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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 0 |
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| 001 Bonus Lecture.en.srt |
563б |
| 001 Bonus Lecture.mp4 |
3.94Мб |
| 001 Breast cancer Prediction App.en.srt |
12.66Кб |
| 001 Breast cancer Prediction App.mp4 |
56.40Мб |
| 001 Creating a very simple web app and Getting started with streamlit.en.srt |
6.73Кб |
| 001 Creating a very simple web app and Getting started with streamlit.mp4 |
24.60Мб |
| 001 Customer Lifetime Value (CLV)_ Understand the concepts.en.srt |
4.68Кб |
| 001 Customer Lifetime Value (CLV)_ Understand the concepts.mp4 |
10.40Мб |
| 001 Deploying the app in Heroku.en.srt |
11.16Кб |
| 001 Deploying the app in Heroku.mp4 |
52.73Мб |
| 001 Getting Started with Python.en.srt |
5.05Кб |
| 001 Getting Started with Python.mp4 |
13.66Мб |
| 001 Introduction.en.srt |
1.93Кб |
| 001 Introduction.mp4 |
14.12Мб |
| 001 Introduction to EDA and Missing Values Treatment.en.srt |
7.87Кб |
| 001 Introduction to EDA and Missing Values Treatment.mp4 |
45.90Мб |
| 001 Machine Learning Concepts.en.srt |
37.52Кб |
| 001 Machine Learning Concepts.mp4 |
149.01Мб |
| 001 Market Basket Analysis.en.srt |
10.73Кб |
| 001 Market Basket Analysis.mp4 |
38.22Мб |
| 001 Need for AI Apps.en.srt |
1.37Кб |
| 001 Need for AI Apps.mp4 |
3.45Мб |
| 001 Required Installs.en.srt |
1.64Кб |
| 001 Required Installs.mp4 |
9.05Мб |
| 001 Time Series Forecasting App.en.srt |
12.75Кб |
| 001 Time Series Forecasting App.mp4 |
38.56Мб |
| 001 Word Cloud App.en.srt |
8.04Кб |
| 001 Word Cloud App.mp4 |
38.09Мб |
| 002 CLV (Customer Lifetime Value) Code and Demo.en.srt |
6.33Кб |
| 002 CLV (Customer Lifetime Value) Code and Demo.mp4 |
34.79Мб |
| 002 Deploying Streamlit app using Streamlit platform.en.srt |
5.06Кб |
| 002 Deploying Streamlit app using Streamlit platform.mp4 |
18.74Мб |
| 002 EDA (Exploratory Data Analysis) App.en.srt |
17.51Кб |
| 002 EDA (Exploratory Data Analysis) App.mp4 |
69.71Мб |
| 002 Header and Sub Header.en.srt |
3.84Кб |
| 002 Header and Sub Header.mp4 |
13.46Мб |
| 002 Logistic Regression and Introduction to Deep Learning.en.srt |
49.50Кб |
| 002 Logistic Regression and Introduction to Deep Learning.mp4 |
219.19Мб |
| 002 Need for Streamlit.en.srt |
1.48Кб |
| 002 Need for Streamlit.mp4 |
5.55Мб |
| 002 Variables.en.srt |
8.12Кб |
| 002 Variables.mp4 |
24.56Мб |
| 003 Natural Language Processing (NLP).en.srt |
22.53Кб |
| 003 Natural Language Processing (NLP).mp4 |
78.79Мб |
| 003 Operators.en.srt |
5.90Кб |
| 003 Operators.mp4 |
18.79Мб |
| 003 Reading and displaying contents of a file.en.srt |
3.42Кб |
| 003 Reading and displaying contents of a file.mp4 |
11.77Мб |
| 004 Conditions.en.srt |
6.99Кб |
| 004 Conditions.mp4 |
18.31Мб |
| 004 Creating and displaying graphs.en.srt |
2.24Кб |
| 004 Creating and displaying graphs.mp4 |
10.57Мб |
| 005 Adding a logo or image to your app.en.srt |
2.77Кб |
| 005 Adding a logo or image to your app.mp4 |
13.47Мб |
| 005 Loops.en.srt |
7.99Кб |
| 005 Loops.mp4 |
19.88Мб |
| 006 Functions.en.srt |
5.73Кб |
| 006 Functions.mp4 |
15.26Мб |
| 006 Uploading a file.en.srt |
2.97Кб |
| 006 Uploading a file.mp4 |
9.84Мб |
| 007 Arrays.en.srt |
4.31Кб |
| 007 Arrays.mp4 |
20.13Мб |
| 007 Submit button, Selection box and Sliders.en.srt |
4.77Кб |
| 007 Submit button, Selection box and Sliders.mp4 |
21.31Мб |
| 008 Drop down - Single and Multiple Selection Options.en.srt |
3.56Кб |
| 008 Drop down - Single and Multiple Selection Options.mp4 |
11.96Мб |
| 008 List.en.srt |
4.91Кб |
| 008 List.mp4 |
15.41Мб |
| 009 Changing themes.en.srt |
3.20Кб |
| 009 Changing themes.mp4 |
15.12Мб |
| 009 Tuple.en.srt |
5.81Кб |
| 009 Tuple.mp4 |
19.83Мб |
| 010 Set.en.srt |
5.24Кб |
| 010 Set.mp4 |
19.64Мб |
| 011 Dictionary.en.srt |
3.06Кб |
| 011 Dictionary.mp4 |
12.97Мб |
| 012 Getting Started with NumPy.en.srt |
9.48Кб |
| 012 Getting Started with NumPy.mp4 |
28.48Мб |
| 013 Numpy_ Shape in Arrays.en.srt |
4.34Кб |
| 013 Numpy_ Shape in Arrays.mp4 |
12.66Мб |
| 014 Numpy_ Joining Arrays.en.srt |
3.07Кб |
| 014 Numpy_ Joining Arrays.mp4 |
13.42Мб |
| 015 EDA app.py |
3.30Кб |
| 015 Numpy_ Splitting Arrays.en.srt |
1.87Кб |
| 015 Numpy_ Splitting Arrays.mp4 |
6.09Мб |
| 016 Numpy_ Searching and Sorting Arrays.en.srt |
2.91Кб |
| 016 Numpy_ Searching and Sorting Arrays.mp4 |
10.29Мб |
| 017 Getting Started with Pandas.en.srt |
8.00Кб |
| 017 Getting Started with Pandas.mp4 |
34.21Мб |
| 018 Pandas_ Dataframe.en.srt |
7.04Кб |
| 018 Pandas_ Dataframe.mp4 |
28.09Мб |
| 018 Prophet model ts data.csv |
66.49Кб |
| 018 time series.txt |
827б |
| 019 Pandas_ Descriptive Statistics.en.srt |
3.84Кб |
| 019 Pandas_ Descriptive Statistics.mp4 |
10.83Мб |
| 020 clv.py |
2.64Кб |
| 020 Pandas_ Sorting, Slicing, Flipping, Grouping Data.en.srt |
7.85Кб |
| 020 Pandas_ Sorting, Slicing, Flipping, Grouping Data.mp4 |
22.73Мб |
| 021 Data Visualization using Matplotlib.en.srt |
9.21Кб |
| 021 Data Visualization using Matplotlib.mp4 |
33.03Мб |
| 021 MBA.txt |
2.41Кб |
| 048 Bonus Lecture.pptx |
4.80Мб |
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| external-assets-links.txt |
74б |
| external-assets-links.txt |
95б |
| external-assets-links.txt |
70б |
| TutsNode.com.txt |
63б |