Data Scientist:
Understanding the problem
Getting your Data
Cleaning / Preparing Data
Exploratory Data Analysis
Predictive Modelling / Machine Learning
- Choosing Model
- Training Model
- Validating Model
- Testing Model
6. Storytelling (Report, Dashboard, etc)
Machine Learning:
Regression: Linear, Polynomial, Ridge/Lasso
Clustering: K-means, DBSCAN, Hierarchical
Classification: Decision Trees, SVM, KNN, Decision Trees, Logistic Regression
Dimension Reduction: PCA, LDA, GDA
Time Series Analysis
Optimization Techniques: Gradient Descent, Genetic, Particle Swarm
Neural Networks