How to Build a Winning Dream 11 Team Using Python | IPL Dataset | Live Bootcamp | IvyproSchool

Are you looking to build a winning Dream 11 team? Look no further! In this video, we'll show you how to use Python to select the best players and create a winning lineup.

First, we'll introduce Dream 11 and explain how to select players. Then, we'll dive into the world of open source and Pandas, a powerful Python library for data analysis.

We'll import the dataset and take a closer look at the data provided. Using statistical analysis, we'll identify patterns and understand the distribution of data. We'll also learn about skewed distributions and how to manipulate data in Pandas.

To create categorical data points, we'll split the data into training and testing samples and use machine learning techniques. We'll normalize the data to ensure accuracy, and compare the performance of different models.

Finally, we'll analyze the results and draw conclusions about our Dream 11 team. With these techniques and tools, you'll be able to create a winning team every time.

Join us for this exciting and informative video on how to build a Dream 11 team using Python. Don't miss out on this opportunity to take your game to the next level!

Dataset Link - https://drive.google.com/file/d/1nlWG...

00:00 - Introduction
00:47 - What is Dream 11?
01:59 - How to select a player in Dream 11?
08:08 - What is Open Source?
10:50 - What is Pandas?
11:38 - Importing the DataSet
16:02 - Understanding the Data Provided.
20:45 - Doing a quick statistical analysis of the data
26:17 - What is a skewed distribution?
28:28 - Data Manipulation in Pandas.
35:49 - Creating categorical data points.
39:06 - Splitting the data into training and testing samples - Machine Learning
41:16 - Normalization of Data.
45:47 - Comparing Model performances
48:06 - Analysing the Machine learning results
48:53 - Conclusion

#dream11 #ipl2023 #pythonbootcamp #fantasysports

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