kaispace30098,github

amazon-order-invoice-checker

A colab notebooks to integrate and lookup amazon vendor central PO/invoice and Quickbooks customer data

audio-recognition

This notebook tries to preprocess the .wav files and by generating their spectrogram, we can turn the problem into a image classification problem.

auto-arima-on-sales

automatically apply the optimal order for an ARIMA model on product sales

autoencoder_based_feature_extraction

Deep learning project on signal processing. This research is on human motion monitoring data from wearable sensor. Building a convolutional Autoencoder to decode the input signal. The encoder output can be used as compressed representations to determine the correctness of execution.

competitor_analysis

This app integrates e-bike’s data from different retail online stores and amazon.com, and provide interactive competitor analysis on price recommendations and feature comparisons for dynamic pricing and future product developments.

customerservice_qc_report

Using SQL-like functions to summerize defective products/ types, customer care agent breakdown, and freashdesk type breakdown

data-mapping-woot-and-shipstation

This is an interactive notebook for transforming data to feed into both of each platform bidirectionally.

facebook_prophet_modeling_on_sales

In this project, the researcher try to explore the Facebook's Prophet model.Not like general autoregressive model, the y(t) is related by t itself.

git_demo

gitdemo

inventory_planning_amazonvc_breakdown

This notebook breaks down Amazon Brand Analysis into per-product inventory, Open purchase order, and forecasts with customized summaries and product details to aid inventory planning.

keras-rl_dqn

Solve OpenAI GYM problem

minitimeseries

Create a multi-output machine learning dataframe and apply LSTM/Bidirectional LSTM with Tensorflow early stopping/model Checkpoint callbacks to predict the temperature for next several days

new-po-serial-number-generator

Generate Serial number for each product in new Purchase order

nlp_transfer_learning_classification

Train a model with pretrained layer from tensorflow hub (universal-sentence-encoder) for sentiment analysis

polars_reference

a quick data analysis reference by using polars dataframe instead of pandas on blending sheets and summerize.

product-daily-keywords

Generate a word cloud for a product from daily relatedd tweets

qb_item_quick_report

Use transactions in Quickbooks item quick report for favorable supply planning, including sales projection from previous year sales grouped by customers, Croston's method intermittent daily demand forecasting, and ARIMA forecasting on converted monthly sales. Comparing with all transactions, these analysis will focus on mainly domestic transactions for benefits on inventory planning at Phoenix location.

recommendation_system_mf_deep_learning_modeling

This project is trying implement recommendation system with Keras API by collaborative filtering methods. The first model is a simple matrix factorization, which the ranking from user i to product j can be expressed as ui dot pj where elements u and p belong to decomposed user and product matricies.

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