Summary of Understanding Your Data | Day 19 | 100 Days of Machine Learning
The video focuses on understanding data in machine learning, with the speaker planning to cover the topic over the next 14 videos.
The speaker discusses the importance of asking basic questions when first obtaining a dataset.
The speaker demonstrates how to analyze the size of the dataset, the number of columns, and the data types of each column using Python libraries.
The speaker emphasizes the significance of identifying missing values, duplicate values, and correlations between columns in the dataset.
The speaker uses the Titanic dataset as an example to illustrate these concepts and provides tips for data analysis and optimization.
The speaker encourages viewers to follow along with the upcoming videos to gain a deeper understanding of their data.
Speakers
- Yagya
- Unnamed speaker from the YouTube channel "Dress for machine learning"
Notable Quotes
— 04:52 — « If you want to see, then you should try using this spoon batter approach team Sudhansh and second question, third, »
— 10:15 — « I hope you have understood this thing also. Next one more important question is whether you have duplicate values because, »
— 13:46 — « There is a strong negative relationship with this column., »
— 14:00 — « if you have worked with the leadership on Titanic then you would know that here the peace class and on extremism, only the cheapest one has killed the maximum number of people there.] »
Category
Educational