Giter Club home page Giter Club logo

general_learning's People

Contributors

couyang24 avatar tiffanysn avatar

Watchers

 avatar

Forkers

couyang24

general_learning's Issues

Aug 24

  • TCA model

  • watch YT: implementation

  • back-testing, scenario test @couyang24

  • Jenkin
    watch YT : setup, unit test
    pytest

  • SQL
    more practice on Partition by, Join( explain the differences)
    ETL, design, structure @couyang24

  • Shiny @couyang24
    Streamlit, python(seaborn, plotly)

  • knowledge
    object, pipline, ensemble model, machine learning, deep learning, xgboost, linear regression

  • go through CV
    build project

Quantium_task2

  • Apply the scaling factor

  • Calculate the percentage difference between scaled control sales and trial sales

Quantium task 2- get NH for nCustomers

  • Scale pre-trial control customers to match pre-trial trial store customers
  • apply the scaling factor to control store customer counts
  • calculate the percentage difference between scaled control store customers and trial customers
  • standard deviation
  • Control store 5th & 95th percentile
  • plot

Titanic Dataset EDA

  • Find number of rows and columns
  • FInd what is the target variable
  • Find data type of the feature variables
  • Is there any missing value and how should be impute the values (potential solutions)
  • Visualize the distribution of some features/ target
  • Find the connection between features and target

Sep 1

  • Apply PC role

  • Datacamp- SQL DB

QCT 8

  • U practice in Python

  • SQL datacamp

Kaggle Tatanic

  • Survival rate by different segments (sex, age and p-class etc)
  • Biggest survived group
  • Imputation missing values

OCT 15

  • REPORTING IN SQL & REAL WORLD PROBLEM

  • COURSERA Python/ WEEK 1

machine learning

  • use sklearn to make ml model
  • based on the model of your choice identify the feature importance
  • submit the result to kaggle to check performance

Quantium Task 2

  • Create function to cal the correlation

  • Standardise the magnitude distance

  • Create a combined score composed of correlation and magnitude

  • Select the most appropriate control store

  • Visual checks on trends

  • Complete Part 1: Select control store

Aug23

  • Linear Regression
    stats quest

  • General Qs
    introduction / why us / describe a day / career goal /

  • xgboost
    GBM / Decision Tree

  • Object-Oriented
    Coursera Python 3

  • SQL
    join / partition by

  • Streamlit
    geographic

  • Jenkins
    unit test

Streamlit

  • Stock price app

  • Sales data app

  • Seaborn, plotly

  • groupby, pivot, str extract

  • SQL join

  • Jenkins

  • ML knowledge

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.