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Syllabus Class Repository Blogs

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Lecture Code + Recording

Module 1 ๐ŸŒฑ

Topic Code Video
Python pt. 1 solution youtube
Python pt. 2 solution youtube
Terminal Tips & Tricks N/A youtube
Numpy & Libraries solution youtube
Pandas Pt. 1 solution youtube
Pandas Pt. 2 solution youtube
Pandas Pt. 3 solution youtube
Pandas Tips & Tricks solution youtube
Matplotlib solution youtube
Seaborn solution youtube
Code Cleanliness solution youtube

Module 2 ๐ŸŒฟ

Topic Code Video
SQL Part 1 solution youtube
OOP solution youtube
SQL Part 2 solution youtube
Mod 1 Assessment Review N/A youtube
API solution youtube
Web Scraping solution youtube
API & Webscraping Practice solution N/A
OOP Part 2 solution youtube

Module 3 โ˜˜๏ธ

Topic Code Video
Mod 2 Assessment Review N/A youtube
Probability solution youtube
Random Variables solution youtube
Hypothesis Testing solution youtube
Confidence Intervals solution youtube 1 youtube 2
Effect Size solution youtube
Power and Bootstrap solution youtube 1 youtube 2

Module 4 ๐ŸŒฒ

Topic Code Video
Multiple Linear Regression solution youtube
Polynomial Regression solution youtube
Regularization solution youtube
Logistic Regression solution youtube
Classifcation solution youtube part 1 youtube part 2
Mod 4 Assessment Review N/A youtube

Module 5 ๐ŸŒต

Topic Code Video
Decision Tree solution youtube
Random Forest solution youtube
Pipelines solution youtube
Hadoop & Spark solution youtube
Docker/SparkML solution Morning Afternoon Password: commitment
Mod 5 Assessment Review N/A zoom
Graph Networks solution Morning Afternoon Password: commitment
ML + NLP solution Zoom Password: commitment
Word Vectors solution Zoom Password: commitment
Amazon Web Services solution Morning Afternoon Password: commitment

Module 6 ๐ŸŒต

Topic Code Video
Intro to Neural Networks N/A Morning Afternoon Password: commitment
Keras N/A Afternoon Password: commitment
Convolutional Neural Networks N/A Morning AfternoonPassword: commitment
Intro To GCP N/A Zoom
[OPTIONAL] RNNs & LSTMs N/A Morning AfternoonPassword: commitment
[OPTIONAL] Dask notebook Walkthrough

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