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100-days-of-ml-code

100 Days of ML Coding

carsapp

cheap_airfare

Using web scraping techniques and clustering analysis machine learning algorithm to find out unusually cheap airfare

custom_visualizations_v2

customer_segmentation

Helped wholesale distributor find what types of customers they have to help them make better, more informed business decisions in the future. Used unsupervised learning techniques to see if any similarities exist between customers, and how to best segment customers into distinct categories.

dash-by-plotly

Interactive data analytics

data_modeling_with_postgres

django-deployment-example

Repo for the Django Deployment Example

flask_basics

flask basic app

fsnd

Public repository for the Full-Stack Nanodegree program.

fullstack-nanodegree-vm

fyyur

house_price

Using advanced regression techniques to predict the final price of each home with 79 explanatory variables describing (almost) every aspect of residential homes

jerry_data_analytics_question

loan_prediction

Using classification algorithms to identify the customer segments, those are eligible for loan amount so that they can specifically target these customers

machinelearningclassification

boilerplate code, scripts, modules, data for Introduction to Machine Learning with Python

mtpa

Modeling Techniques in Predictive Analytics with Python and R

portfolio

producthunt

programming-collective-intelligence-code

Examples from Programming Collective Intelligence

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

raspberrypi-fullstack

The code from the course Raspberry Pi:Full Stack

react-big-calendar

gcal/outlook like calendar component

sdr_insights

smartcab

Applied reinforcement learning techniques for a self-driving agent in a simplified world to aid it in effectively reaching its destinations in the allotted time.

stock_ticker

A stock_ticker app built Plotly Dash

store_sales

Built a predictive model and find out the sales of each product at a particular store ( 1559 products across 10 stores)

strata_data

A repo of sample data for our PyData Tutorial!

student_intervention

Based on students' performance data, developed a model that predicted the likelihood that a given student will pass, quantifying whether an intervention is necessary.

tri_yan

A eCommerce website with Django