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[ DevCourseWeb com ] Deep Learning and Generative AI - Data Prep, Analysis, and Visualization with Python
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Name:[ DevCourseWeb com ] Deep Learning and Generative AI - Data Prep, Analysis, and Visualization with Python
Infohash: 67B6C7FF8BBF438697B5ADD173CBD133BA68FEB2
Total Size: 266.90 MB
Magnet: Magnet Download
Seeds: 4
Leechers: 0
Stream: Watch Full Movies @ LimeMovies
Last Updated: 2026-01-06 02:01:47 (Update Now)
Torrent added: 2024-10-24 20:02:28
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01 - Introduction
01 - Leverage generative AI for analytics and insights.mp4
01 - Leverage generative AI for analytics and insights.srt
02 - What you should know.mp4
02 - What you should know.srt
03 - How to use the challenge exercise files.mp4
03 - How to use the challenge exercise files.srt
02 - 1. Why Process and Why Visualize Data
01 - We live in a data-driven world!.mp4
01 - We live in a data-driven world!.srt
02 - Our use case.mp4
02 - Our use case.srt
03 - Raw data is messy.mp4
03 - Raw data is messy.srt
04 - Role of data in the machine learning workflow.mp4
04 - Role of data in the machine learning workflow.srt
03 - 2. Understanding Data
01 - Data with a structure.mp4
01 - Data with a structure.srt
02 - Data without a structure.mp4
02 - Data without a structure.srt
03 - Using simple Python code to check your data.mp4
03 - Using simple Python code to check your data.srt
04 - Python for data preprocessing with Pandas and Matplotlib.mp4
04 - Python for data preprocessing with Pandas and Matplotlib.srt
05 - Challenge Load and check the data using Python.mp4
05 - Challenge Load and check the data using Python.srt
06 - Solution Load and check the data using Python.mp4
06 - Solution Load and check the data using Python.srt
04 - 3. Data Preprocessing
01 - Data preprocessing the telecom dataset.mp4
01 - Data preprocessing the telecom dataset.srt
02 - Introduction to text preprocessing.mp4
02 - Introduction to text preprocessing.srt
03 - Challenge Data preprocessing the telecom dataset.mp4
03 - Challenge Data preprocessing the telecom dataset.srt
04 - Solution Data preprocessing the telecom dataset.mp4
04 - Solution Data preprocessing the telecom dataset.srt
05 - 4. Exploratory Data Analysis
01 - Exploratory data analysis (EDA).mp4
01 - Exploratory data analysis (EDA).srt
02 - Challenge Perform exploratory data analysis.mp4
02 - Challenge Perform exploratory data analysis.srt
03 - Solution Perform exploratory data analysis.mp4
03 - Solution Perform exploratory data analysis.srt
06 - 5. Predictive and Generative AI
01 - Overview of predictive and generative AI.mp4
01 - Overview of predictive and generative AI.srt
02 - What is deep learning.mp4
02 - What is deep learning.srt
03 - Generative modeling use cases.mp4
03 - Generative modeling use cases.srt
04 - Predictive modeling use cases.mp4
04 - Predictive modeling use cases.srt
07 - 6. Deep Learning Build and Evaluate a Predictive Model
01 - Deep learning Predict customer lifetime value.mp4
01 - Deep learning Predict customer lifetime value.srt
02 - Challenge Predict customer lifetime value.mp4
02 - Challenge Predict customer lifetime value.srt
03 - Solution Predict customer lifetime value.mp4
03 - Solution Predict customer lifetime value.srt
08 - 7. Capstone Build and Evaluate a Predictive and Generative Model
01 - Introduction to capstone and use case.mp4
01 - Introduction to capstone and use case.srt
02 - Challenge Predict media channel sales using Keras.mp4
02 - Challenge Predict media channel sales using Keras.srt
03 - Solution Predict media channel sales using Keras.mp4
03 - Solution Predict media channel sales using Keras.srt
04 - Optional challenge Generate sentiments using BERT.mp4
04 - Optional challenge Generate sentiments using BERT.srt
05 - Solution Generate sentiments using BERT.mp4
05 - Solution Generate sentiments using BERT.srt
09 - Conclusion
01 - Next steps.mp4
01 - Next steps.srt
Bonus Resources.txt
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