Note of data science training EP 14 END – Data scientists did their mistakes
Here are the advices for frequent mistakes committed by data scientists.
bluebirz
Note of data science training EP 13: Regularization – make it regular with Regularization
There are always outliers in the data. How can we deal with overfitting model?
Do a presentation quick with Data Studio
Data Studio is free and need less time to do the job done.
When I worked with Microsoft Excel
This program can increase your productivities and let you have more leisure times.
Note of data science training EP 12: skimage – Look out carefully
Image processing is a branch of data science theories. Apparently Python also has the library of this job.
Note of data science training EP 11: NLP & Spacy – Languages are borderless
Computers are capable to learn human languagues.
Note of data science training EP 10: Cluster – collecting and clustering
How to find the lifestyle of 100 customers in each terms e.g. bookworms, sport guys, and shoppers.
Note of data science training EP 9: NetworkX – Map of Marauder in real world
NetworkX is a python library to help us solve those map-like problems.
Note of data science training EP 8: Ensemble – Avenger's ensemble
Ensemble can calculate the best results from combining many algorithms on different feature sets.
2-Factor Authentication - Security of our privacy
How can we protect our accounts like the way we bought locks and keys or kind of to protect our house doors?