Word Cloud in Python |ML Case study-1 | Data Science Project | Data Visualization | EDA |

Veröffentlicht am: 22 April 2022
auf dem Kanal: DS Bridge

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Till now we have covered 5parts for this case study
Part-1: problem statement.
   • |ML case study1| part-1| Problem statement.|
Part-2: Missing value Analysis
   • |Missing value Analysis| part-2| machine l...
Part-3: meta features Analysis.
   • ML Case Study-1 | Meta Features Analysis |...
Part4: ngram analysis
   • Concepts Behind N-grams | ML Case study-1 ...
And
   • N-gram analysis | part -4(b) | ml case stu...
Part-5 data cleaning
Theoretical:
   • What are the Data cleaning steps| part -5(...
Practical:
   • Data preprocessing in python | part-5(b) |...

And For preparing data science interview, please watch the below
Crack Data Science Interview:
1. Top 5 interview questions(Part-01):    • Top 5 Interview Questions for Data Scienti...
2. Top 5 interview questions(Part-02):    • Top-5 Interview Questions for Data Scienti...
3. Top 5 interview questions(Part-03):    • #Top 5 question From Regression metrics | ...
4. Top 5 interview questions(Part-04):    • Important interview questions for Data sci...
5. Top 5 interview questions(Part-05):    • Interview Questions of Feature Engineering...
6. Top 5 interview questions(Part-06):    • #Interview Questions from #Accuracy | #Con...
7. Top 5 interview questions(Part-07):    • Regularization Questions asked in Data Sci...
8. Top 5 interview questions(Part-08):    • Model accuracy  vs model performance |Grid...
Linear Regression:
1.Linear Regression Assumption:    • Linear Regression | Basics | Assumption | ...
2.Covariance and Correlation:    • How Correlation solves the problem of cova...
3.Measure the quality of fit:    • How to measure the quality of best fit in ...
4.Coefficient of correlation and coefficient of determination:    • Difference between Coefficient of correlat...
5. Implementation of Linear Regression code with Numpy:    • Implementation of Linear Regression |Pytho...

#wordcloud
#nlp
#datascience
#machine_learning
#datavisualization
#eda

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