Data Science Fundamentals Summer 2023 (4 credit) CSCI455 10 students **Undergraduate Class & Lab

This is the class content for Data Science. The Github link is:

https://github.com/spawar2/Data-Science-Fundamentals-Summer-2023

Data Science:

Machine Leaning: https://youtu.be/Pju8ecWWRAw

Tree Based Models: https://youtu.be/FOtl6qM_nX0

Regression: https://youtu.be/LrSDfwwnbKY

Intro: https://www.youtube.com/watch?v=ZwILpqjYoLU&ab_channel=ShrikantPawar

Intro 2: https://youtu.be/HLduzJRUzJQ

Github: https://github.com/spawar2/Data-Science-Fall2022

Data Science (Data wrangling, visualization, Machine Learning QDA, LDA, ROC, Decision Trees, Regularization, Descriptive and inferential statistics, probability distributions, variable types, distribution properties, discrete & continuous types, R functions, ANOVA, T-test, correlation, chi-Square, regressionText Analysis Feature Engineering, Classification and Model Evaluation, Regression: Basics and Prediction, Evaluation and Interpretation, Clustering, etc.).

https://campuspress.yale.edu/shrikantpawar/files/2024/05/Student-Evaluations-2021-2024-3df60a3eaf357f31.pdf