Data Science Cohort 4

Tools

• VSCode
• Terminal
• Git
• (Ana)Conda

Operating System

• Linux (Ubuntu)
• MacOS
• Windows 10

Schedule

Week 1 : Python

• In Person
• Computer Setup
• Python Fundamentals
• Git
• Github
• Python OOP
• Testing with Pytest
• Monte Carlo Techniques
• Overview of Probability and Linear Algebra
• Modeling with KNN
• Assessment 1

Repositories

• Dogs - OOP
• Vectors - OOP, Linear Algebra
• Matrices - OOP, Linear Algebra
• Monte Carlo - OOP, Probability
• Iris Data Set - KNN Modeling

Week 2 : EDA

• Remote
• Numpy
• Pandas
• Matplotlib
• Loading CSV Data
• Cleaning Data
• Analyzing Data
• Plotting Data

Recordings

• Wednesday
• Thursday
• Friday

Repositories

• Numpy Basics
• Numpy Vectors
• Pandas Basics
• Pandas Hospital Assignment
• Pandas Hospital Assignment Solution
• Pandas Missing Data
• Matplotlib Lecture
• Pandas Plotting and Baseball Assignment
• Matplotlib Solution

Week 3 : Probabilty and Statistics

• Remote
• Statistics Overview
• Moments
• Counting
• Set Theory
• Probability Theory
• Probability Distributions
• Bayes Law
• Central Limit Theorm
• Law of Large Numbers
• Sampling
• Hypothesis Testing

Week 4 : Linear Algebra, Linear/Logistic Regression

• In Person
• Linear Algebra
• Simple and Multiple Linear Regression
• Cross Validation
• Bias vs Variance
• Classification
• Logistic Regression
• ROC
• Confusion Matrix

Week 5 : Decison Trees

• Remote
• Information Theory
• Decision Trees
• Random Forest
• Bagging
• Boosting

Week 6 : NLP, Naive Bayes

• Remote
• Text Featurization
• Natural Language Processing
• Naive Bayes
• Spam Filtering

Week 7 : KMeans, Clustering

• In Person
• Unsupervised Learning
• Clustering
• KMeans
• Hierarchical Clustering

Week 8 : Recommender Systems, PCA, NMF

• Remote
• Recommender Systems
• Principal Compontent Analysis
• Matrix Factorization
• Dimensionality Reduction

Week 9 : Neural Networks Part I

• In Person
• Thery of Neural Networks
• Feed forward
• Back propagation
• Fully Connected Networks
• Convolutional Neural Networks

Week 10 : Neural Networks Part II

• Remote
• Tensorflow
• Keras
• CPUs vs GPUs
• Recurrent Neural Networks
• Generative Adversarial Networks

Week 11 : Capstone

• Remote
• Work on Capstone

Week 12: Capstone

• Remote
• Work on Capstone

Week 13: Capstone

• In person
• Capstone Week
• Presentations