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applehealthtogarminconnect

Python script & notebook to transfer Apple Health data to Garmin Connect.

artist_analyzer

Using BS4 to gather songs written by the artist and NLP to analyze the lyrics.

awslambdafunction_template

A template to create an AWS lambda function, the build package, and the lambda layer. The process is in notes.txt

cheatsheets

Data Science - Cheat sheets accumulated overtime.

computervision_opencv

cryptotokenscraper

This program scrapes a few website for information about the given crypto token.

cs-computerscience-buildweek1

Work on creating your own application in which users will be able to run different "Game of Life" scenarios. This module leads the reader through the fundamentals of Conways's "Game of Life" and will guide them through the process of creating an app utilizing tools and frameworks that have been taught over the course of their specific track.

cs-problemsolvingframework

Lambda School Computer Science - A combination of resources, guidelines, and how to's.

cs-unit1-datastructures

Lambda School Computer Science - Singly Linked Lists, Queues and Stacks, Doubly Linked Lists, Binary Search Trees, Related Code Challenge Problems.

cs-unit1-intropython1

Lambda School Computer Science - Each directory inside the src/ directory presents exercises revolving around a particular concept in Python. Not all of these concepts are unique to Python (in fact, most probably aren't). This means that you can leverage knowledge you've obtained via exposure to other programming languages towards learning Python.

cs-unit1-intropython2

Lambda School Computer Science - Up to this point, you've gotten your feet wet by working on a bunch of small Python programs. In this module, we're going to continue to solidify your Python chops by implementing a full-featured project according to a provided specification.

cs-unit3-algorithms

Lambda School Computer Science - Learn to interpret a problem, specification, or diagram and construct a plan for implementing a solution in code. Implement a first-pass solution after selecting from a naïve, brute-force, or greedy approach.

cs-unit3-iterativesorting

Lambda School Computer Science - Learn to implement many different solutions to the same problem: sort a list of integers in ascending order. You will also be using your newfound knowledge of complexity analysis to evaluate each implementation for efficiency.

cs-unit3-recursivesorting

Lambda School Computer Science - Learn to write a recursive merge sort algorithm. Learn when and how to use recursion will make you a better programmer and developer. It will give you one more tool in your toolbag whenever you face a problem that you need to solve.

cs-unit4-ds-buildweek1

Implement a few watershed algorithms that are very often used in the data science world. You've probably heard of these algorithms before. You might even have an idea of how they work. But to really solidify your understanding of them, you're going to implement them and then use your implementation just like how you would if you'd imported the algorithm from a data science or machine learning library.

cs-unit5-hashtables

Looking underneath the hood at how a hash table data structure works and answering questions like, how do hash tables work? What is a hash function? What is a hash collision and how are they handled? What is the “birthday problem”? What do we do when our hash table is full?

cs-unit6-graphs

What are Graphs? A graph is a great general-purpose data structure that can be used to solve a wide variety of computing problems. It is the general case of the trees with which you are already familiar, where edges can connect one vertex to any other, not just downward. We will explore how to implement graphs, and several of the algorithms surrounding graphs to how they can be applied to solving real-world problems.

cs-unit7-computerarchitecture

Explore how computers work at a very low level, giving you an additional perspective that helps you approach software development with more confidence. Basics, number bases, bitwise operations, the system stack, subroutines, CALL/RET.

cs_coursesvideos

List of Computer Science courses with video lectures.

cs_notes

A collection of important templates and notes that I find useful. SQL - Flask - AWS Lambda Function - NLP - Classification - Regression - NN - Algorithm Analysis

datasets

Data sets I have used and collected for projects.

ds---buildweek1-saltyhackers

Lambda School Data Science - Build Week 1 - A web app that rates and ranks the 'saltiness' of the comments from Hacker News using NLP.

ds-buildweek2-songrecommender

Lambda School Data Science - Build Week 2 - A flask app that uses the Spotify API to recommend songs.

ds-codechallenges

Lambda School Data Science - Code Challenges.

ds-unit1-sprint1-dealingwithdata

Lambda School Data Science - Working with data, getting it in the right “shape” and format for analysis and modeling is always a challenge. Practice these skills, and learn to appreciate the many tools Python gives us for these tasks.

ds-unit1-sprint2-datawranglingandstorytelling

Lambda School Data Science - Working with data, getting it in the right “shape” and format for analysis and modeling is always a challenge. Practice these skills, and learn to appreciate the many tools Python gives us for these tasks.

ds-unit1-sprint3-statisticaltestsandexperiments

Lambda School Data Science - Learn about using the mean, median, mode, standard deviation metrics, but go deeper into their meaning and interpretation, in order to perform hypothesis tests that allow us to state with “confidence” conclusions about our data.

ds-unit1-sprint4-linearalgebra

Lambda School Data Science - Linear Algebra is the foundation of nearly all the numerical routines used for practical statistics and machine learning. It’s a deep topic, learn enough to appreciate how it is used and applied to the many models.

ds-unit2-sprint2-kagglechallenge

Lambda School Data Science - A project about water pumps in Tanzania. Can you predict which water pumps are faulty? Decision trees, random forests, cross-validation, classification metrics.

ds-unit2-sprint2-regressionclassification

Lambda School Data Science - Learning about predictive modeling with a linear models for classification tasks, called logistic regression.