itsual Goto Github PK

ai_experiments

Test and experiment some of the wonderful ML/DL use cases

apache-hive_new-york-city-taxi-limousine-commission-tlc-data-analysis

-- PURPOSE: -- The purpose of this case study is to practise the concepts of Data Ingestion, Processing and big data analysis using Apache Hive platform. -- DATASET OVERVIEW: -- The dataset gives a better understanding of the taxi system so that the city of New York can improve the efficiency of in-city commute. -- It provides precise location coordinates for where the trip started and ended, timestamps for when the trip started and ended, plus a few other variables including fare amount, payment method, and distance travelled. -- However in this assignment, we ONLY consider the data of yellow taxis for November and December of the year 2017. -- The dataset has been placed in the HDFS storage of the lab. The path to the data files is as follows:'/common_folder/nyc_taxi_data/' or can be accessed from https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page

awesome-anything

General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

azure-power-bi-study-guide

Microsoft Azure & Power BI Study Guide

bite-sized-learning-python

clustering

corrosion_detection

credit_card_approval

ML model to predict if a credit card application of an applicant should be approved or rejected

customer_analytics

deep-learning

employee-attrition-prediction

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

imageanalysis

itsual

Config files for my GitHub profile.

lead-scoring

Logistic regression model to assign a lead score between 0 and 100 to each of the leads which can be used by the company to target potential leads

linear-regression

Car Price Prediction using OLS

llm-nexus-papers-frameworks-checkpoints

Awesome-LLM: a curated list of Large Language Model

logistic-regression

Telecom Customer Churn Prediction

ml-dataviz-cheat-sheets

Collection of machine learning data visualization related cheat sheets

publications

report-summary

Summarizer

stt

STT Demo

telecom-churn

Customer churn prediction using Logistic Regression and Random Forest modelling. Selecting the best churn predictors

time-series

tutorials

Ipython notebooks for math and finance tutorials

uber-supply-demand-gap-analysis

Problem Statement: Uber is facing driver cancellation and non availability of cars leading to loss of potential revenue. Clean up the Uber data Once done Identify the Root cause of the problem Specifically cancellation & non availability of cars Suggest ways to tackle the problem

whisper-gpt3

ChatGPT based trasncription

whisper-gpt3-streamlit

Whisper in combination with GPT-3