zohaib2407 Goto Github PK

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

anomaly-detection-in-time-series-data

Goal is to detect anomaly in a time series data in manufacturing industry. Manufacturing industry is a heavy industry which requires large amount of capital investment on heavy machinery assets which are most critical for manufacturing. The ability to detect any anomaly in advance would result in mitigating the risk of an equipment failure.

artificially-intelligent-chatbot-using-deep-learning

clustering-methodologies---

A demonstration on working of different clustering methodologies.

fake-news-detection-using-text-mining

Aim to perform binary classification of our Liar data with the help of concepts pertaining to Natural Language Processing and Machine Learning.

hello-world

My first with github

higher-scores-for-reddit-posts-using-big-data

This project aims to understand the factors that influence the “score” (=upvote – downvote1 value) of a post

loan-default-prediction--in-online-lending

This is an analysis for predicting the status of a loan.

machine-learning-model-deployement-using-different-tech

Deployment and Demonstration of a CNN based image classifier using Remote VM, Heroku, GCP Cloud Run, GCP Cloud Function

models-for-investment-decisions-in-online-lending

This analysis will consider in more detail the question on effective investment decisions based on our predictive models.

pokemon---analysis-and-predictions

An analysis on publicly available 'Pokemon' dataset.

text-mining

Text Mining using Yelp reviews data

text-mining-predictions-of-review-stars-based-on-sentiments

Analysis on reviews data from Yelp to predict business ratings based on review sentiments

zohaib2407

Config files for my GitHub profile.