Word Cloud in Python |ML Case study-1 | Data Science Project | Data Visualization | EDA |
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...
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#datascience
#machine_learning
#datavisualization
#eda
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