Meaningful Representation: Encoding provides a more meaningful representation of data that models can interpret and learn from. Feature Engineering: Creating new encoded features can help in engineering additional features that capture important information, improving model performance.

Thanks Ammar Sir

Interested!

no space between dash and day 5

three underscore for bold ad italic ___bod and italic___

markdown with baba ammar is very easy in codanics

# power BI with codanics

Informative video. Thanks for uploading this video. It helped me a lot.

if I have some question about my audio data , where I can ask you? what standarization and normalization we can apply on mel spectograms?

baqi bara maza araha hai hehehhehe

Jazakalla khair , Allah apke baba ko jannat k sab se higher accuracy waley platform pe jagaa dey. Ameen... :) I just do pray for your father after listening first lecture of this series because you mention him. Additionally , May Allah also make you a successful, peaceful , healthy , wealthy man always :)

Mark Down made easy by Dr. Ammar

Doctor Saib you doing a great job, thanks for sharing the knowledge and useful information. Honestly learned a lot from your lectures, kindly make a lecture on data collection. I mean where can download data, especially infectious disease data.

Watching fron lahore FC . Looking for Master or phd after my degree i completion ( biotech) in 2025.

3 degree means: highest power of x in the polynomial equation will be the 3. Benefit of high degree Polynomial Equation: A high-degree polynomial can more accurately fit complex dataset Disadvantage of high degree Polynomial Equation: Computational Costs will be higher.

slam I m musarat from karachi

good work

thank you sir for giving knowledge❤

col(4,81) giving error because sir only had given 8 columns name(ABCDEFGH).. we have to name all 81 columns .........or we cannot apply columns name because 81 is a large number to give all columns name.

thanks. my 11 year old kid has started to learn this chilla .

thanks

❤❤❤

Sir mene Ph.d schlorship k lia ana haa

Amber

Sr ni ty ni tose

Power bi

Nice work

Good work

nice cup :p Thank you for simplifying encoding techiques with simple examples. :)

Thank You Sir

Sir bioinformatics scholarship hai

Great Amaar. Can't express thanks in words. I just submitted an application for TUM Germany.

informative content

Excellent Dr Ammir, its really informative and your style of presentation is so simple/ We proud of such intelligent and hardworking Pakistani

Allah pak app k baba ko jannat ma bohat ala muqam atta farmaye Wo dunya ma aik bohat naik beta chor Kar Gaye hain Allah app ko bohat hush rakhy Ameen

Thanks for sharing❤❤

1) define the problem (what is your aim?) 2) data collection > quality of error , or data gathering... use available free data 3)data pre-processing find missing value 4) Choose a model based on available data e.g linear regression , classification , clustering (unsupervised learning) 5) Splitting the data: > 80% for training , 20% for testing , choose the dependent and independent variables, and spend 80% of the time on this step 6) Evaluating the model using R^2 , MSE, and RMSE 7)hyperparameter tuning Training + testing > cross-validation 9)model finalization 10) deploy the model, which required huge amount of money, which is not my thing ..

11:28 so being a bioinformatician we should keep the standards of describing the data .

Jaza KAllah❤❤

1:13 metadata is the information of data about other data

Nice Content

Who will se this video in 2k24😂

Links? 😢

ماشاءاللہ 😊 Babag

Helpful content

Useful clip

Jazakallah khair Sir ❤

AOA sir I am hussain Ali from Pakistan Gilgit baltistan

Ready sir !