Data Science Fundamentals, Summer 2023 (4 credit) CSCI455 10 students **Undergraduate Class & Lab https://www.claflin.edu/ Claflin University, Orangeburg, South Carolina, United States of America. https://www.claflin.edu/academics-research/schools-departments/school-of-natural-sciences-and-mathematics/department-of-mathematics-computer-science/computer-science

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

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

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

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

Semester class review: https://youtu.be/Pju8ecWWRAw

Data Science (Data wrangling, visualization, Machine Learning QDA, LDA, ROC, Decision Trees, Regularization, Descriptive and inferential statistics, probability distributions (Discrete, Binomial, Poisson, Continuous Uniform, Chi-squared, Student-t, Fisher,)  Exponential, Normal, Chi-Square), variable types, distribution properties, discrete & continuous types, R functions, Analysis of Variance (ANOVA), T-test, correlation, chi-Square, regressionText Analysis Feature Engineering, Classification and Model Evaluation, Regression (linear, multiple, logistic): Basics and Prediction, Evaluation and Interpretation, Clustering, etc.).

https://campuspress.yale.edu/shrikantpawar/files/2024/05/Student-Evaluations-2021-2024-3df60a3eaf357f31.pdf​https://campuspress.yale.edu/shrikantpawar/files/2024/11/Probability-distributions-functions-1-300x215.png