100-days-of-ml-code

100 Days of ML Coding

911-calls-data-capstone-project

amexpert-hackathon

AmExpert-2018-Machine-Learning-Hackathon (Analytics Vidhya) Introduction: American Express and Analytics Vidhya presents “AmExpert”. An amazing opportunity to showcase your analytical abilities and talent. Problem Statement Recent years have witnessed a surge in the number of internet savvy users. Companies in the financial services domain leverage this huge internet traffic arriving at their interface by strategically placing ads/promotions for cross selling of various financial products on a plethora of web pages. The digital analytics unit of Best Cards Company uses cutting edge data science and machine learning for successful promotion of its valuable card products. They believe that a predictive model that forecasts whether a session involves a click on the ad/promotion would help them extract the maximum out of the huge clickstream data that they have collected. You are hired as a consultant to build an efficient model to predict whether a user will click on an ad or not, given the following features: Clickstream data/train data for duration: (2nd July 2017 – 7th July 2017) Test data for duration: (8th July 2017 – 9th July 2017) User features (demographics, user behaviour/activity, buying power etc.) Historical transactional data of the previous month with timestamp info (28th May 2017– 1st July 2017). This data contains * actions (views/interest registered) taken by the user historically on the product page via an ad or other sources Ad features (product category, webpage, campaign for ad etc.) Date time features (exact timestamp of the user session) A Binary Classification Problem for user ad-clicks, in which data pertaining to User Demographics, User actions and Historical logs of the user are provided for some Product id's.

amplify-homes

cascade

counttrashkula

counttrashkula_monday

cute02

I have worked on the adult dataset to predict income of a person

damaged-car-parts-labelling-using-tensorflow

damaged-car-parts-prediction-using-yolov8

evalai

:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

face-liveness-detection

galvanicskinresponse-arduino-

This Arduino based code was written to drive a Galvanic Skin Receptor, which measures the amount of perspiration on the skin to determine stress levels.

github-profile-readme-generator

🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.

gsr_arduino-x

Galvanic Skin Response Sensing

hackpack

LED dot matrix display on a backpack

health_care_ticketing_system

hote

Assignments submitted at INSOFE Bangalore

iotwatermonitoring

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

learninggit

learning how to use git with vinayan

linear-regression-activities

datasets on which i have practiced Linear regression

liveness-detection

localgpt

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

manual-neural-network

A simple approach to understanding how neural networks are built.

mid_term_hackathon

monumento

For CFI Hackathon

my-first-chatbot

new3