Skip to content

Dr-Salcedo/dc_ds_04_22_19

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Data science fellowship 04/22/19

Data science calendar

Calendar

Important links

student master sheet

Week I - mod1

One Two Three Four Five
Warm-up Dictionary
solution
For loops
solution
pandas & numpy
solution
numpy *hard
solution
Morning code advanced loops manipulating with pandas
Morning video advanced loops video manipulating with pandas video
Afternoon code Terminal Git assignment to loops pandas & numpy intro matplotlib
Afternoon video assignment to loops video TBD matplotlib video

Week II - mod1

Six Seven Eight Nine Ten
Warm-up matplotlib
solution
apply, lambda & groupby
solution
dict + numpy random
solution
Linear regression
solution
Morning code Tidy data
Cleaning Lab
seaborn Multiple linear regression Cross - validation
Morning video seaborn video multiple linear regression video
Afternoon code Coding best practices Linear regression Feature scaling & manipulation Quality deliverables Data Cleaning Coach Lab
Afternoon video Best practice video linear regression video Quality deliverables video Data Cleaning Coach Lab

Week IV - mod2

Eleven Twelve thirteen Fourteen Fifteen
Warm-up
Matrix multiplication+ regression
solution
SQL joins
solution

Morning code Sql JSON
Morning video
Afternoon code OOP APIs Scraping
Lab - scraping & APIs
Afternoon video Web Scraping / API

Week V - mod2

Sixteen Seventeen Eighteen Nineteen Twenty
Warm-up APIs


Morning code
Morning video
Afternoon code SQL lab SQL lab with solutions Probability
Afternoon video

Week VI - mod3

Twenty one Twenty two Twenty three Twenty four Twenty five
Warm-up

Bootstrap
Solution
1. Uniform sampling
Solution
2. P values
Binomial distribution
Solution
Morning code sampling + t dist.
Morning video
Afternoon code hypothesis-testing effect-power
Distribution lab -audio
Afternoon video

Week VII - mod3

Twenty six Twenty seven Twenty eight Twenty nine Thirty
Warm-up t-test
Solution
Naive bayes
Solution



Morning code Project Project Project
Morning video
Afternoon code
Afternoon video

Week VIII - mod4

Thirty one Thirty two Thirty three Thirty four Thirty five
Warm-up




Morning code Calculus Lasso & Ridge Classification
Morning video
Afternoon code Logistic regression
Afternoon video

Week IX - mod4/mod5

Thirty six Thirty seven Thirty eight Thirty nine Forty
Warm-up




Morning code Project Project
Morning video
Afternoon code Time series - Bryan Time series - Alison KNN SVM
Afternoon video Time series

Week X - mod5

Forty one Forty two Forty three Forty four Forty five
Warm-up KNN
K means
PCA
Decision trees

Morning code K-means Decision trees PCA HDFS
Morning video Decision trees
Afternoon code Random forest lecture
Randon forest lab
Data spark
Afternoon video Random forest lecture
Random forest lab

Week XI - mod5

Forty six Forty seven Forty eight Forty nine Fifty
Warm-up grid search pipeline
Interview Practice Questions



Morning code Spark ML Recommendations July 4th
Morning video Spark ML Recommendations
Afternoon code
Afternoon video

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 81.3%
  • HTML 18.6%
  • Other 0.1%