• Class Repository • Orientation Slidedeck • Additional Resources
<iframe src="https://calendar.google.com/calendar/embed?src=flatironschool.com_qk5fksmkk2k0hog9t6nk93ftvo%40group.calendar.google.com&ctz=America%2FNewYork&src=ZmxhdGlyb25zY2hvb2wuY29tX3FrNWZrc21razJrMGhvZzl0Nm5rOTNmdHZvQGdyb3VwLmNhbGVuZGFyLmdvb2dsZS5jb20&color=%23F09300&mode=WEEK&showCalendars=0" style="border:solid 1px #777" width="800" height="600" frameborder="0" scrolling="no"></iframe>| Topic | Resources | Recorded Lecture |
|---|---|---|
| Orientation | Orientation Slides | Welcome! |
| Tools of the Trade | Python Fundamentals | Part 1 • Part 2 |
| Intro to Python | Python | Part 1 • Part 2 |
| More Python | Python 2 | Part 1 • Part 2 |
| Coach Lab: Git | Git Slides | Video |
| Coach Lab: Python Practice | Notebook | Video |
| Working with Modules | Libraries - NumPy | Built-in Modules • Numpy |
| Intro to Pandas | Pandas 1 | Part 1 • Part 2 |
| Topic | Python Notebook | Recorded Lecture |
|---|---|---|
| More Pandas | Pandas 2 | Part 1 • Part 2 |
| Coach Lab: Pandas Practice 101 | Notebook | Video |
| Manipulating Pandas Dataframes | Pandas 3 | Video |
| Visualizations | Notebook | Matplotlib • Seaborn |
| Coach Lab: Pandas Practice Plus Plots | Notebook | Video |
| SQL | SQL Notebook | Video |
| Coach Lab: Git Branches | Branching+Merging+Pull Requests | Video |
| Advanced SQL | SQL Lab Notebook | Part 1 • Part 2 |
| Topic | Python Notebook | Recorded Lecture |
|---|---|---|
| Statistical Distributions | Notebook | Video |
| Central Limit Theorem | Notebook | Video |
| Hypothesis Testing | Notebook | Video |
| T-Testing | Notebook | Video |
| A/B Testing | Notebook | Video |
| Module 1 Assessment Review | Shared in Slack | Video |
| Topic | Python Notebook | Recorded Lecture |
|---|---|---|
| Linear Regression - Theory | Notebook | Video |
| Linear Regression - Implementation | Notebook | Video |
| Coach Lab - Regression Assumptions | Notebook | Video |
| Multiple Linear Regression | Notebook | Video |
| Categorical Variables & Diagnostics | Notebook | Video |
| Coach Lab - Linear Regression Practice | Notebook | Video |
| Scaling, Normalization, & Transformations | Notebook | Video |
| Polynomial Transformations & Interaction Terms | Notebook | Video |
| Coach Lab - Interpreting Scales | Notebook | Video |
| Model Validation & Cross Validation | Notebook | Video |
| Topic | Python Notebook | Recorded Lecture |
|---|---|---|
| Linear Algebra (Vector Math) & Cost Functions | Notebook | Video |
| Regularization: Ridge & Lasso | Notebook | Video |
| Coach Lab: Regularization Practice | Notebook | Video |
| Logistic Regression | Notebooks | Theory • Implementation |
| Module 2 Assessment Review | Shared in Slack | Video |
| Classification Metrics and LogReg Practice | Notebook | Video |
| Coach Lab: Logistic Regression Practice | Notebook | Video |
| Topic | Python Notebook | Recorded Lecture |
|---|---|---|
| Class Imbalance | Notebook | Video |
| K-Nearest Neighbors | Notebook | Video |
| Coach Lab - Classification Practice | Notebook | Video |
| Decision Trees | Notebook | Video |
| Pipelines + ROC/AUC Curves | Notebook | Video |
| Coach Lab - Decision Trees Practice | Notebook | Video |
| Random Forest | Notebook | Video |
| Hyperparameter Tuning with GridSearch | Notebook | Video |
| Support Vector Machines | Notebook | Video |
| Principle Component Analysis | Notebook | Video |
| Topic | Python Notebook | Recorded Lecture |
|---|---|---|
| Intro To Natural Language Processing (NLP) | Notebook | Video |
| Time Series Modeling | Notebook | Video |
| Unsupervised Learning - Clustering | Notebook | Video |
| Intro To Neural Nets | Notebook | Video |
| Web Apps: StreamLit + Heroku | Notebook | Video |
| Web Apps: Flask | Notebook | Video |
| Convolutional Neural Nets | Notebook | Video |
| RNNs & LSTMs (pass=commitment) | Notebook | Part 1 • Part 2 |
| Recommendation Systems | Notebook | Video |
| Project | Recording |
|---|---|
| First Project | Lindsey's Group • Ammar's Group |
| Case Study | Whole Class |
| Client Project Kick-Off | Video |
| Final Project Presentations | Lindsey's Group • Ammar's Group |
| Guest | Recording |
|---|---|
| Derek Chang and Charles Pensig, Stratus Data | Video |
| Mike Cohen, Substack | Video |
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