC.mp4
MP4
6.4 MB
3. About AUC-ROC.srt
SRT
1.6 KB
3. About POS tagging and Lemmatization.mp4
MP4
12.2 MB
3. About POS tagging and Lemmatization.srt
SRT
2.7 KB
3. Final Inference and saving the models.mp4
MP4
17.5 MB
3. Final Inference and saving the models.srt
SRT
3.4 KB
3. High Level Overview of the steps to be performed.mp4
MP4
5.5 MB
3. High Level Overview of the steps to be performed.srt
SRT
1.4 KB
3. Project deployment on Heroku Platform.mp4
MP4
35.6 MB
3. Project deployment on Heroku Platform.srt
SRT
6.5 KB
3. Running the model on Local Streamlit Server.mp4
MP4
25.3 MB
3. Running the model on Local Streamlit Server.srt
SRT
5.2 KB
3. TF-IDF Vectorizer in action.mp4
MP4
12.5 MB
3. TF-IDF Vectorizer in action.srt
SRT
2.7 KB
3. Understanding the data.mp4
MP4
20.7 MB
3. Understanding the data.srt
SRT
3.8 KB
4. Installing Packages.mp4
MP4
10.7 MB
4. Installing Packages.srt
SRT
1.7 KB
4. POS tagging and lemmatization in action.mp4
MP4
37.6 MB
4. POS tagging and lemmatization in action.srt
SRT
7.3 KB
4. Preparing the data for pre-processing.mp4
MP4
17.1 MB
4. Preparing the data for pre-processing.srt
SRT
3.4 KB
Bonus Resources.txt
TXT
307.2 B
Get Bonus Downloads Here.url
URL
204.8 B
Procfile
0 B
README.md
MD
2.4 KB
Sentiment-LR.pickle
PICKLE
3.8 MB
Sentiment_Analysis_Tweet_LemmatizingWithPOS-checkpoint.ipynb
IPYNB
999.5 KB
app.py
PY
8.5 KB
gitignore
0 B
nltk.txt
TXT
204.8 B
requirements.txt
TXT
102.4 B
sentiment.jpg
JPG
378.6 KB
setup.sh
SH
102.4 B
testdata.csv
CSV
3 MB
training.1600000.processed.noemoticon.csv
CSV
227.7 MB
vectoriser.pickle
PICKLE
58.6 MB

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