Online Summer Training in Machine Learning and Data Science with Python | Class-13

Decision Tree

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#LinearRegression #MachineLearning #PythonOnlineTraining #PythonTraining #datasciencetraining

[maryamtajeddin]

GO_STP_1075
Today, we learnt about decision trees, the DT concept, Entropy and Information Gain, and how to implement it using the sklearn libraries.
Thank you Goeduhub for all your dedication and effort.

[aryangomladu]

In this session we learnt about decision tree and it's implementation

[abhimathur]

In this season we are learnt about
decision trees
how to apply them
it's implementation and theory.

[namitameena]

Todays class I have learnt descision trees, and enteophy, implementation

[rajkumarrankawat]

GO_STP_9387
summary->
decision tree algorithm it is one of the supervised machine learning algorithm. It uses for both regression and mostly for classification. then we implement decision tree algorithm using Irish dataset from sklearn library

[prachimathur]

In todays class we have learnt about decision tree and implementation.

[manvi]

GO_STP_3:
In this session I learnt about decision trees, it's algorithm, use and implementation.

[jishantukripal]

GO_STP_874


In this session, I learn about Decision Tree ( another supervised ML algorithm ). I also learn how the algorithm work and the mathematics behind it & the practical implementation of Decision tree.

Thanks & Regards
JISHANTU KRIPAL

[saikumarc]

Go_stp_3259

1.kmeans is used in various application such as market segmentation, document clustering, image segmentation etc..

2. In cluster analysis, the elbow method is heuristic used in determining the no of clusters in a data set.

3. It consists of plotting the explained variations as function of no of clusters, and picking the elbow of curve a s the number of clusters.

4. We calculate the within cluster sum of squares(wcss).wxss is the sum of squares of distances of each data point in all clusters to their respective centroids to reduce the sum.

5. It is used in high level interface for drawing attractive and informative statistical graphics.

6.Seaborn and matplotlib are two of pythons most powerful visualization libraries .seaborn uses fewer syntax and has stunning default themes and matplotlib is more easily customizable through asscessing the classes.

7.In seaborn, hue parameter determines which columns in the data frame should be used for clolour encoding Adding 'hue="smoker"tells seaborn you want to colour the data points for smoker and non smoker differently

[lithiyaletchumy]

GO_STP_4662

Day 13 of 45: This session taught us about the definition of decision tree, why we use decision tree, how does the algorithm works and the implementation of decision tree with some examples. It was a nice learning session. Thank you :)

[anjaliprajapat]

GO_STP_5690 :
i have learnt about decision tree algorithm. It uses for both regression and mostly for classification. then we implement decision tree algorithm using Irish dataset from sklearn library.

[harshal]

GO_STP_9068
Today session i learned
i>decision tree.
ii>entropy.
iii>information gain.
iv>decision tree algorithm.

[BoomBoom-zrqu]

GO_STP_9672

it was a informative class 13:- I have learn lots of things like
Define decision tree, Terminology, How we use decision tree, How does algorithm work of decision tree, Practical implementation of decision tree in Python.
thank for such informative class.

[vishvajeet]

GO_STP_4180
Session summary- Decision tree and it's implementation and working

[AkashSingh]

GO_STP_323:---

In this session, I have discussed the concept of a decision tree and implemented it with an example. Next, I have seen the entropy and done various operations on the dataset by taking classifier example we predicted the model and calculated its accuracy, and then seen the confusion matrix. At last, we have seen the decision tree of the classifier example.

[tanyapriya]

GO_STP_6129
The instructor was very knowlegeable and provided a wealth of information. Effective learning. Instructor did a fabulous job pacing everything and addressing student questions

[sakshichavan]

GO_STP_440:
In todays session I learnt about Decision trees: the use of it, the algorithm and the implementation.

[coding_bro]

GO_STP_90

In this session, we learnt about decision trees and their usage, we learn about different terminologies related to it. We looked into entropy, information gain and the Mathematics behind them. We looked into it's implementation and checked the accuracy of the model.

[praveenchoudhary]

GO_STP_6662 : In this session we have learnt about decision tree algorithm it is one of the supervised machine learning algorithm. It uses for both regression and mostly for classification. then we implement decision tree algorithm using Irish dataset from sklearn library.

[sakshibhatia]

GO_STP_101
In today's class we learnt all about descision trees, its mathematical intuition and its implementation.