Good evening Prof. Hope you are fine sir. Here is my assignment on lists. I am sorry is just coming now. I had some challenges that made me not to meet up with classes and submission.

In the second screen shot have to rerange them before coding it but after saving it, it turn out to a different look.

Thank you sir for your understanding
Stanley Omeike

Good evening Prof. Hope you are fine sir. Here is my assignment on lists. I am sorry is just coming now. I had some challenges that made me not to meet up with classes and submission.

In the second screen shot have to rerange them before coding it but after saving it, it turn out to a different look.

Thank you sir for your understanding
Stanley Omeike

Good evening Prof. Hope you are fine sir. Here is my assignment on lists. I am sorry is just coming now. I had some challenges that made me not to meet up with classes and submission.

In the second screen shot have to rerange them before coding it but after saving it, it turn out to a different look.

Thank you sir for your understanding
Stanley Omeike

Good morning Mr Stanley Omeike(Prof) sir, I brought it to your notice that the visual studio code notebook for yesterday was not posted on this platform yet, though the video recording had been posted. Please I would appreciate it if the academy could help me post it because I missed yesterday's class due to an official engagement

Completed two Python functions: "vizOutlier" & "vizNumCols".

"vizOutlier": Easily Identify Outliers in Your Data with Python!
For a quick and efficient way to visualize outliers in your data,✨ This handy Python function creates boxplots for any numerical columns in your DataFrame, making it simple to spot outliers.

"vizNumCols": Visualize Your Data's Numerical Columns with Ease!
To explore the distribution of your data's numerical columns, this easy Python function generates histograms for any list of numerical columns in your DataFrame.

Completed two Python functions: "vizOutlier" & "vizNumCols".

"vizOutlier": Easily Identify Outliers in Your Data with Python!
For a quick and efficient way to visualize outliers in your data,✨ This handy Python function creates boxplots for any numerical columns in your DataFrame, making it simple to spot outliers.

"vizNumCols": Visualize Your Data's Numerical Columns with Ease!
To explore the distribution of your data's numerical columns, this easy Python function generates histograms for any list of numerical columns in your DataFrame.

Completed two Python functions: "vizOutlier" & "vizNumCols".

"vizOutlier": Easily Identify Outliers in Your Data with Python!
For a quick and efficient way to visualize outliers in your data,✨ This handy Python function creates boxplots for any numerical columns in your DataFrame, making it simple to spot outliers.

"vizNumCols": Visualize Your Data's Numerical Columns with Ease!
To explore the distribution of your data's numerical columns, this easy Python function generates histograms for any list of numerical columns in your DataFrame.

#pythonisters
🚀 Just finished coding correlators – a new Python tool to discover strong data correlations effortlessly! Perfect for #datascience and #dataanalysis. Dive in and unlock insights with ease!
It highlights pairs of features with correlation coefficients of 0.8 or higher. This means you can pinpoint strong relationships between variables with just a glance.
#datascience #python #dataanalysis #correlation #techtuesday

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