Machine Learning with Data Science using Python
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https://www.hopelearning.net/wp-content/uploads/2020/09/Ml-Welcome-3.m4v Machine Learning with Data Science Machine Learning is a utilization of Artificial Intelligence (AI) which makes the machines to learn on their own…
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Data Science using Python
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https://www.hopelearning.net/wp-content/uploads/2020/09/Data-Science-1.m4v DataScience Data Science is the study of data involving the development of models and methods to juice out the required result. There is…
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Thank you good content
Excellent session mam really
Briefly explained about the clustering algorithm
Clearly explained about the hierarchical Clustering
Mean = average of the values where it can be central point of all the values in the dataset
median = midpoint of a dataset.
if mean an median are same then our way of approaching the problem is correct else there it is an OUTLIER value present in it
Mode = frequency or occurence of a dataset
These 3 estimations are called estimation of central tendency
super example
Your lecture will motivate me to learn. And I have to gain more information from your lecture.
Really had a great knowledge about What is data science.
f g c d b c
A good task to understand the concepts.
percentile:the value between the given range
Lasso Regression is a popular type of regularized linear regression that includes an L1 penalty. This has the effect of shrinking the coefficients for those input variables that do not contribute much to the prediction task.
Clearly understandable
Easily learnt these concepts
Briefly explained
this whole module is fine and worth
Inferential analysis summed really well
Inferential analysis summed up really well
1)If a particular cell is converted as markdown, and you run the program, it will convert into heading
2)Syntax to read a csv file =pd.read_csv(csv filename)
1) To traverse through columns:
for i in dataset.columns
Percentile : Tells about the value exist within the range