ls_ds_124_bayesian_inference_assignment_ag.ipynb

ls_ds_131_simple_linear_regression_assignment_ag

ls_ds_132_inference_for_regression_assignment

ls_ds_134_linear_algebra_assignment_ag

merge_sort_algorithm

This repository contains a Python implementation of the Merge Sort algorithm, which is a divide-and-conquer sorting algorithm for efficiently sorting lists of elements.

module-challenge-intro-to-git

In this project you will be using the concepts learned in the Git for Web Development lesson to fork/clone/push/and submit a PR for each project during this sprint.

movie-domestic-gross

Re-created a visualization chart using Python and Matplotlib making it look as close as possible to a given original chart

no_sql_and_document_oriented_dbs

Set up and insert data from a sqlite database into a MongoDB instance.

personal-sentiment-analysis

Data Science project that implements sentiment analysis on your personal facebook account. By cross-examining the public timeline posts vs. the private messages, I created visualizations to discover if my private sentiment is different than my public sentiment. Then, I used a machine learning algorithm to predict what my future sentiment might be.

profiling-and-analyzing-the-yelp-dataset

Data Scientist Role Play: Profiling and Analyzing the Yelp Dataset

s_ds_114_make_explanatory_visualizations_assignment_ag

shakespearean-ish-text-generation

simple_linear_regression_project

Used Python to predict for how long a body has been buried.

sketch-classification-quickdraw

Used tensorflow, keras and a sample of the Quickdraw dataset to build a sketch classification model.

spotify-app

sql-calculate-participant-metrics

sql-challenge--practice-with-joins

sql-challenge-retrieve-data-from-a-database

sql-hackerrank-problems

sql-working-with-data

sql_chinook_database_explorer

Used SQLite to explore the Chinook database with SQL queries and gain insights into this fictional music store's data, from customers to tracks and albums.

tanzanian-water-pumps

Used supervised machine learning classification algorithms such as Decision Tree and Random Forest to predict whether or not water pumps in Tanzania require repair.

unit1-sprint-challenge-submission

unit2-data-science-bloomtech

vector-representation-of-indeed-job-listings-nlp

Used spaCy tokenizer to process the text and BeautifulSoap to remove HTML tags from the job descriptions. Built tokenizer and used CountVectorizer to get the word counts for each listing. Created dtm and tf-idf feature matrix. Built search engine to query the job listings and find documents that are similar to the desired job listings.

who-tweeted-what

Web application that uses a NLP machine learning model to analyze the textual content of tweets and predict which of two Twitter users most likely authored a user-generated text.

worldtrends

Used Python to gain insights of the relationship between fertility rate and life expectancy in a given period of time.