All Projects → MMBazel → Springboard-DataScienceTrack-Student

MMBazel / Springboard-DataScienceTrack-Student

Licence: other
Springboard Program: Data Science Career Track - NLP

Programming Languages

Jupyter Notebook
11667 projects
HTML
75241 projects

Projects that are alternatives of or similar to Springboard-DataScienceTrack-Student

Capstone.NET
.NET Core and .NET Framework binding for the Capstone Disassembly Framework
Stars: ✭ 108 (+17.39%)
Mutual labels:  capstone
pointer-sequence-reversal
No description or website provided.
Stars: ✭ 22 (-76.09%)
Mutual labels:  capstone
xplore
A python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.
Stars: ✭ 21 (-77.17%)
Mutual labels:  data-wrangling
Nano-Degree-Projects
🎓 Udacity Nano Degree Android Projects. All Needed projects you can check out my work here. Submitted and accepted projects.
Stars: ✭ 68 (-26.09%)
Mutual labels:  capstone
ror-capstone-lifestyle
RoR Capstone Project required at the end of Rails module in Microverse Curriculum. It is an app to create articles. It allows to edit profile, comment, vote and bookmark an article for future reads.
Stars: ✭ 13 (-85.87%)
Mutual labels:  capstone
Data-Wrangling-with-Python
Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
Stars: ✭ 90 (-2.17%)
Mutual labels:  data-wrangling
BlindAid
Capstone Project: Assist the blind in moving around safely by warning them of impending obstacles using depth sensing, computer vision, and tactile glove feedback.
Stars: ✭ 14 (-84.78%)
Mutual labels:  capstone
Artisto capstone
This is Capstone Project of Android Developer Nanodegree program.
Stars: ✭ 36 (-60.87%)
Mutual labels:  capstone
Udacity-Data-Analyst-Nanodegree
Repository for the projects needed to complete the Data Analyst Nanodegree.
Stars: ✭ 31 (-66.3%)
Mutual labels:  data-wrangling
pandas-workshop
An introductory workshop on pandas with notebooks and exercises for following along.
Stars: ✭ 161 (+75%)
Mutual labels:  data-wrangling
Data-Analyst-Nanodegree
This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.
Stars: ✭ 13 (-85.87%)
Mutual labels:  data-wrangling
pyrefine
Execute OpenRefine JSON scripts without OpenRefine (or Java)
Stars: ✭ 25 (-72.83%)
Mutual labels:  data-wrangling
Data-Science-101
Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
Stars: ✭ 19 (-79.35%)
Mutual labels:  data-wrangling
sql-novice-survey
Databases and SQL
Stars: ✭ 59 (-35.87%)
Mutual labels:  data-wrangling
ftrace
Simple Function calls tracer
Stars: ✭ 65 (-29.35%)
Mutual labels:  capstone
TranslucentMessages
Make the iOS Messages app translucent!
Stars: ✭ 18 (-80.43%)
Mutual labels:  springboard
whyqd
data wrangling simplicity, complete audit transparency, and at speed
Stars: ✭ 16 (-82.61%)
Mutual labels:  data-wrangling
ProxySwitcher
Easily enable / disable WiFi proxy on a jailbroken iOS device
Stars: ✭ 55 (-40.22%)
Mutual labels:  springboard
Chapter-2
Code examples for Chapter 2 of Data Wrangling with JavaScript
Stars: ✭ 16 (-82.61%)
Mutual labels:  data-wrangling
COFFEECON2020
This project is a fully responsive site that fulfills Microverse’s HTML/CSS Capstone Requirements
Stars: ✭ 33 (-64.13%)
Mutual labels:  capstone

alt text

Springboard Data Science Career Track

Hi!

My name is Mikiko Bazeley and this is my repo for the Springboard Data Science Track.

From Oct 2018 to April 2019 I completed a number of projects, including two capstones, as part of the DS track.

All of the documentation, code, and notes can be found here, as well as links to other resources I found helpful for successfully completing the program.

For questions or comments, please feel free to reach out on LinkedIn.

If you find my repo useful, let me know OR consider buying me a coffee! https://www.buymeacoffee.com/mmbazel .

Regards, Mikiko

alt text


Project List by Unit of Study

For a comprehensve list of the projects and corresponding skills needed, please see the list below.

1. The Python Data Science Stack

Topics covered:

  • Python
  • Matplotlib, Seaborn—visualization tools in Python
  • Writing clear, elegant, readable code in Python using the PEP8 standard

2. Data Wrangling

Topics covered:

  • Deep dive into Pandas for data wrangling
  • Data in files: Work with a variety of file formats from plain text (.txt) to more structured and nested formats files like csv and JSON
  • Data in databases: Get an overview of relational and NoSQL databases and practice data querying with SQL
  • APIs: Collect data from the internet using Application Programming Interfaces (APIs)

Projects:

3. Data Story

4. Statistical Inference

Topics covered:

  • Theory of inferential statistics
  • Statistical significance
  • Parameter estimation
  • Hypothesis testing
  • Correlation and regression
  • Exploratory data analysis
  • A/B testing

5. Machine Learning

Topics covered:

  • Scikit-learn
  • Supervised and unsupervised learning
  • Top machine learning techniques:
    • Linear and logistic regression
    • naive bayes
    • support vector machines
    • decision trees
    • clustering
  • Ensemble learning with random forests and gradient boosting
  • Best practices
  • Evaluating and tuning machine learning systems

6. Capstone Project 1: Building a Data Product

7. The Natural Language Processing (NLP) Track

Topics covered:

  • How to work with text and natural language data
  • NLP in Python, using common libraries such as NLTK and spaCy
  • Basics of Deep Learning in NLP using word2vec and TensorFlow
  • Data Science at Scale using Spark
  • Software Engineering for Data Scientists

8. Second Capstone Project: NLP

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].