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Capstone Kickoff!
Yish Lim
539 подписчиков
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200 видео с канала:
Yish Lim
Capstone Kickoff!
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Phase 4 Project Presentations!
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Phase 4 Office Hour
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Linear Regression Guided Practice (DS Flex 11/08/2021)
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Phase 4 Project Kickoff
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Topic 42: Tuning Neural Networks
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Topic 36: Recommendation Systems
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Topic 41: Deep Neural Networks
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Topic 40: Neural Networks
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Topic 39: Advanced NLP
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Topic 39: Natural Language Processing
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Topic 38: Time Series Models
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Topic 37: Time Series Data
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Capstones: Prepping for DS Interviews
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Topic 35: Big Data & PySpark
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Capstones: Resume Tips
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Capstones: Polishing Your GitHub
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Capstones: Front Ends
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Capstones: NLP Review
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Topic 34: Clustering
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Capstones: Unsupervised Learning Recap
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Topic 33: PCA
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Capstones: MVP Presentations Expectations
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Phase 3 Office Hour: Productionalizing Your Model
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Capstones: EDA Reminders
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Capstones: JupyterDash
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Capstones: Creating SQL Databases
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Phase 3 Office Hour: EDA, SMOTE
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Capstones: APIs and Webscraping Review
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Topic 31: Support Vector Machines
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Capstone Kickoff!
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[PT 022221] Topic 40: Neural Networks
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Topic 30: Ensemble Methods (Boosting)
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Phase 4 Office Hour: Presentation/Business Case Tips
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Topic 30: Ensemble Methods (Bagging)
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Topic 42: Tuning Neural Networks
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Phase 4 Project Introduction
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Topic 41: Deep Neural Networks (Parameter Tuning, CNNs)
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Topic 32: Pipelines (+ GridSearch + Project 3 Kickoff)
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Topic 40: Neural Networks
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Topic 29: Decision Trees
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Topic 39: Deeper NLP
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Topic 28: Naive Bayes
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Topic 39: Natural Language Processing
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Topic 27: KNN
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Topic 38: Time Series Models
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Topic 37: Time Series Data
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Topic 36: Recommendation Systems
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Topic 35: Big Data / PySpark
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Topic 25: Logistic Regression
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Topic 34: Clustering
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Topic 33: PCA
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Topic 23: Calculus
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Phase 3 Office Hour: Pickling a Model
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Topic 22: Linear Algebra
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Phase 3 Office Hours: EDA and Class Imbalances
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Topic 31: Support Vector Machines
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Topic 30: Ensemble Methods (Boosting)
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Topic 30: Ensemble Methods (Bagging)
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Topic 29: Decision Trees
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Topic 32: Pipelines | Project 3 Project Intro
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Topic 28: Bayesian Classification
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Topic 27: KNN
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Topic 25/26: Logistic Regression
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Phase 2 Office Hour: Presentations
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Topic 24: Regularization (Ridge and Lasso)
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Topic 23: Calculus
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Topic 22: Linear Algebra
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Topic 21: Object Oriented Programming
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Phase 2 Office Hour: Interpreting Transformed Data
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Phase 2 Office Hour: Functions, Assumptions
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Phase 2 Office Hour: Metrics, Residuals
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Topic 20: Extensions to Linear Models
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Phase 2 Office Hour
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Phase 2 Project Introduction
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Topic 20: Extensions to Linear Models
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Phase 2 Project Introduction
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Topic 19: Multiple Regression
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Topic 19: Multiple Regression
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Topic 18: Introduction to Linear Regression
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Topic 18: Introduction to Linear Regression
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Topic 17: Bayesian Statistics
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Topic 16: AB Testing
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Topic 17: Bayesian Statistics
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Topic 15: Statistical Power and ANOVA
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Topic 15: Statistical Power
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Topic 16: AB Testing
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Topic 14: Hypothesis Testing
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Topic 13: Central Limit Theorem, Confidence Intervals
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Topic 12: Statistical Distributions
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Topic 14: Hypothesis Testing
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Topic 11: Combinatorics and Probability
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Phase 1 Office Hour: Readmes & Project Submission Instructions
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Topic 13: CLT, Confidence Intervals
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Phase 1 Office Hour: Presentations
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Phase 1 Office Hour: Organizing Your Work
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081720 Capstones: Resumes
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Topic 12: Statistical Distributions
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Topic 10: Web Scraping (BeautifulSoup)
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Topic 9: APIs
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Topic 11: Combinatorics and Probability
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Topic 8: Other Database Structures (MongoDB)
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081720 Capstones: DS Interviews
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Phase 1 Project Introduction
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Topic 6/7: SQL
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081720 Capstones: Front Ends (Flask, Dash)
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Topic 5a: Data Visualizations
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Phase 1 Office Hour: Submitting on Canvas
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Topic 5: Data Cleaning in Pandas
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Phase 1 Office Hour: Readmes
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Topic 4: Data Analysis in Pandas
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Topic 3: Data Analysis in Base Python
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[PT110920] Recommendation Systems
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Topic 2: Bash and Git
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Phase 1 Project: Putting Together Presentations
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Topic 1: Getting Started with Data Science
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Topic 8: Other Database Structures (MongoDB)
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081720 Capstones: JupyterDash
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051721FT Orientation: Welcome to Flatiron School!
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Phase 1 Project Kickoff!
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Topic 10: Web Scraping
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Topic 9: JSON & APIs
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Topic 7: SQL & Relational Databases
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Capstones: Deliverables and DS Interviews Overview
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Topic 6: Data Visualization
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Capstones: Front-Ends (Dash and Flask)
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Topic 5: Data Cleaning in Pandas
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Capstones: Preparing Your GitHub
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Topic 4: Numpy and Pandas
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Topic 3: Control Flows, Functions, Arguments
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Capstones: Presentations + Readme
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Capstones: Preparing a DS Resume
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Topic 2: Bash and Git
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Topic 1: Getting Started with Data Science
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Capstones: Time Series Recap/Extensions/Alternatives
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Orientation: Expectations, How to Use Canvas
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Orientation: Welcome to Flatiron School!
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Capstones: Clustering Overview
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Capstones: Preparing MVP Presentations
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Capstones: NLP Overview
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Capstones: JupyterDash
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Capstones: Creating SQL Tables
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Topic 22: Linear Algebra
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Capstones: Reviewing APIs and Webscraping
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Capstone Kickoff! (+ Canvas Overview)
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Probability Office Hours (3/09/2021)
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Capstones: Wrapping Up!
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Capstones: Creating a Flask app with Dash
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Capstones: Dash and Flask Frontends
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Mod 4 Office Hours: Time Series and NLP Questions
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Capstones: NLP Overview
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Section 42: Tuning Neural Networks
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Capstones: Clustering
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Capstones: Resume & GitHub tips
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Mod 4 Project Introduction
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Capstones: MVP Presentations
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Capstones: Data Science Interviews
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Section 41: Deep Neural Networks (Tuning, CNNs)
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Capstones: JupyterDash
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Section 40: Introduction to Neural Networks
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Capstones: Putting Data into SQL
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Capstones: APIs/Webscraping Review
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Capstone Kickoff!
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Section 39a: Natural Language Processing (word embeddings and LDA)
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Phase 4 Office Hour 4
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Section 39: Natural Language Processing
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Phase 4 Office Hours 3
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Phase 4 Office Hours 2
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Phase 4 Office Hours 1
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Section 38: Time Series Modeling
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Phase 4 Project Introduction
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Section 37: Time Series Data
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Topic 42: Tuning Neural Networks (Pretrained networks, GridSearching your network, RNNs)
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Topic 41: Deep Neural Networks (Tuning and CNNs)
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Section 36: Recommendation Systems
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Topic 40: Introduction to Neural Networks
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Topic 39a: Deep NLP (Word Embeddings and Topic Modeling)
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Section 35: Big Data + PySpark
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Topic 39: Natural Language Processing
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Topic 38: Time Series Models
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Topic 37: Working with Time Series Data
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Section 34: Clustering
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Section 33: Principal Component Analysis
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Topic 36: Recommendation Systems
Скачать
Topic 35: Big Data + PySpark
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Topic 34: Clustering
Скачать
Topic 33: Principal Component Analysis
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Phase 3 Office Hours: KNN Imputation, Hyperparameters and more Qs
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Phase 3 Office Hours: Questions on Scaling, Multiclass Classification
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Mod 3 Office Hours: Questions
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Phase 3 Office Hours: Presentation, Class Imbalances, Confounding Variables and more!
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Topic 21: Object Oriented Programming
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Mod 3 Office Hours 1: Presentations
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Phase 3 Project Introduction
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Topic 31: SVM + Pipelines!
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Topic 30: Ensemble Methods (Boosting)
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Mod 3 Office Hours: Object Oriented Programming + Scripting
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Topic 30: Ensemble Methods (Bagging)
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Mod 3 Project Introduction
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Topic 29: Decision Trees
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Канал: Yish Lim
Capstone Kickoff!
Скачать
Phase 4 Project Presentations!
Скачать
Phase 4 Office Hour
Скачать
Linear Regression Guided Practice (DS Flex 11/08/2021)
Скачать
Phase 4 Project Kickoff
Скачать
Topic 42: Tuning Neural Networks
Скачать
Topic 36: Recommendation Systems
Скачать
Topic 41: Deep Neural Networks
Скачать
Topic 40: Neural Networks
Скачать
Topic 39: Advanced NLP
Скачать
Topic 39: Natural Language Processing
Скачать
Topic 38: Time Series Models
Скачать
Topic 37: Time Series Data
Скачать
Capstones: Prepping for DS Interviews
Скачать
Topic 35: Big Data & PySpark
Скачать
Capstones: Resume Tips
Скачать
Capstones: Polishing Your GitHub
Скачать
Capstones: Front Ends
Скачать
Capstones: NLP Review
Скачать
Topic 34: Clustering
Скачать
Capstones: Unsupervised Learning Recap
Скачать
Topic 33: PCA
Скачать
Capstones: MVP Presentations Expectations
Скачать
Phase 3 Office Hour: Productionalizing Your Model
Скачать
Capstones: EDA Reminders
Скачать
Capstones: JupyterDash
Скачать
Capstones: Creating SQL Databases
Скачать
Phase 3 Office Hour: EDA, SMOTE
Скачать
Capstones: APIs and Webscraping Review
Скачать
Topic 31: Support Vector Machines
Скачать
Capstone Kickoff!
Скачать
[PT 022221] Topic 40: Neural Networks
Скачать
Topic 30: Ensemble Methods (Boosting)
Скачать
Phase 4 Office Hour: Presentation/Business Case Tips
Скачать
Topic 30: Ensemble Methods (Bagging)
Скачать
Topic 42: Tuning Neural Networks
Скачать
Phase 4 Project Introduction
Скачать
Topic 41: Deep Neural Networks (Parameter Tuning, CNNs)
Скачать
Topic 32: Pipelines (+ GridSearch + Project 3 Kickoff)
Скачать
Topic 40: Neural Networks
Скачать
Topic 29: Decision Trees
Скачать
Topic 39: Deeper NLP
Скачать
Topic 28: Naive Bayes
Скачать
Topic 39: Natural Language Processing
Скачать
Topic 27: KNN
Скачать
Topic 38: Time Series Models
Скачать
Topic 37: Time Series Data
Скачать
Topic 36: Recommendation Systems
Скачать
Topic 35: Big Data / PySpark
Скачать
Topic 25: Logistic Regression
Скачать
Topic 34: Clustering
Скачать
Topic 33: PCA
Скачать
Topic 23: Calculus
Скачать
Phase 3 Office Hour: Pickling a Model
Скачать
Topic 22: Linear Algebra
Скачать
Phase 3 Office Hours: EDA and Class Imbalances
Скачать
Topic 31: Support Vector Machines
Скачать
Topic 30: Ensemble Methods (Boosting)
Скачать
Topic 30: Ensemble Methods (Bagging)
Скачать
Topic 29: Decision Trees
Скачать
Topic 32: Pipelines | Project 3 Project Intro
Скачать
Topic 28: Bayesian Classification
Скачать
Topic 27: KNN
Скачать
Topic 25/26: Logistic Regression
Скачать
Phase 2 Office Hour: Presentations
Скачать
Topic 24: Regularization (Ridge and Lasso)
Скачать
Topic 23: Calculus
Скачать
Topic 22: Linear Algebra
Скачать
Topic 21: Object Oriented Programming
Скачать
Phase 2 Office Hour: Interpreting Transformed Data
Скачать
Phase 2 Office Hour: Functions, Assumptions
Скачать
Phase 2 Office Hour: Metrics, Residuals
Скачать
Topic 20: Extensions to Linear Models
Скачать
Phase 2 Office Hour
Скачать
Phase 2 Project Introduction
Скачать
Topic 20: Extensions to Linear Models
Скачать
Phase 2 Project Introduction
Скачать
Topic 19: Multiple Regression
Скачать
Topic 19: Multiple Regression
Скачать
Topic 18: Introduction to Linear Regression
Скачать
Topic 18: Introduction to Linear Regression
Скачать
Topic 17: Bayesian Statistics
Скачать
Topic 16: AB Testing
Скачать
Topic 17: Bayesian Statistics
Скачать
Topic 15: Statistical Power and ANOVA
Скачать
Topic 15: Statistical Power
Скачать
Topic 16: AB Testing
Скачать
Topic 14: Hypothesis Testing
Скачать
Topic 13: Central Limit Theorem, Confidence Intervals
Скачать
Topic 12: Statistical Distributions
Скачать
Topic 14: Hypothesis Testing
Скачать
Topic 11: Combinatorics and Probability
Скачать
Phase 1 Office Hour: Readmes & Project Submission Instructions
Скачать
Topic 13: CLT, Confidence Intervals
Скачать
Phase 1 Office Hour: Presentations
Скачать
Phase 1 Office Hour: Organizing Your Work
Скачать
081720 Capstones: Resumes
Скачать
Topic 12: Statistical Distributions
Скачать
Topic 10: Web Scraping (BeautifulSoup)
Скачать
Topic 9: APIs
Скачать
Topic 11: Combinatorics and Probability
Скачать
Topic 8: Other Database Structures (MongoDB)
Скачать
081720 Capstones: DS Interviews
Скачать
Phase 1 Project Introduction
Скачать
Topic 6/7: SQL
Скачать
081720 Capstones: Front Ends (Flask, Dash)
Скачать
Topic 5a: Data Visualizations
Скачать
Phase 1 Office Hour: Submitting on Canvas
Скачать
Topic 5: Data Cleaning in Pandas
Скачать
Phase 1 Office Hour: Readmes
Скачать
Topic 4: Data Analysis in Pandas
Скачать
Topic 3: Data Analysis in Base Python
Скачать
[PT110920] Recommendation Systems
Скачать
Topic 2: Bash and Git
Скачать
Phase 1 Project: Putting Together Presentations
Скачать
Topic 1: Getting Started with Data Science
Скачать
Topic 8: Other Database Structures (MongoDB)
Скачать
081720 Capstones: JupyterDash
Скачать
051721FT Orientation: Welcome to Flatiron School!
Скачать
Phase 1 Project Kickoff!
Скачать
Topic 10: Web Scraping
Скачать
Topic 9: JSON & APIs
Скачать
Topic 7: SQL & Relational Databases
Скачать
Capstones: Deliverables and DS Interviews Overview
Скачать
Topic 6: Data Visualization
Скачать
Capstones: Front-Ends (Dash and Flask)
Скачать
Topic 5: Data Cleaning in Pandas
Скачать
Capstones: Preparing Your GitHub
Скачать
Topic 4: Numpy and Pandas
Скачать
Topic 3: Control Flows, Functions, Arguments
Скачать
Capstones: Presentations + Readme
Скачать
Capstones: Preparing a DS Resume
Скачать
Topic 2: Bash and Git
Скачать
Topic 1: Getting Started with Data Science
Скачать
Capstones: Time Series Recap/Extensions/Alternatives
Скачать
Orientation: Expectations, How to Use Canvas
Скачать
Orientation: Welcome to Flatiron School!
Скачать
Capstones: Clustering Overview
Скачать
Capstones: Preparing MVP Presentations
Скачать
Capstones: NLP Overview
Скачать
Capstones: JupyterDash
Скачать
Capstones: Creating SQL Tables
Скачать
Topic 22: Linear Algebra
Скачать
Capstones: Reviewing APIs and Webscraping
Скачать
Capstone Kickoff! (+ Canvas Overview)
Скачать
Probability Office Hours (3/09/2021)
Скачать
Capstones: Wrapping Up!
Скачать
Capstones: Creating a Flask app with Dash
Скачать
Capstones: Dash and Flask Frontends
Скачать
Mod 4 Office Hours: Time Series and NLP Questions
Скачать
Capstones: NLP Overview
Скачать
Section 42: Tuning Neural Networks
Скачать
Capstones: Clustering
Скачать
Capstones: Resume & GitHub tips
Скачать
Mod 4 Project Introduction
Скачать
Capstones: MVP Presentations
Скачать
Capstones: Data Science Interviews
Скачать
Section 41: Deep Neural Networks (Tuning, CNNs)
Скачать
Capstones: JupyterDash
Скачать
Section 40: Introduction to Neural Networks
Скачать
Capstones: Putting Data into SQL
Скачать
Capstones: APIs/Webscraping Review
Скачать
Capstone Kickoff!
Скачать
Section 39a: Natural Language Processing (word embeddings and LDA)
Скачать
Phase 4 Office Hour 4
Скачать
Section 39: Natural Language Processing
Скачать
Phase 4 Office Hours 3
Скачать
Phase 4 Office Hours 2
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Phase 4 Office Hours 1
Скачать
Section 38: Time Series Modeling
Скачать
Phase 4 Project Introduction
Скачать
Section 37: Time Series Data
Скачать
Topic 42: Tuning Neural Networks (Pretrained networks, GridSearching your network, RNNs)
Скачать
Topic 41: Deep Neural Networks (Tuning and CNNs)
Скачать
Section 36: Recommendation Systems
Скачать
Topic 40: Introduction to Neural Networks
Скачать
Topic 39a: Deep NLP (Word Embeddings and Topic Modeling)
Скачать
Section 35: Big Data + PySpark
Скачать
Topic 39: Natural Language Processing
Скачать
Topic 38: Time Series Models
Скачать
Topic 37: Working with Time Series Data
Скачать
Section 34: Clustering
Скачать
Section 33: Principal Component Analysis
Скачать
Topic 36: Recommendation Systems
Скачать
Topic 35: Big Data + PySpark
Скачать
Topic 34: Clustering
Скачать
Topic 33: Principal Component Analysis
Скачать
Phase 3 Office Hours: KNN Imputation, Hyperparameters and more Qs
Скачать
Phase 3 Office Hours: Questions on Scaling, Multiclass Classification
Скачать
Mod 3 Office Hours: Questions
Скачать
Phase 3 Office Hours: Presentation, Class Imbalances, Confounding Variables and more!
Скачать
Topic 21: Object Oriented Programming
Скачать
Mod 3 Office Hours 1: Presentations
Скачать
Phase 3 Project Introduction
Скачать
Topic 31: SVM + Pipelines!
Скачать
Topic 30: Ensemble Methods (Boosting)
Скачать
Mod 3 Office Hours: Object Oriented Programming + Scripting
Скачать
Topic 30: Ensemble Methods (Bagging)
Скачать
Mod 3 Project Introduction
Скачать
Topic 29: Decision Trees
Скачать