Part 1 Data Exploration: Statistical analysis/Exploratory Data Analysis
Part 2 Feature Preprocessing: Data Spliting /One Hot Encoding/Data Standardization
Part 3 Model Training and Evaluation: Models Comparison/Model Evaluation - Confusion Matrix/ROC & AUC
Part 4 Find the Best Machine Learning Model: Optimizing Hyperparameters of LogisticRegression&KNN&Random Forest via Grid Search and pick up the best one
Part 5 Model Extra Functionality - Importance Feature: L1&L2 regularization to logistic regression/Random Forest - Feature Importance
----About Dataset----
Extraction was done by Barry Becker from the 1994 Census database. Prediction task is to determine whether a person makes over 50K a year.
Columns are: age: continuous.
workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked.
fnlwgt: continuous.
education: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool. education-num: continuous.
marital-status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse.
occupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces.
relationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried.
race: White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black.
sex: Female, Male.
capital-gain: continuous.
capital-loss: continuous.
hours-per-week: continuous.
native-country: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands.
salary: <=50K or >50K
Source: https://archive.ics.uci.edu/ml/datasets/Census+Income
Thumbnail: https://www.deskera.com/blog/net-salary/